<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="systematic-review" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.168805.2</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Systematic Review</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>The Interview Trap: A systematic review on factors affecting the validity of Employment Interviews</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 2; peer review: 1 approved, 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Morales</surname>
                        <given-names>Hern&#x00e1;n</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>L&#x00f3;pez</surname>
                        <given-names>Aida</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-9008-7960</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>MIU City University Miami, Miami, Florida, USA</aff>
                <aff id="a2">
                    <label>2</label>Research Institute UNIR iTED, Universidad Internacional de La Rioja (UNIR), Logro&#x00f1;o, La Rioja, Spain</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:aida.lopezserrano@unir.net">aida.lopezserrano@unir.net</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>12</day>
                <month>5</month>
                <year>2026</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2025</year>
            </pub-date>
            <volume>14</volume>
            <elocation-id>1381</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>4</day>
                    <month>5</month>
                    <year>2026</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Morales H and L&#x00f3;pez A</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/14-1381/pdf"/>
            <abstract>
                <p>This article examines factors that compromise the validity and reliability of employment interview selection processes, with a focus on the influence of interviewer bias, format, and decision-making processes. The purpose of the present Systematic Review (SR) is to determine how different types and formats of interview modalities affect the selection process, consolidate empirical findings regarding the influence of the most widespread interviewer biases, and identify bias mitigation strategies that can enhance the interview selection process. The methodology used PECO and PRISMA criteria to identify keywords, define search strings, and 19 full review articles published between 2015 and 2025 in peer-reviewed journals. This time frame captures the most recent developments and relevant research, recognizing the opportunity to reflect this under-researched area, specifically the role of bias and interview format in employment selection processes. The results emphasize the importance of pre-and post-interview reflection, interviewer preparedness, and gathering applicant feedback to refine selection decisions. In conclusion, the interview process can be improved by offering interviewer refresher training, utilizing recorded interviews to minimize the effects of selective memory, and implementing bias-mitigation strategies, such as job analysis and interviewer self-awareness, to enhance the validity and reliability of employment selection interviews.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Biases</kwd>
                <kwd>Rapport</kwd>
                <kwd>Validity</kwd>
                <kwd>Reliability</kwd>
                <kwd>and Interview formats</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>Universidad Internacional de La Rioja</funding-source>
                </award-group>
                <funding-statement>This research is partially funded by the Research Institute UNIR iTED (http://ited.unir.net), at Universidad Internacional de La Rioja (UNIR, Spain), by the research project ref: 20250731-iTED-MIU</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
        <notes>
            <sec sec-type="version-changes">
                <label>Revised</label>
                <title>Amendments from Version 1</title>
                <p>Thank you for these helpful optional suggestions. The major differences completed were to revise the manuscript to improve clarity and transparency, focusing on the feedback provided by the original reviewers. We added a brief clarifying paragraph in the Introduction, restating the two dimensions of the review and the two main research questions in a single compact block. We clarified the review procedures by stating that both researchers conducted the screening, eligibility review, and quality assessment stages independently. In addition, we specified that the final database search was conducted on December 27, 2024, and that searches were not re-run before submission. We added a clearly labeled Limitations paragraph noting the relatively small number of included studies (n = 19), the concentration of the evidence in specific topical areas and in U.S.-based studies, and the absence of quantitative effect aggregation. Finally, we strengthened the practical implications by linking recommendations more explicitly to named studies in the text, including examples related to recorded interviews, interviewer training, and structured scoring/calibration procedures.</p>
            </sec>
        </notes>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>Interviewing candidates is not an exact science, but it requires time, training, and involves more than simply evaluating a candidate&#x2019;s hard and soft skills. A factor discussed in the reviewed literature indicates that selecting the correct interview method and having an experienced interviewer is crucial for fully understanding the candidate&#x2019;s potential for long-term adaptation to the team and company culture.</p>
            <p>Job interviews are one of the most used and efficient tools for selecting the best candidate for a job.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> &#x201c;An interview is a method of asking questions to gain qualitative and quantitative data&#x201d;.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> At its core, interviews are used to gain insights into an applicant&#x2019;s experiences, skills, motivations, and knowledge. A job interview can be stressful, nerve-wracking, frustrating, and exciting. Regardless of how many times a candidate has applied and been invited for a face-to-face interview, or as is the norm today, online interviews, an interview should be an open, fair, and unbiased opportunity where the candidate shows their experience, passion, skills, and motivation for the job, to build rapport while answering questions relevant to the position.</p>
            <p>Building on this idea, the interview setting is not as simple as it looks. Several significant factors are involved in the interview process. There are two sides: the interviewer or panel of interviewers and the interviewee, and several methods of conducting the interview. It is short; the candidate does most of the talking, and even if the modality is face-to-face, there is not enough time to develop a close relationship. Part of the foundation is for the interviewer or panel to understand that the outcome of the interview selection entails expectations, beliefs, needs, intentions, and judgment that, in many ways, will influence the interaction between the parties involved and the final decision.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
            </p>
            <p>Some impressions and similarities can influence a positive selection,
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> or suggest, there is still an opportunity to examine issues with employee selection and the potential for negative behaviors.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> Structured interviews are designed to assess a wide range of job-related constructs, and validity can be affected unless the criteria for the interview are evaluated before the event occurs.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> Trained interviewers who are knowledgeable about professional standards and the legal implications of discrimination or bias can become more aware and better equipped to combat biased thinking when provided with awareness training.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup>
            </p>
            <p>While the interview remains an interaction, a social method to evaluate applicants, and where there is a trade of data, words, and emotions between an interviewer and an applicant, the goal of the interview is to offer a reliable, validated, fair interview experience to both the interviewer and candidate in order to assess the interviewee&#x2019;s suitability for employment Interviewers have the opportunity, time, and focus to leverage this two-way exchange to gather and corroborate additional sources of information rather than solely relying on the applicant&#x2019;s comprehensive interview package.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> There is still an ongoing debate about whether some interviewers or interview modalities are more effective than others in conducting interviews.</p>
            <p>This paper presents an overview of the research conducted in the field through a systematic review (SR) of factors such as interviewer biases and the impact of selecting the appropriate interview modality in the employment interview selection process. The paper is organized into the following sections. The introduction provides an overview of current studies related to the most frequent biases that persist in the interview selection process, as well as the different benefits and differences in the interview modality. The methodology section explains the protocol applied and the process for extracting relevant data. The authors also provide a detailed description of the results of the data extraction process. The discussion section presents a dissenting view to answer the research questions. It addresses how the discussed factors can influence and risk the validity and reliability of the interview selection. Finally, the conclusion summarizes the main inferences drawn from the study.</p>
            <p>The researchers conducted a literature search because, although researchers have published several studies since 2015, most meta-analyses have primarily focused on the validity and effectiveness of selection interviews. For instance, some studies evaluate the validity of specific interviews in relation to specific constructs.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup> Another analysis corrects biases in previous reviews on the validity of interviews, confirming the usefulness of structured interviews, albeit with slightly lower validity than initially estimated.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> Furthermore, other research examines how prior work experience predicts performance and turnover, providing relevant evidence on job selection methods that include interviews.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup>
            </p>
            <p>These studies did not explicitly analyze the intersection of different interviewer biases and interview modalities, nor did they offer recommendations for improving the quality, effectiveness, and experience of the interview selection process. The authors identify the need to combine various factors in the interview selection process.</p>
            <p>By examining both the personal and technical sides of employment interviews, this review highlights the tension between human bias and structural design. We first look at how an interviewer&#x2019;s judgment affects the validity of a hire (RQ1). Then, we evaluate how various interview formats&#x2014;from structure to modality&#x2014;shape the overall fairness and accuracy of the process (RQ2).</p>
            <sec id="sec2">
                <title>Objectives</title>
                <p>This SR will address two dimensions and aims to determine how the different types and formats of interview modalities can affect the selection process, consolidate empirical findings regarding the influence of the most widespread interviewer biases, and identify bias mitigation strategies that can add value to the interview selection process. By addressing these factors, our research paper aims to provide insights into how to improve the fairness and effectiveness of interviews, ultimately contributing to better hiring decisions.</p>
                <p>We framed our research objectives into the following main research questions (RQs), each one aligned with one of the two core dimensions under review.</p>
                <p>Accordingly, our first research question (RQ) focuses on the personal dimension by examining how interviewer biases influence decision-making and affect selection outcomes.</p>
                <disp-quote>
                    <p>RQ1. To what extent do bias mitigation strategies (e.g., structured rubrics, interviewer training, building rapport, anonymized evaluations) improve the reliability and validity of selection decisions compared to traditional interview practices?</p>
                </disp-quote>
                <p>The researchers have organized this research question into the following sub-questions.
                    <list list-type="order">
                        <list-item>
                            <label>1.1.</label>
                            <p>What are the most widespread types of biases exhibited by interviewers during an interview selection process?</p>
                        </list-item>
                        <list-item>
                            <label>1.2.</label>
                            <p>How does interview training reduce the interviewer&#x2019;s first impression bias?</p>
                        </list-item>
                        <list-item>
                            <label>1.3.</label>
                            <p>To what extent do standardized scoring systems and feedback mechanisms among interviewers (e.g., post-interview calibration sessions) improve interviewer ratings and interview reliability?</p>
                        </list-item>
                    </list>
                </p>
                <p>The second research question focuses on the technical dimension by analyzing the types and formats of interviews used in the selection processes.</p>
                <disp-quote>
                    <p>RQ2. What is the effect of bias mitigation strategies (e.g., structured rubrics, interviewer training, rapport, anonymized evaluations) compared to traditional interview practices on perceived fairness and the reliability of hiring decisions?</p>
                </disp-quote>
                <p>The researchers have organized this research question into the following sub-questions.</p>
                <p>

                    <list list-type="order">
                        <list-item>
                            <label>2.1.</label>
                            <p>To what extent do structured interviews improve the predictive validity of hiring decisions compared to unstructured interviews?</p>
                        </list-item>
                        <list-item>
                            <label>2.2.</label>
                            <p>How does the selected modality (type or formats of interviews
                                <bold>)</bold> compare in terms of validity and reliability?</p>
                        </list-item>
                        <list-item>
                            <label>2.3.</label>
                            <p>How does rapport-building enhance interview outcomes across various interview formats?</p>
                        </list-item>
                    </list>
                </p>
            </sec>
        </sec>
        <sec id="sec3">
            <title>Methods and materials</title>
            <p>This review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines to ensure a systematic review of the literature.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> Compliance with PRISMA promotes transparency, clarity, and replicability in systematic review.</p>
            <sec id="sec4">
                <title>Eligibility criteria</title>
                <p>Studies will be selected according to the criteria outlined below:</p>
                <p>

                    <bold>Study design</bold>: This research employed the PECO model because the study is rooted in social science, not clinical intervention. The focus lies in examining exposure factors&#x2014;specifically, how different types of interviewer bias and interview modalities (e.g., in-person, video, or phone) are associated with variations in the interview selection process rather than testing a specific intervention or treatment. Therefore, the PECO structure&#x2014;Population, Exposure, Comparison, and Outcome provides a more appropriate and flexible framework for guiding this systematic review. PECO criteria was used to identify keywords and define search strings based on research questions.</p>
                <disp-quote>
                    <p>

                        <bold>P (Population)</bold>: Institutions (schools, hospitals, government) involved in employment selection.</p>
                    <p>

                        <bold>E (Exposure)</bold>: Interview modalities and interviewer bias types.</p>
                    <p>

                        <bold>C (Comparison)</bold>: Between interview formats or bias mitigation strategies.</p>
                    <p>

                        <bold>O (Outcomes)</bold>: Presence or reduction of bias, perceived fairness, validity, and reliability of interview outcomes.</p>
                </disp-quote>
                <p>

                    <italic toggle="yes">Timing:</italic> Between 2015 and 2025 will be selected for inclusion, because of the inquiry to research four years before and after COVID-19.</p>
                <p>

                    <italic toggle="yes">Setting:</italic> Restrictions by document type will analyze academic articles published during this period.</p>
                <p>

                    <italic toggle="yes">Language</italic>: To ensure consistency, clarity, and interpretation and minimize translation errors, this review included only peer-reviewed articles published in English. Using a single language enhances the accuracy of data analysis, particularly when examining complex constructs such as interviewer bias.</p>
            </sec>
            <sec id="sec5">
                <title>Information sources</title>
                <p>To develop this systematic review, an exhaustive search was conducted in major scientific databases, including Web of Science and Scopus, to identify relevant and current studies on the topic. In addition, the search was supplemented with additional sources, including bibliographic references from selected articles of interest, to ensure broad and representative coverage of the available evidence. The search criteria included specific keywords: interview, employment, cognitive, biases, and stereotypes.</p>
                <p>We finished the final database search on December 27, 2024, and no re-run searches were completed before our final submission. Working independently, both authors screened the studies and assessed their quality using our established criteria. Because our independent results aligned so closely, we were able to reach a total consensus without any outstanding discrepancies.</p>
            </sec>
            <sec id="sec6">
                <title>Search strategy</title>
                <p>The structured search strategy responds to the questions raised in the investigation.</p>
            </sec>
            <sec id="sec7">
                <title>Identification</title>
                <p>The structured search used to conduct the search of the articles was in 
                    <bold>Scopus:</bold>
                </p>
                <p>The search strategy incorporated the following specific keywords: 
                    <italic toggle="yes">interview</italic>, 
                    <italic toggle="yes">employment</italic>, 
                    <italic toggle="yes">cognitive</italic>, 
                    <italic toggle="yes">biases</italic>, and 
                    <italic toggle="yes">stereotypes.</italic> These terms were selected for their direct relevance to the research objective and were combined using Boolean operators (e.g., AND, OR) to optimize the retrieval of pertinent literature.</p>
                <disp-quote>
                    <p>TITLE-ABS-KEY (interview) AND TITLE-ABS-KEY (employment) AND TITLE-ABS-KEY (cognitive) AND TITLE-ABS-KEY (biases) OR TITLE-ABS-KEY (stereotypes)) AND PUBYEAR &gt; 2015 AND PUBYEAR &lt; 2025 AND ( LIMIT-TO (DOCTYPE, &#x201c;ar&#x201d;)) AND ( LIMIT-TO ( SUBJAREA, &#x201c;PSYC&#x201d;) OR LIMIT-TO ( SUBJAREA, &#x201c;SOCI&#x201d;) OR LIMIT-TO (SUBJAREA, &#x201c;ECON&#x201d;) OR LIMIT-TO (SUBJAREA, &#x201c;BUSI&#x201d;)) AND (LIMIT-TO (LANGUAGE, &#x201c;English&#x201d;))</p>
                </disp-quote>
                <p>The structured search used to realize the search of the articles was in 
                    <bold>Web of Science (WoS):</bold>
                </p>
                <p>Interview (Topic) and employment (Topic) and cognitive biases (Topic) or stereotypes (Topic) and 2024 or 2023 or 2022 or 2021 or 2020 or 2019 or 2018 or 2017 or 2016 or 2015 (Publication Years) and Article (Document Types) and English (Languages).</p>
                <p>To develop this systematic review, an exhaustive search was conducted in major scientific databases, including Web of Science and Scopus, to identify relevant and current studies on the topic. The search criteria included specific keywords within a specified time range of years, articles in the English language, and peer-reviewed publications. In addition, the search was supplemented with further sources, including bibliographic references from selected articles of interest, to ensure broad and representative coverage of the available evidence, which enabled us to identify 20 additional studies. The inclusion of other articles was particularly relevant to our study, as the researchers sought a more comprehensive view of the factors selected for this review. Another reason for including additional articles in the search was to capture studies that are not always covered or indexed by traditional databases.</p>
                <p>
                    <xref ref-type="table" rid="T1">
Table 1</xref> lists the number of records identified in each case.</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>
Table 1. </label>
                    <caption>
                        <title>Records obtained.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Criteria</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Filters</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Scopus</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">WoS</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Supplementary articles</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Restriction</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Topic (title, abstract, author keywords)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.201</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">515</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Period</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2015-2025</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">55.423</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">292</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Subject area</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Economics, Business, Psychology, and Social Issues.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.049</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Document type</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Articles, books, chapters, and conference proceedings</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">39.651</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Language</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">English</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.215</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Interest</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Most Cited (only WoS)</td>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">183</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Total</td>
                                <td align="left" colspan="4" rowspan="1" valign="top">217</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Note: Summary of records obtained after applying inclusion criteria and database-specific filters in Scopus, Web of Science, and supplementary sources.</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec8">
                <title>Data management</title>
                <p>The software used to manage the data and analyze the information in articles was Mendeley and Microsoft Excel. The researchers used Mendeley to manage the articles resulting from the search in the scientific databases, eliminate duplicate references, and classify the information from each article, underlining it with a different color according to the category.</p>
                <p>On the other hand, EXCEL was used to document and manage data resulting from following the PRISMA protocol. The workbook is made up of several tabs, where each phase is documented.</p>
            </sec>
            <sec id="sec9">
                <title>Selection process</title>
                <p>This subsection is composed of screening (inclusion/exclusion criteria), eligibility (inclusion/exclusion criteria), inclusion (Quality Assessment Criteria), and Review and Mapping Protocol.</p>
                <p>

                    <bold>Screening</bold>: Duplicate references will be eliminated using the Mendeley software. After eliminating duplicates, we performed an initial screening based on title, keywords, and abstract to eliminate irrelevant studies. 122 records were selected, and 72 were excluded in this section.</p>
                <p>

                    <bold>Eligibility</bold>: First, we included articles whose title contained the phrase &#x201c;factors that compromise interview selection&#x201d; (coded as 1 if present, 0 if absent). Second, we included articles whose abstract contained the phrase &#x201c;biases in job interview selection&#x201d; (also coded as 1/0). Third, we examined the full text to determine whether it addressed both the technical dimensions of the interview and the personal dimensions of the interviewers.</p>
                <p>When the title and abstract alone did not provide enough information, we reviewed the entire content of the paper. To operationalize this decision, we applied the following logical function:</p>
                <disp-quote>
                    <p>IF (AND (TITLE=1; ABSTRACT=1; COUNT.IF (ABSTRACT: ABSTRACT;1) &#x2265; 1), then &#x201c;candidate article&#x201d;, otherwise &#x201c;no&#x201d;.</p>
                </disp-quote>
                <p>In other words, we considered an article a candidate if the specified keywords appeared in both the title and abstract, and if the abstract contained at least one occurrence of relevant content. 
                    <xref ref-type="table" rid="T2">
Table 2</xref> presents the detailed application of this logic.</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>
Table 2. </label>
                    <caption>
                        <title>Number of selected papers.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Criteria</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Papers</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Articles Elected</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">122</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Excluded articles</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">72</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Note: Number of papers selected according to the applied criteria, showing elected and excluded articles.</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>

                    <bold>Inclusion</bold>: To minimize study bias and maximize internal and external validity, the authors utilized the following categories.</p>
                <p>

                    <bold>Study design:</bold> Articles that demonstrate the relation between interview biases and interview format and type.
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Have all research questions been addressed adequately?</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Articles that address both the technical dimensions of the employment interview and the personal dimensions of the interviewers within the selection process.</p>
                        </list-item>
                    </list>
                </p>
                <p>

                    <bold>System design:</bold> Articles that show the technical dimension of the interview, and personal dimension of the interviewers in an employment interview selection process.
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Is a structured interview selection format more accurate than an unstructured interview format?</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>What interview characteristics surface, and should be present to avoid an incorrect interview decision?</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>What type of interview biases are more salient during an interview, and does it make a difference in the type and format of interview methodology used?</p>
                        </list-item>
                    </list>
                </p>
                <p>

                    <italic toggle="yes">Quality assessment checklist.</italic> 
                    <xref ref-type="table" rid="T3">
Table 3</xref> Quality assessment score assigned to each question according to the information details provided regarding the topic of interview selection, biases, interview personal dimension, and interview technical dimension.</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>
Table 3. </label>
                    <caption>
                        <title>Quality assessment checklist.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Level</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Description</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Score</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Information is explicitly defined/evaluated</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Partially</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Information is implicit/stated</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0,5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Information is not inferable</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Note: Assessment checklist indicating the criteria used to classify information as explicitly defined, implicit, or not inferable.</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>We included papers and classified them as &#x201c;full-reading articles&#x201d; in the subsequent stages if their total score was equal to or greater than four points. 
                    <xref ref-type="table" rid="T4">
Table 4</xref> presents the results.</p>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>
Table 4. </label>
                    <caption>
                        <title>Full reading papers included.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Criteria</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Papers</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Full reading papers</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Excluded articles</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Note: Number of papers included after full-text reading, indicating selected and excluded articles.</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>

                    <bold>Review and Mapping Protocol</bold>: 
                    <xref ref-type="fig" rid="f1">
Figure 1</xref> presents the PRISMA protocol phases and the evolution of the number of records in each one of them.</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>
Figure 1. </label>
                    <caption>
                        <title>PRISMA protocol.</title>
                        <p>Summary of the PRISMA protocol stages used for the identification, screening, eligibility, and inclusion of articles.</p>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/200512/9ef11697-dc84-48f1-84d4-5b94eb737917_figure1.gif"/>
                </fig>
                <p>The analysis and classification of the articles followed a bottom-up approach, carried out in three stages.
                    <list list-type="order">
                        <list-item>
                            <label>1.</label>
                            <p>Analysis: We highlighted text fragments that answered the questions in the Objective Section using different colors in Mendeley. This step supported detailed reading, deeper analysis, and classification.</p>
                        </list-item>
                        <list-item>
                            <label>2.</label>
                            <p>Classification: We defined label codes to assign representative meaning to the highlighted information.</p>
                        </list-item>
                        <list-item>
                            <label>3.</label>
                            <p>Extraction: We classified each text fragment highlighted in stage 1 according to the codes from stage 2. To manage the resulting information, we organized the data in a spreadsheet.</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec10">
                <title>Data items</title>
                <p>As part of the data extraction and synthesis process, 
                    <xref ref-type="fig" rid="f2">
Figure 2</xref> provides the acronyms employed to categorize the information.</p>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>
Figure 2. </label>
                    <caption>
                        <title>Acronyms to classify information.</title>
                        <p>Acronyms identified in the review and used to categorize the data, along with their corresponding frequencies.</p>
                    </caption>
                    <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/200512/9ef11697-dc84-48f1-84d4-5b94eb737917_figure2.gif"/>
                </fig>
                <p>To complement these results, 
                    <xref ref-type="table" rid="T5">
Table 5</xref> outlines the codes associated with each research question, along with the studies in which these codes were identified.</p>
                <table-wrap id="T5" orientation="portrait" position="float">
                    <label>
Table 5. </label>
                    <caption>
                        <title>Codes considered for each of the research questions.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Source</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Data items: Acronyms to classify information</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Adeoye-Olatunde, O. A., &amp; Olenik, N. L. (2021).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Semi-Structured Interviews (SSTI), Video Recording (VR), Interviewer Training (IT)
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Blackman, M. (2017).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Interview Selection (IS), RAM Model (RAMM)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Bergelson, I., Tracy, C., &amp; Takacs, E. (2022).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Halo Bias (HLB), /Horn Bias (HRB), Affinity Bias (AB), Confirmation Bias (CFTB), Confirmatory biases (CTYB), First Impression (FI), Interview Selection (IS), Blinded Interviews (BI), Interview Stereotypes (IST), Interviewer Training (IT)
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Buijsrogge, A., Duyck, W., &amp; Derous, E. (2021).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">First Impressions (FI), Implicit Bias (IB), Physical Appearance (PA), Rapport (RAP)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Dipboye, R. L. (2017).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Fairness (FNSS), Dual Process Approach (DPA), Prejudice: Physical Appearance (PA), Confirmatory Bias (CB), Structured Interviews (STI), Interviewer Rating Scores (IRS)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Florea et al. (2019).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">First Impressions (FI), Interview Panel Type (IPT), Confirmation Bias (CB)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Frieder, R. E., Van Iddekinge, C. H., &amp; Raymark, P. H. (2016).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Rapport (RAP), Cognitive Load Theory (CLT), Interviewer Rating Scores (IRS), Interview Structure Standarization (ISS), Interviewer Training (IT)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Hickman, L., Tay, L., &amp; Woo, S. E. (2024).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Automated Video Interviews (AVI)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Jager et al. (2020).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Recall Bias (RB) Interviewer Bias (INTB)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Kausel, E. E., Culbertson, S. S., &amp; Madrid, H. P. (2016).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Relational Demographic Theory (RDT), Overconfidence Bias (OCB)
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Li, Y., &amp; Wei, X. (2024).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Stigma Stereotypes (SS), Employment Bias (EB), First Impressions (FI), Interview Format (IF): Face-to-face</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Morris, S. B., Daisley, R. L., Wheeler, M., &amp; Boyer, P. (2015).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Structured Interviews (STI), Interviewer Training (IT), Interview Selection (IS), Single Interviewer (SI), Interview Panel Type (IPT), Validity and Reliability (V&amp;R)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">N&#x00f8;rskov et al. (2022).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">First Impressions (FI), Implicit Bias (IB), Structured Interviews (STI), Interview Panel (IP), Fairness (FNSS), Automated Video Interviews (AVI)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Otugo O, et al. (2021)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Implicit Bias (IB), Explicit Bias (EB), Virtual Interview Type (VIT)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Taherdoost, H. (2022).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Structured Interviews (STI),Non-Structured Interviews (NSTI), Interviewer Characteristics (IC), Interviewer Training (IT)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Vanderpal, G., &amp; Brazie, R. (2022).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Interview Selection (IS), RAM Model (RAMM)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Wiersma, U. J. (2016, December).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">First Impressions (FI), Mental Bias (MB), Halo Bias (HLB), Structured Interviews (STI), Non-Structured Interviews (NSTI)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Wingate, T. G., Rasheed, S., Risavy, S. D., &amp; Robie, C. (2024).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Fairness (FNSS), Prejudice: Physical Appearance (PA), Salience Bias (SB), Rapport (RAP), Interviewer Training (IT), Interview Expectations (IE), Automated Video Interviews (AVI)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Woods et al. (2020).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">First Impressions (FI), Video Interviews (VI), Interviewee Selection Expectation (ISE)</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Note: Codes considered for each research question, indicating the data source and acronyms used to classify information.</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec11">
                <title>Interpretation of findings</title>
                <p>This section addresses the research and mapped sub-questions following the completion of the information analysis process. Definitions of biases that are stated in the literature and are applied to the factors that can compromise an employment interview selection process are shown in 
                    <xref ref-type="table" rid="T6">
Table 6</xref>.</p>
                <table-wrap id="T6" orientation="portrait" position="float">
                    <label>
Table 6. </label>
                    <caption>
                        <title>Definitions related to interview biases.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Paper</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Biases or interview</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">[N&#x00f8;rskov et al., 2022]</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Implicit bias (IB)</bold> involves the unconscious, rapid, and automatic processing of information and can be in direct contradiction to consciously held values and beliefs of individuals.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">[Bergelson et al., 2022]</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Halo bias (HLB)</bold>: Taking someone&#x2019;s positive characteristic and ignoring any other information that may contradict this positive perception. 
                                    <bold>Horn bias (HRB)</bold>: Taking someone&#x2019;s negative characteristic and ignoring any other information that may contradict this negative perception. 
                                    <bold>Affinity bias (AB)</bold>: Increased affinity with those who have shared experiences, such as hometown or education. 
                                    <bold>Conformity bias (CTYB)</bold> occurs when the view of the majority can push one individual to also feel similarly about a candidate, regardless of whether this reflects their true feelings; it can occur when there are multiple interviewers on one panel.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">[Florea et al., 2022]</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Confirmation bias (CFTB)</bold>, a phenomenon in which people seek out and overcome information consistent with their current beliefs.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">[Kausel et al., 2016]</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Overconfidence bias (OCB)</bold> is operationally defined as the subtraction of objective accuracy from subjective confidence. Defined as an unwarranted belief in the correctness of one&#x2019;s answers.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">[Florea et al., 2022]</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>First impression bias (FIB)</bold> causes a decision maker, assessing the outcomes of some process, to place undue weight on early experiences that contribute to an initial impression.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">[Jager et al., 2020]</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Selection bias (SB)</bold> implies that the relationship between exposure and outcome may differ in those who participate in the interview and those who do not. 
                                    <bold>Recall bias (RB)</bold> is caused by differences in accuracy or completeness of recall to memory of past events or experiences. 
                                    <bold>Interviewer bias (IB)</bold> has been defined as the systematic error due to interviewer&#x2019;s (sub) conscious gathering of selective data, or their influencing of subject response.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">[Li &amp; Wei, 2024]</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Employment bias (EB)</bold> refers to the unfair disadvantages or negative judgments faced by individuals who do not adhere to traditional gender expectations during employment decisions.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">[Woods et al., 2020]</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Explicit biases</bold> are conscious beliefs, attitudes, or prejudices that individuals are aware of and can deliberately report.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">[Wingate et al., 2024]</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Salience bias (SLB)</bold> denotes that such information tends to be &#x201c;overprocessed&#x201d; and weighted more strongly than information that evokes less attention.</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Note: List of papers analyzed in relation to interview biases, indicating the type of bias identified.</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec12">
                <title>The most widespread types of biases exhibited by interviewers during the interview selection process</title>
                <p>This conceptual network illustrates the interrelationships between various concepts within the field of interviews, biases, perceptions, and human interactions, as described in the articles reviewed in the literature. The network of relationships between concepts or dimensions analyzed, as presented in various articles, illustrates how they are interconnected. Each vertex in 
                    <xref ref-type="fig" rid="f1">
Figure 1</xref> represents a full name, and each edge (the line connecting two nodes) indicates a relationship between them that coexists in the same articles found in the SR.</p>
                <p>The nodes correspond to the full range of evaluated dimensions, such as First Impressions, Rapport, Fairness (FNSS), and Physical Appearance. The research identifies and discusses these dimensions as key concepts that appear throughout the analyzed articles.</p>
                <p>Edges are lines that connect two nodes and indicate the relationship between the analyzed dimensions. If two dimensions share an edge, it indicates that both coexist or relate to each other within the same article. For example, &#x201c;First Impressions&#x201d; (FI) has multiple connections with other dimensions such as &#x201c;Rapport&#x201d; (RAP), &#x201c;Physical Appearance&#x201d; (PA), and &#x201c;Confirmatory Bias&#x201d; (CB).</p>
                <p>The connections indicate that some dimensions are more closely connected (have more edges), suggesting that they are mentioned together in more articles or are more closely related. Central to our understanding of the topics explored in these articles is the concept of first impressions (FI), which exhibits widespread interconnectedness and demonstrates its significant relevance across multiple research dimensions.</p>
                <p>Dimensions such as the Halo Effect (HE), Overconfidence Bias (OCB), and Similarity Bias (SB) demonstrate reduced interconnectedness compared to other dimensions.</p>
                <p>Regarding centrality, &#x201c;First Impressions&#x201d; (FI) is the most central dimension in the network, meaning it is likely the most recurrent concept in the articles, as it is connected to many other dimensions, demonstrating how the most connected dimensions (such as &#x201c;FI&#x201d;) tend to be closer to the center of the graph. This reflects the density of connections this dimension has with other dimensions.</p>
                <p>In contrast, other dimensions, such as Mental Bias (MB) and the Diversity-Validity Dilemma (DVD), hold a more peripheral position, reflecting their less recurrent or relevant nature compared to First Impressions.</p>
                <p>The most detached dimensions (less connected, such as the &#x201c;Diversity-Validity Dilemma&#x201d;) are located further from the center, reflecting their lower relevance or frequency in the articles.</p>
                <p>The main findings in 
                    <xref ref-type="fig" rid="f3">
Figure 3</xref> show that:</p>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>
Figure 3. </label>
                    <caption>
                        <title>Key concepts interrelate to first impressions.</title>
                        <p>Key concepts interrelate to first impressions across the reviewed literature.</p>
                    </caption>
                    <graphic id="gr3" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/200512/9ef11697-dc84-48f1-84d4-5b94eb737917_figure3.gif"/>
                </fig>
                <disp-quote>
                    <p>&#x201c;First Impressions&#x201d; (FI) is the most frequently mentioned acronym and has the highest number of connections, which suggests that it is a central concept in the reviewed articles.</p>
                </disp-quote>
                <p>Other dimensions, such as including &#x201c;Rapport&#x201d; (RAP), &#x201c;Confirmatory Bias&#x201d; (CB), and &#x201c;Physical Appearance&#x201d; (PA), are also frequently mentioned in the articles, albeit to a lesser extent than &#x201c;FI.&#x201d; &#x201c;Mental Bias&#x201d; (MB) and &#x201c;Diversity-Validity Dilemma&#x201d; (DVD), among others, have fewer connections, implying that they are less frequent or relevant compared to the more central acronyms.</p>
            </sec>
        </sec>
        <sec id="sec13" sec-type="results">
            <title>Results</title>
            <p>This SR aims to determine which factors can compromise the validity and reliability of a job selection interview, from understanding the different types and formats of interviews to the impact of interviewer biases, the selection process, and the interview expectations.</p>
            <p>To this end, for the proposed SR, we translated our research goal into the following main research questions (RQs). The review will address two dimensions: a technical dimension (interview) in which interview types and formats will be discussed, and a personal dimension (interviewer) in which several of the most widespread biases and outcomes will be addressed.</p>
            <p>Our first research question (RQ) focuses on the personal dimension by exploring how interviewer biases shape decision-making and influence selection outcomes.</p>
            <disp-quote>
                <p>RQ1. To what extent do bias mitigation strategies (e.g., structured rubrics, interviewer training, building rapport, anonymized evaluations) improve the reliability and validity of selection decisions compared to traditional interview practices?</p>
            </disp-quote>
            <p>To deepen this inquiry, we have structured the following sub-questions.</p>
            <p>1.1. What are the most widespread types of biases exhibited by interviewers during an interview selection process?</p>
            <p>There are multiple methods for assessing personnel selection efficiency, including cognitive tests, personality assessments, and the interview format.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> Although employment interviews remain a central component of selection processes, they often lack objectivity due to implicit biases rooted in rapid, unconscious processing, making them difficult to detect and correct.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> It does not take long to introduce a bias after meeting someone. Empirical evidence showed that as minimal an exposure time as a tenth of a second is sufficient for people to infer a specific trait from facial appearance.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup> Interviewers can develop biases against applicants from several sources, including resumes, social media, feedback from current or former leaders (for internal candidates), and the common habit of reviewing applicant materials just before the interview.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup>
            </p>
            <p>The related studies suggest that most interviewers exhibit elements of implicit bias. However, it is not the only bias discussed in the literature. The definition of implicit, which has been closely researched by cognitive psychologists, relates to the idea that implicit memory is an unconscious form of memory. &#x201c;Implicit biases involve the unconscious, rapid, and automatic processing of information and can be in direct contradiction to consciously held values and beliefs of individuals&#x201d;.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> When this implicit behavior appears in the interview selection process, the particularly damaging content of stereotypes can hinder the accuracy of a decision. While reducing bias in interviews is never easy, interviewers can minimize bias by applying an objective selection approach. Research findings indicate that both explicit and implicit biases exist at multiple points throughout the interview process.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> Moreover, these biases are harmful and inherently unfair. Literature on implicit bias supports that when individuals are aware of their stereotypes, this proactive mindset can affect their social judgment and behavior. The main distinction between implicit and explicit biases lies in the level of awareness and control.
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> Such bias influences interviewers&#x2019; evaluations, undermines fairness, and often results in negative candidate experiences and reactions. To ensure a fairer hiring process, interviewers must first acknowledge that implicit bias affects their decisions, an issue that continues to create disparities in employment selection.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup>
            </p>
            <p>There are different possible sources of first impression bias. One possible source is confirmation bias, a phenomenon in which people tend to seek and overweight information consistent with their current beliefs.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>,
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> Confirmatory bias is more likely to occur when interviewers are unaware of the bias and can influence behavior without altering information processing or affect information processing without changing behavior.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> Other types of biases mentioned in the SR are defined:</p>
            <disp-quote>
                <p>&#x201c;Selection bias implies that the relationship between exposure and outcome may differ between participants in the study and those who do not participate. Because researchers typically do not know this relationship in non-participants, they can usually only hypothesize about the potential for selection bias&#x201d;.
                    <sup>
                        <xref ref-type="bibr" rid="ref20">20</xref>
                    </sup>
                </p>
            </disp-quote>
            <p>Interviewers introduce interviewer bias when they (sub) consciously gather selective data or influence the subject&#x2019;s responses. &#x201c;Differences in the accuracy or completeness of recalling past events or experiences cause recall bias&#x201d;.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> Being overly confident can lead to risky decisions and have numerous consequences for the outcomes of those decisions. Research reveals a notable gap in understanding how interviewers process candidate information and perform when making selection decisions, with overconfidence, &#x201c;an unwarranted belief in the correctness of one&#x2019;s answers&#x201d;,
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> emerging as a key factor linked to this issue.</p>
            <p>1.2. How does Interview training impact the reduction of interviewer&#x2019;s first impression bias?</p>
            <p>First impressions remain a talking point when forming biases during a job interview.
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> The systematic review has shown that generally, knowledge received first tends to outweigh data received later. First, impressions have a lasting impact on perceptions and future behavior, and they are a significant factor in employment selection. This behavior, if accepted, can diminish a sound decision and cloud the accuracy of a candidate&#x2019;s selection. Furthermore, reviewing or getting familiar with information about applicants before the interview can lead interviewers to form their initial impressions of the applicants.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> An initial impression bias occurs when decision-makers place disproportionate emphasis on initial experiences or early information when forming judgments about a process or individual. An explicit form of first impression bias is confirmation bias. Individuals look for information that is relatively steady with their current credence.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup>
            </p>
            <p>The potential for first impressions to color an interviewer&#x2019;s judgment is a key consideration in the hiring process.
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> The purpose of an interview is to gather comprehensive details without prejudice, and this objective is missed, interviewers may selectively gather or interpret information, leading to biased decisions.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> When the initial impression is highly positive, subsequent evaluations often become excessively optimistic; conversely, a negative first impression can lead to overly critical assessments.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup>
            </p>
            <p>Training materials are valuable, yet another inconsistency lies in the interviewer&#x2019;s experience, training, and familiarity with the interview guidelines. While the truth is that some interviewers can interview better than others, or as Wingate et al.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> explain, while training may lead to bias, some interviewers are more susceptible to bias because of the training that they have received, their experience, or the capacity to remain focused on the accuracy of the selection process. There is a debate between asking questions that could lead the interviewer into trouble and knowing when to use probing questions to add value.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> An interviewer with training who can ask insightful questions, gather, interpret, and evaluate complex cues, understand job competencies, and remain focused on accuracy and fairness, playing a significant role in the selection and validity of the interview process.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> An array of interviewer factors should be considered: experience, training, and efficacy. A skilled interviewer who can ask, collect, interpret, and evaluate complex cues, predict, understand job competencies, and remain focused on the accuracy and fairness of the interview selection and applicant merits is a defining feature in accurate decision-making.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup>
            </p>
            <p>Research in interview training suggests that interviewers with more preparation ask more questions, which can prolong the interview while encouraging them to engage and behave differently than those with less training.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> Frieder et al. suggested limiting the number of candidates per interviewer to a narrow range of around four. Specifically, decision time increased as interviewers progressed through the first few applicants However, after about four applicants, they explained that decision time reached an asymptote and decreased as interviewers evaluated additional applicants based on cognitive load theory; according to their understanding of this theory, people have an unlimited capacity for long-term memory but a relatively limited capacity for working memory, which may hinder the efficiency at gathering and processing information, leading to a less comprehensive evaluation.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup>
            </p>
            <p>Interviewer&#x2019;s training and preparation are positive strategies that yield benefits in both structured and unstructured interviews.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> While training offers an alternative approach to recognizing and addressing implicit bias in the interviewer, one downside is that it has a short-term effect on eliminating completely unfairness.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> Another point is the relevance of training interviewers in self-awareness and self-regulation (key areas in emotional intelligence), which may upgrade the selection process. Interviewers&#x2019; accountability is an additional justification for fairness in the selection process. One last reference is for interviewers with less experience to review other interviews before the next one. Despite applying training to avoid biases during the interview process, interviewers often find ways to judge others. While training may not eliminate biases, it can create awareness and provide opportunities for additional resources, such as educational videos, role-play, and self-assessments, thereby preventing scenarios of premature and unfair judgments.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup>
            </p>
            <p>1.3. To what extent does the use of standardized scoring systems and feedback mechanisms among interviewers</p>
            <p>Interviewers should benchmark what the role entails in long-term performance.
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup> Nevertheless, interviewers go into interviews without understanding what they will measure or look for. There is a heated conversation about the validity, consistency, standardization, and reliability of interviewers&#x2019; ratings of interview answers, as well as the consistency behind them. The lack of standardization creates room for illicit and inappropriate questions; furthermore, standardized questions are selected and asked to all applicants without bias.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> The reliability and validity of the interview process depend on several critical factors, one of which is the interviewer&#x2019;s ratings. Research on interview selection reveals that these ratings frequently reflect interviewer bias and can be influenced within minutes of the interview&#x2019;s commencement.
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup>
            </p>
            <p>There is an atypical difference between judgment in unstructured interviews versus structured interviews. In the latter, this interview modality provides numerical ratings on several dimensions or questions asked. The interviewee&#x2019;s answers are &#x201c;scored&#x201d; utilizing anchored scales and a rubric by the interviewer&#x2019;s ratings across the separate dimensions or competencies. The goal is to follow a standard process and established guidelines, in addition to the rubric system and scoring for each answer, with the mindset of helping interviewers identify the criteria in classifying what constitutes a key to scoring a high or low-performing answer, and to reach a consensus when comparing the applicant pool for a final selection decision. This evaluation process needs to be standard to avoid a snap decision. Interviewers&#x2019; &#x201c;snap&#x201d; decisions have resulted in uniform gaps and implications for all parties involved in the selection process.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> Interviewers&#x2019; ratings and final scores should represent a holistic judgment based on the entire interview process rather than solely on first impressions, judgments, and assumptions, which may result in an inaccurate decision.
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> In reality, interviewers may fail to reach a consensus before they finalize the selection decision. Disagreements can be attributed to differences in competency, interviewing experience, training, ideologies, or how evaluators organize and interpret the same information. When different interviewers evaluate candidates, these idiosyncrasies introduce variability to the ratings that are unrelated to the assessed competencies, thereby reducing their validity.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup>
            </p>
            <p>When a selection procedure adopts a neutral stance, for example, by focusing on assessing all applicable facts, it improves fairness perceptions related to that situation.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> Additionally, it may lead to a greater focus on objective criteria and knowledge about candidates, resulting in fairer selection decisions. Collaboration among interviewers is essential when the selected interview format involves a panel or multiple interviewers participating in the interview process. It is crucial to have a valid process for integrating, interpreting, and analyzing the interview content to ensure the process&#x2019;s validity. Seeking feedback is another crucial factor regarding the accuracy of the information collected, and the overall impression of the interview process among the interviewers is where the value, validity, and reliability of the decision lies.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
            </p>
            <p>Accordingly, the second research question focuses on the technical dimension by analyzing how various interview types and formats shape the structure and effectiveness of the selection process.</p>
            <disp-quote>
                <p>RQ2. How do organizations integrate essential components to enhance the effectiveness of different interview modalities? Such as feedback, building rapport with applicants, to collaboration among interviewers. This research question has been mapped into the following questions:</p>
            </disp-quote>
            <p>To guide this analysis, the researchers have developed the following sub-questions.</p>
            <p>2.1. Structured interviews improve the predictive validity of hiring decisions compared to unstructured interviews.</p>
            <p>Based on the SR, there is more consensus that a trained interviewer and a structured interview format give the interviewer and the interviewee greater reliability and validity in the interview selection process. In discussions concerning the interviewer&#x2019;s ratings, highly structured interviews involve interviewers asking the same questions in the same order, with no follow-ups or probes allowed.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> Structured interviews offer a variety of benefits: candidates are evaluated against the job for which they are applying, allowing the best candidate to identify the job&#x2019;s key dimensions.
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup> Having a structured interview and interviewer rating calibration may reduce confirmatory bias. However, a higher structural degree offers greater validity to the interview process.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> Structuring the interview can help reduce biases, but it does not eliminate interviewer biases.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup>
            </p>
            <p>Structured interviews offer the opportunity to eradicate and reduce bias to a greater extent than unstructured interviews; furthermore, a structured interview can be perceived as more consistent and fairer.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> This type of interview format or protocol allows the interviewer to order and select the questions asked, which are the same for all applicants.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> However, one limitation mentioned is the lack of elaboration beyond the questions selected for the interview process. In other words, the central issue is not the elaboration itself, but whether it is done similarly for all candidates.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> Another interesting perspective on this modality is that while applicants who engage in self-promotion during an interview may receive higher ratings from interviewers, this effect diminishes when interviewers use a structured interview format.
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup>
            </p>
            <p>2.2. The selected modality (type or format of interviews) compares in terms of validity and reliability.</p>
            <p>Structured and semi-structured interview formats offer benefits by allowing the organization to understand the interview interaction and the essence of making a selection effectively and fairly in distinctive ways.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> Semi-structured interviews offer a unique blend of techniques, combining mixed methods and flexibility while remaining focused on a validated, holistic assessment. Adeoye-Olatunde and Olenik
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> note that a semi-structured interview is better suited when the interviewer seeks a unique perspective from the applicant rather than holding back the entire understanding of the interview&#x2019;s purpose. The distinctiveness of this format lies in the fact that the interviewer still uses predetermined questions but is free to ask additional questions for clarity; nonetheless, it also requires expertise from the interviewer.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup>
            </p>
            <p>Regarding the interview type, meaning whether to utilize a single interviewer or a panel of interviewers, the SR associates a panel of interviewers with fairness. A basic premise is that interviewers who demonstrate care and promote applicants&#x2019; well-being and self-esteem foster a more ethical and fair perception of both the interview process and the organization itself.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> Panel interviews are likely to enhance interviewer accountability, which can positively impact the effectiveness of the employment interview.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> A single interviewer can accomplish a face-to-face interview with accuracy when it is only used if the interviewer has a history of accurate judgments.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> Face-to-face interviews offer greater opportunities to understand the applicant, yet ensuring fairness and equity remains essential, as subjectivity can easily introduce decision bias.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup>
            </p>
            <p>2.3. Rapport building plays a key role in enhancing interview outcomes across various interview formats by improving trust, communication, and the overall effectiveness of the interview process.</p>
            <p>One area that remains open for discussion is the level of conversation or rapport-building before starting the formal questions, which can vary significantly. Building rapport can ease any potential tension.
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup> Maintaining the centrality of a pre-interview stage, there is a need for a sense of connection from the interviewer&#x2019;s perspective to the interviewees to ease the conversation before the formality of the interview begins. The practice of rapport would allow the participants to feel attuned to each other, generate an atmosphere of openness, and create a more natural flow of communication.</p>
            <p>While rapport building may be limited in structured interviews, it remains an important element that should not be entirely excluded from the interview process.
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> These researchers recommend incorporating rapport-building procedures instead of eliminating rapport building to avoid the urge to form impressions. On the other hand, experienced interviewers and those who built rapport tended to make quicker decisions.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> The opportunity to build rapport is more prevalent in unstructured interviews because, in structured interviews, interviewers are instructed to stay on course with questions relevant to the job. They caution that when building rapport in unstructured interviews, interviewers should receive training to use the interview structure and stay focused on job-related questions.</p>
            <sec id="sec14">
                <title>Observed risks to validity</title>
                <p>The researchers suggested that a comprehensive systematic review would reveal that factors such as biases, lack of interviewer training, disparity in establishing rapport with applicants, inconsistency in interview ratings, and selecting the most appropriate interview format would adversely impact the validity and reliability of an employment interview selection decision.</p>
                <p>An interview selection should predict several factors before the final decision.
                    <sup>
                        <xref ref-type="bibr" rid="ref14">14</xref>
                    </sup> Throughout the SR, structured interviews possess higher reliability and validity than other interview formats. As previously mentioned, there are several technical dimensions of the interview. Interviewers are increasingly exploring alternative formats in their quest for greater predictive validity and efficiency.
                    <sup>
                        <xref ref-type="bibr" rid="ref24">24</xref>
                    </sup> There are three types of interviews: structured, semi-structured, and unstructured. One crucial argument for greater validity is the consistency of the interview&#x2019;s structure, particularly in terms of question and response evaluation. There are arguments that unstructured interviews offered less criterion validity when compared with estimates on highly structured interviews. By incorporating standard questions and coherent scoring guidelines to evaluate the applicant&#x2019;s responses, the validity and reliability of a structured interview increase compared to an unstructured interview.
                    <sup>
                        <xref ref-type="bibr" rid="ref3">3</xref>
                    </sup> Extending the discussion on interview format selection, Florea et al.
                    <sup>
                        <xref ref-type="bibr" rid="ref15">15</xref>
                    </sup> support the view that semi-structured interviews also offer high validity.</p>
                <p>Other predictors are the selection of a panel of interviewers or a single interviewer. A panel of interviewers will include individuals with diverse traits, personalities, backgrounds, and opinions that can counter or mitigate a one-sided effect on an interview decision.
                    <sup>
                        <xref ref-type="bibr" rid="ref15">15</xref>
                    </sup> While some studies suggest that the length of the interview may generate fatigue on both sides, the interviewer and the applicant, other studies support the notion that the validity and reliability of the interview are not compromised by the first impression and early decision made by the interviewer.
                    <sup>
                        <xref ref-type="bibr" rid="ref21">21</xref>
                    </sup> Suppose the selected type of interview involves employing multiple interviewers for multiple candidates. In that case, the selection of these interviewers and training may augment the validity of the process. It will reduce the induction of single judgments and biases linked with a single interviewer, resulting in a more reliable assessment.
                    <sup>
                        <xref ref-type="bibr" rid="ref14">14</xref>
                    </sup>
                </p>
                <p>Building on the responsibility of accurate and unbiased interviewer ratings, having a consistent scoring system where all applicants are equally assessed, and further understanding how interviewers&#x2019; decisions may vary across applicants or over a slate of interviews may aid the mission to increase reliability and validity.
                    <sup>
                        <xref ref-type="bibr" rid="ref23">23</xref>
                    </sup> This opportunity can arise due to a disagreement between raters and a lack of consistency or inadequate training in the interview selection process. Acting as an interviewer is a significant responsibility, and providing an improper rating of an applicant&#x2019;s response will compromise the validity of the selection. Hickman et al. highlight that one potential source of contamination is that interviewers&#x2019; ratings have a strong influence on hiring managers&#x2019; decisions.
                    <sup>
                        <xref ref-type="bibr" rid="ref24">24</xref>
                    </sup> Scoring for each answer helps the interviewer classify what constitutes a high- or low-performing answer, thereby bridging the gap in selecting the best applicant based on interview performance. They continue to align with the notion that training plays a significant role in minimizing biases and playing a middle ground to avoid a less favorable score for an answer.
                    <sup>
                        <xref ref-type="bibr" rid="ref24">24</xref>
                    </sup> When fairly scoring a response, the validity and reliability of the interview&#x2019;s results are more likely to be compromised.
                    <sup>
                        <xref ref-type="bibr" rid="ref19">19</xref>
                    </sup>
                </p>
                <p>Interviewer training should be an integral part of the selection process, with refresher courses reinforcing the importance of gathering holistic information from each candidate.
                    <sup>
                        <xref ref-type="bibr" rid="ref23">23</xref>
                    </sup> However, a lack of training may prompt the interviewer to employ a different strategy for processing information when dealing with more advanced and complex questions. Training can also inadvertently lead to biases, as interviewers may become more aware of their flaws or biases. Wingate et al.
                    <sup>
                        <xref ref-type="bibr" rid="ref9">9</xref>
                    </sup> found that younger interviewers were slightly more susceptible to bias-related characteristics than their older counterparts, and trained interviewers were more prone to bias than those without formal training.</p>
            </sec>
        </sec>
        <sec id="sec15" sec-type="discussion">
            <title>Discussion</title>
            <p>In employment interview selection, there has been a long-standing interest in what makes a good interview selection decision. Prior studies investigating employment interview selection have examined various effects of biases, the structure of the interview, the mechanics of the relationship between the interviewer and interviewee, and other behaviors related to the accuracy of the selection decision. Therefore, the purpose of the present study was to investigate and provide a comprehensive overview of research in the field of interview selection, presenting a systematic review (SR) that focuses on factors such as interviewer biases and the impact of selecting the appropriate interview modality in the employment interview selection process.</p>
            <p>The reality is that organizations miss out on gaining ground and significant opportunities when they do not offer a candidate an opportunity because, according to the interviewer, they need to meet specific selection criteria.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> The reality is that interviews tend to focus on negative versus positive information to eliminate applicants. As a result, by focusing on the negative, this information becomes more salient. It is likely to be a negatively impactful factor during the selection process.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> Selecting personnel remains a challenge when predicting validity and assessing the impact on the decision process, as the entire interview is not error-free. The dilemma appears when the drumming sound requires a decision. There is an argument that when evidence is required to make a verdict, interviewers often rely on subjective shortcuts, such as inferences and predispositions, to make decisions.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> What happened next was a missed opportunity to extract information to make an accurate decision.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> Although organizations today insist on improving employee selection using a more standardized interview system and have the opportunity to incorporate different types of interviews to minimize human errors, these still exist.</p>
            <p>The findings from the document reveal that biases in employment interviews persist as a significant challenge in the pursuit of fair and effective hiring practices. The interview aims to provide the interviewer and candidate with a reliable, validated, fair, and dynamic experience. Based on the SR, the key to having an effective and successful discussion lies in recognizing bias, preparing for the interview process, and understanding what is at stake (measuring success). Managing the influence of biases during an interview promotes fairness and objectivity. It minimizes the discriminatory, unconscious, and rapid effects that tend to shape an interviewer&#x2019;s judgments within seconds of contact.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> Biases can be persistent and automatic, undermining core principles.
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> Preconceptions can surface from visual cues, such as stereotypes, or through like reviewing materials immediately before interviews.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> Interviewers are encouraged to direct their bias awareness toward recognizing the distinction between what they ought to know and what they actually know.
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> Experience-based questions that draw on past situations tend to yield more valuable insights than those framed around hypothetical circumstances.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
            </p>
            <p>As discussed in the studies on the interview selection process, one key insight is the importance of providing adequate training for interviewers. A well-trained interviewer who applies neutral observational skills, communicates without bias, and maintains a clear focus on job-related competencies can strengthen the validity of the selection process.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> While interview training does not eliminate interviewers&#x2019; bias, workshops and mock interviews are regarded as aids in gaining confidence, experience, and sufficient exposure. These tools thereby minimize the risk of pitfalls, such as asking leading questions, and maximize the best use of the interview process to reach a more accurate selection decision.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> One important area for further investigation is the time elapsed since interviewers&#x2019; last received training and the quality of that training. Research indicates that interviewer experience and training are associated with higher self-efficacy. However, in a study of 1,042 interviews, more than 69% of decisions were made within the first five minutes. This finding underscores that even seasoned interviewers can benefit from periodic refresher training.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> The goal of the training should not be to overlook the applicants&#x2019; characteristics, as doing so would render the selection process incomplete. Furthermore, it will reduce the credibility of the training and introduce ethical challenges.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup>
            </p>
            <p>Regardless of the interview format used for the selection process, selecting the most appropriate one will influence the validity and fairness. Unstructured interviews offer flexibility and provide an opportunity to ask questions outside the interview guide; however, some limitations for interviewers include the time consumed and the potential introduction of biases. This researcher recommends that this format is more accurate and valuable for experienced interviewers.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> Unstructured interviews offer lower criterion validity compared to highly structured formats. They also create challenges, such as inconsistent questioning and the difficulty of comparing candidate strengths fairly, which limits their effectiveness in producing reliable hiring outcomes.
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup> Furthermore, they can create difficulties due to the use of different questions and the inability to match strengths when comparing multiple candidates, among other challenges. The interview, though imperfect, can play a crucial determining factor in improving the validity, consistency, and reliability of interviewer evaluations through the selection process, standardization, and the use of structured interviews accompanied by scoring rubrics and calibration between interviewers, as supported by.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> Another valuable interview format is the semi-structured interview, which is considered ideal when seeking nuanced insights from candidates, as it strikes a balance between flexibility and consistency.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup>
            </p>
            <p>This interview format has been shown to demonstrate a high degree of validity, reinforcing its effectiveness in evaluating candidates.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> However, this format requires a high level of expertise from the interviewer to be applied effectively.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> Whether a single interviewer or a panel of interviewers is involved in the selection process, fact-based criteria, calibration sessions, and feedback mechanisms can improve fairness perceptions, reduce variance unrelated to candidate competence, and help foster alignment among panel members.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>,
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> One potential method is to conduct a job analysis for the position being filled, as this helps outline how well each applicant aligns with the requirements and their likelihood of becoming a successful performer.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> Taking this patch can outline the applicability of each applicant to be a successful performer in the job in question. Panel interviews may further promote fairness by increasing accountability and minimizing individual bias.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> In contrast, a single interviewer model relies heavily on that individual&#x2019;s judgment and experience, potentially magnifying biases unless carefully managed.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup>
            </p>
            <p>&#x201c;Rapport building&#x201d; refers to a brief, casual conversation aimed at easing an applicant&#x2019;s nerves and creating a temporary connection; although subtle, it remains a powerful element in the dynamics of an interview.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> Interviewers often assess interview success based on how well they establish this superficial relationship, which depends on being perceived as both warm and professional, as well as knowledgeable. With this in mind, an interview can influence an applicant&#x2019;s behavior, cognitive thinking, and overall performance. It is not only exchanging an answer for another question but also involves multiple interviewers with different personalities, recalling prior job experiences, and trying to impress the interviewer.
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup> Arguably, it is practical not to overlook the interviewer&#x2019;s experience, skills, and characteristics because, one way or another, they will impact the results. Good listening is a practical skill for interviewers, especially in situations where an applicant&#x2019;s answer reveals a misunderstanding of the question. Interviewers can also ask candidates for feedback, which not only improves future interviews but also enhances the applicant&#x2019;s overall experience.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup>
            </p>
            <p>The idea of driving a positive candidate experience (through fairness and clear expectations), offering valuable training opportunities to interviewers, and ensuring the accuracy of the interview process (in terms of format and modalities) will yield higher validity and reliability, ultimately offering the organization a competitive advantage.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
            </p>
            <sec id="sec16">
                <title>Limitations</title>
                <p>First, the final sample included only 19 studies, which narrows the breadth of the evidence base. Second, the included literature focused on a limited set of topical areas related to employment interviews, interviewer bias, cognitive biases, and stereotypes, and the reviewed studies were geographically concentrated in the United States. Accordingly, the practice implications should be interpreted as evidence-informed but not universally generalizable.</p>
            </sec>
        </sec>
        <sec id="sec17" sec-type="conclusions">
            <title>Conclusions</title>
            <p>This article examined factors that compromise the validity and reliability of an employment interview selection. The objective was to continue expanding the debate and highlighting the opportunities for the interview process to be unbiased, particularly in terms of the interviewers&#x2019; decisions and format, to benefit from this interaction and experience accurately.</p>
            <p>One factor discussed in the SR indicates that choosing the proper interview method is critical to fully understanding the candidate&#x2019;s potential for long-term fitting into the team and company culture. By streamlining the interview process, implementing several of the techniques discussed previously in this document, and clearly understanding the purpose of the interview, personnel involved in interviewing and selecting candidates have the potential to improve the accuracy of their final decisions. Organizations can substantially enhance the effectiveness of their hiring practices by developing a deeper understanding of the interview as a selection tool and strategically applying its potential to improve decision-making and organizational outcomes.
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> Offering the interviewer and the candidate more flexibility in the interview process with fewer constraints can lead to a more desirable outcome and an accurate selection decision. The outcome can become less biased by magnifying and offering a semi-structured interview.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> However, there is still room to investigate these differences between single and panel interviews regarding validity.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup>
            </p>
            <p>The literature on selection has shown that a broad spectrum of influential factors remains embedded in the interview selection process. The interview remains an interaction, a social method for evaluating applicants, where a trade of data, words, and emotions occurs between the interviewer and the applicant. Moreover, some impressions and similarities can influence a positive selection and carry more weight than other applicable qualifications and cognitive proficiencies.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> Given the complex and multifaceted nature of what constitutes a structured employment interview and the potential for interviewer bias, the researchers argue that a review of the literature is necessary to generate a comprehensive understanding of what is known, what has been learned, and what has changed to add value to the topic of employment interview selection processes. Another alternative to the standard approach involves introducing variations into the existing interview process, specifically by measuring the efficiency, value, and opportunities that ideally emerge during each interview.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> Research is needed to identify the key components of the interview structure and determine which ones are most important. There are significant differences between unstructured and structured interviews, including the selection of questions, the level of free and natural flow, and the absence of a rubric system.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup>
            </p>
            <p>Several evidence-based strategies can mitigate bias in hiring and offer several practical ways to strengthen the interview process. It is not common for interviews to be recorded. Note-taking remains the primary method for documenting the interview process. For example, recording or documenting sessions can provide a more objective basis for review than memory alone.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> It is recommended for accurate purposes and to avoid biases, such as confirmation bias. As an alternative solution, reconsider recording the interview rather than relying solely on note-taking.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> Transcribed recorded interviews can help determine several previously unseen characteristics of the applicant, such as language use and the time between responses. These researchers discourage the use of mixed modalities during interviews because the data may introduce variation when analyzed. Interestingly, rigor and credibility are key factors in every interview process.
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> Implementing structured scoring rubrics and group calibration is essential for ensuring that assessments remain valid across different candidates.
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup> Furthermore, interviewers should consider providing equal time for all applicants to think before answering questions.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> Some interviewers tend to form judgments so rapidly,
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> remind us that refresher training will help interviewers avoid jumping to early conclusions. Fairness and accuracy are two of the highest grades in the selection process.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> Taken together, these findings underscore the need for further research to identify and mitigate biases, ultimately strengthening the interview as a reliable, fair, and effective tool in hiring. This review seeks to spark interest among researchers in addressing these critical issues surrounding employment interview practices.</p>
        </sec>
    </body>
    <back>
        <sec id="sec20" sec-type="data-availability">
            <title>Data availability</title>
            <p>The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 2021;372:n71. doi: 10.1136/bmj.n71. The completed PRISMA 2020 checklist and flowchart supporting the findings of this review are available in Zenodo at: 

                <bold>10.5281/zenodo.17195256,
</bold>
                <sup>
                    <xref ref-type="bibr" rid="ref27">27</xref>
                </sup> under the Creative Commons Attribution 4.0 International license. The repository record is titled PRISMA 2020 Checklist and Flow Diagram for [
                <bold>The Interview Trap: A Systematic Review on Factors Affecting the Validity of Employment Interviews]</bold>. All datasets generated and analyzed during this study are available upon request and are freely available under certain conditions. Furthermore, we do not permit commercial exploitation (
                <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc/4.0/">https://creativecommons.org/licenses/by-nc/4.0/</ext-link>). Data is requested by request to 
                <email xlink:href="mailto:ited@unir.net">ited@unir.net</email>
            </p>
            <sec id="sec18">
                <title>Reporting guidelines</title>
                <p>Repository: PRISMA checklist and flow chart for &#x2018;
                    <bold>The Interview Trap: A systematic review on factors affecting the validity of Employment Interviews</bold>&#x2019;. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.17195256">https://doi.org/10.5281/zenodo.17195256</ext-link>.
                    <sup>
                        <xref ref-type="bibr" rid="ref27">27</xref>
                    </sup>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
            </sec>
        </sec>
        <ref-list>
            <title>References</title>
            <ref id="ref1">
                <label>1</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Adeoye-Olatunde</surname>
                            <given-names>OA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Olenik</surname>
                            <given-names>NL</given-names>
                        </name>
</person-group>:
                    <article-title>Research and scholarly methods: Semi-structured interviews.</article-title>
                    <source>

                        <italic toggle="yes">Journal of the American College of Clinical Pharmacy.</italic>
</source>
                    <year>2021</year>;<volume>4</volume>(<issue>10</issue>):<fpage>1358</fpage>&#x2013;<lpage>1367</lpage>.
                    <pub-id pub-id-type="doi">10.1002/jac5.1441</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref2">
                <label>2</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Buijsrogge</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Derous</surname>
                            <given-names>E</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Duyck</surname>
                            <given-names>W</given-names>
                        </name>
</person-group>:
                    <article-title>Often biased but rarely in doubt: How initial reactions to stigmatized applicants affect interviewer confidence.</article-title>
                    <source>

                        <italic toggle="yes">Hum. Perform.</italic>
</source>
                    <year>2016</year>;<volume>29</volume>(<issue>4</issue>):<fpage>275</fpage>&#x2013;<lpage>290</lpage>.
                    <pub-id pub-id-type="doi">10.1080/08959285.2016.1165225</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref3">
                <label>3</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Kausel</surname>
                            <given-names>EE</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Culbertson</surname>
                            <given-names>SS</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Madrid</surname>
                            <given-names>HP</given-names>
                        </name>
</person-group>:
                    <article-title>Overconfidence in personnel selection: When and why unstructured interview information can hurt hiring decisions.</article-title>
                    <source>

                        <italic toggle="yes">Organ. Behav. Hum. Decis. Process.</italic>
</source>
                    <year>2016</year>;<volume>137</volume>:<fpage>27</fpage>&#x2013;<lpage>44</lpage>.
                    <pub-id pub-id-type="doi">10.1016/j.obhdp.2016.07.005</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref4">
                <label>4</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Taherdoost</surname>
                            <given-names>H</given-names>
                        </name>
</person-group>:
                    <article-title>How to conduct an effective interview; a guide to interview design in research study.</article-title>
                    <source>

                        <italic toggle="yes">International Journal of Academic Research in Management.</italic>
</source>
                    <year>2022</year>;<volume>11</volume>(<issue>1</issue>):<fpage>39</fpage>&#x2013;<lpage>51</lpage>.</mixed-citation>
            </ref>
            <ref id="ref5">
                <label>5</label>
                <mixed-citation publication-type="other">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Dipboye</surname>
                            <given-names>RL</given-names>
                        </name>
</person-group>:
                    <chapter-title>The selection/recruitment interview: Core processes and contexts.</chapter-title>
                    <source>

                        <italic toggle="yes">The Blackwell handbook of personnel selection.</italic>
</source>
                    <year>2008</year>;<fpage>119</fpage>&#x2013;<lpage>142</lpage>.
                    <pub-id pub-id-type="doi">10.1002/9781405164221.ch6</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref6">
                <label>6</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>N&#x00f8;rskov</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Damholdt</surname>
                            <given-names>MF</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ulh&#x00f8;i</surname>
                            <given-names>JP</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Employers&#x2019; and applicants&#x2019; fairness perceptions in job interviews: using a teleoperated robot as a fair proxy.</article-title>
                    <source>

                        <italic toggle="yes">Technol. Forecast. Soc. Chang.</italic>
</source>
                    <year>2022</year>;<volume>179</volume>:<fpage>121641</fpage>.
                    <pub-id pub-id-type="doi">10.1016/j.techfore.2022.121641</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref7">
                <label>7</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Vanderpal</surname>
                            <given-names>G</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Brazie</surname>
                            <given-names>R</given-names>
                        </name>
</person-group>:
                    <article-title>The impact of underlying stress and trauma on HRM recruitment and selection bias in employee interviews.</article-title>
                    <source>

                        <italic toggle="yes">J. Leadersh. Account. Ethics.</italic>
</source>
                    <year>2022</year>;<volume>19</volume>(<issue>2</issue>):<fpage>89</fpage>.
                    <pub-id pub-id-type="doi">10.33423/jlae.v19i2.5111</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref8">
                <label>8</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Kleinmann</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Klehe</surname>
                            <given-names>UC</given-names>
                        </name>
</person-group>:
                    <article-title>Selling oneself: Construct and criterion-related validity of impression management in structured interviews.</article-title>
                    <source>

                        <italic toggle="yes">Hum. Perform.</italic>
</source>
                    <year>2010</year>;<volume>24</volume>(<issue>1</issue>):<fpage>29</fpage>&#x2013;<lpage>46</lpage>.
                    <pub-id pub-id-type="doi">10.1080/08959285.2010.530634</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref9">
                <label>9</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Wingate</surname>
                            <given-names>TG</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Rasheed</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Risavy</surname>
                            <given-names>SD</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>How does bias enter the employment interview? Identifying the riskiest applicant characteristics, interviewer characteristics, and sources of potentially biasing information.</article-title>
                    <source>

                        <italic toggle="yes">Int. J. Sel. Assess.</italic>
</source>
                    <year>2024</year>;<volume>32</volume>:<fpage>399</fpage>&#x2013;<lpage>420</lpage>.
                    <pub-id pub-id-type="doi">10.1111/ijsa.12467</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref10">
                <label>10</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Salgado</surname>
                            <given-names>JF</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Moscoso</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Berges</surname>
                            <given-names>C</given-names>
                        </name>
</person-group>:
                    <article-title>Evaluating interview criterion-related validity for distinct constructs: A meta-analysis of structured interviews.</article-title>
                    <source>

                        <italic toggle="yes">Int. J. Sel. Assess.</italic>
</source>
                    <year>2024</year>;<volume>32</volume>(<issue>1</issue>):<fpage>17</fpage>&#x2013;<lpage>37</lpage>.
                    <pub-id pub-id-type="doi">10.1111/ijsa.12494</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref11">
                <label>11</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Sackett</surname>
                            <given-names>PR</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Zhang</surname>
                            <given-names>C</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Berry</surname>
                            <given-names>CM</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Revisiting meta-analytic estimates of validity in personnel selection: Addressing systematic overcorrection for restriction of range.</article-title>
                    <source>

                        <italic toggle="yes">J. Appl. Psychol.</italic>
</source>
                    <year>2021</year>;<volume>107</volume>(<issue>7</issue>):<fpage>2040</fpage>&#x2013;<lpage>2068</lpage>.
                    <pub-id pub-id-type="pmid">34968080</pub-id>
                    <pub-id pub-id-type="doi">10.1037/apl0000994</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref12">
                <label>12</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Van Iddekinge</surname>
                            <given-names>CH</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Arnold</surname>
                            <given-names>JD</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Frieder</surname>
                            <given-names>RE</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>A meta-analysis of the criterion-related validity of prehire work experience.</article-title>
                    <source>

                        <italic toggle="yes">Pers. Psychol.</italic>
</source>
                    <year>2019</year>;<volume>72</volume>(<issue>4</issue>):<fpage>571</fpage>&#x2013;<lpage>598</lpage>.
                    <pub-id pub-id-type="doi">10.1111/peps.12335</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref13">
                <label>13</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Castro Benavides</surname>
                            <given-names>LM</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Tamayo Arias</surname>
                            <given-names>JA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Arango Serna</surname>
                            <given-names>MD</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Digital transformation in higher education institutions: a systematic literature review.</article-title>
                    <source>

                        <italic toggle="yes">Sensors (Basel).</italic>
</source>
                    <year>2020 Jun</year>;<volume>20</volume>(<issue>11</issue>):<fpage>3291</fpage>.
                    <pub-id pub-id-type="pmid">32526998</pub-id>
                    <pub-id pub-id-type="doi">10.3390/s20113291</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7309098</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref14">
                <label>14</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Morris</surname>
                            <given-names>SB</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Daisley</surname>
                            <given-names>RL</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Wheeler</surname>
                            <given-names>M</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>A meta-analysis of the relationship between individual assessments and job performance.</article-title>
                    <source>

                        <italic toggle="yes">J. Appl. Psychol.</italic>
</source>
                    <year>2015</year>;<volume>100</volume>(<issue>1</issue>):5;<fpage>5</fpage>&#x2013;<lpage>20</lpage>.
                    <pub-id pub-id-type="doi">10.1037/a0036938</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref15">
                <label>15</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Florea</surname>
                            <given-names>L</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Valcea</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Hamdani</surname>
                            <given-names>MR</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>From first impressions to selection decisions: The role of dispositional cognitive motivations in the employment interview.</article-title>
                    <source>

                        <italic toggle="yes">Pers. Rev.</italic>
</source>
                    <year>2019</year>;<volume>48</volume>(<issue>1</issue>):<fpage>249</fpage>&#x2013;<lpage>272</lpage>.
                    <pub-id pub-id-type="doi">10.1108/PR-11-2017-0345</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref16">
                <label>16</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Otugo</surname>
                            <given-names>O</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Brown</surname>
                            <given-names>I</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Landry</surname>
                            <given-names>A</given-names>
                        </name>
</person-group>:
                    <article-title>Bias in recruitment: a focus on virtual interviews and holistic review to advance diversity.</article-title>
                    <source>

                        <italic toggle="yes">AEM Educ. Train.</italic>
</source>
                    <year>2021</year>;<volume>5</volume>(<issue>Suppl 1</issue>):<fpage>135</fpage>.
                    <pub-id pub-id-type="doi">doi.10.1002/aet.10661</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref17">
                <label>17</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Wiersma</surname>
                            <given-names>UJ</given-names>
                        </name>
</person-group>:
                    <article-title>The four stages of the employment interview: Helping interviewers put two and two together.</article-title>
                    <source>

                        <italic toggle="yes">Evidence-based HRM: a Global Forum for Empirical Scholarship.</italic>
</source>
                    <year>diciembre de 2016</year>;<volume>4</volume>(<issue>3</issue>):<fpage>232</fpage>&#x2013;<lpage>239</lpage>.
                    <pub-id pub-id-type="doi">10.1108/EBHRM-11-2015-0045</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref18">
                <label>18</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Woods</surname>
                            <given-names>SA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ahmed</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Nikolaou</surname>
                            <given-names>I</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Personnel selection in the digital age: A review of validity and applicant reactions, and future research challenges.</article-title>
                    <source>

                        <italic toggle="yes">Eur. J. Work Organ. Psy.</italic>
</source>
                    <year>2020</year>;<volume>29</volume>(<issue>1</issue>):<fpage>64</fpage>&#x2013;<lpage>77</lpage>.
                    <pub-id pub-id-type="doi">10.1080/1359432X.2019.1681401</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref19">
                <label>19</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Bergelson</surname>
                            <given-names>I</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Tracy</surname>
                            <given-names>C</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Takacs</surname>
                            <given-names>E</given-names>
                        </name>
</person-group>:
                    <article-title>Best practices for reducing bias in the interview process.</article-title>
                    <source>

                        <italic toggle="yes">Curr. Urol. Rep.</italic>
</source>
                    <year>2022</year>;<volume>23</volume>(<issue>11</issue>):<fpage>319</fpage>&#x2013;<lpage>325</lpage>.
                    <pub-id pub-id-type="pmid">36222998</pub-id>
                    <pub-id pub-id-type="doi">10.1007/s11934-022-01116-7</pub-id>
                    <pub-id pub-id-type="pmcid">PMC9553626</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref20">
                <label>20</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Jager</surname>
                            <given-names>KJ</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Tripepi</surname>
                            <given-names>G</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Chesnaye</surname>
                            <given-names>NC</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Where to look for the most frequent biases?</article-title>
                    <source>

                        <italic toggle="yes">Nephrology.</italic>
</source>
                    <year>2020</year>;<volume>25</volume>(<issue>6</issue>):<fpage>435</fpage>&#x2013;<lpage>441</lpage>.
                    <pub-id pub-id-type="pmid">32133725</pub-id>
                    <pub-id pub-id-type="doi">10.1111/nep.13706</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7318122</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref21">
                <label>21</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Buijsrogge</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Duyck</surname>
                            <given-names>W</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Derous</surname>
                            <given-names>E</given-names>
                        </name>
</person-group>:
                    <article-title>Initial impression formation during the job interview: Anchors that drive biased decision-making against stigmatized applicants.</article-title>
                    <source>

                        <italic toggle="yes">Eur. J. Work Organ. Psy.</italic>
</source>
                    <year>2021</year>;<volume>30</volume>(<issue>2</issue>):<fpage>305</fpage>&#x2013;<lpage>318</lpage>.
                    <pub-id pub-id-type="doi">10.1080/1359432X.2020.1833980</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref22">
                <label>22</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Li</surname>
                            <given-names>Y</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Wei</surname>
                            <given-names>X</given-names>
                        </name>
</person-group>:
                    <article-title>Examining the effects of male candidates&#x2019; gender nonconformity on employment decisions.</article-title>
                    <source>

                        <italic toggle="yes">Asia Pacific J. Hum. Resour.</italic>
</source>
                    <year>2024</year>;<volume>62</volume>(<issue>1</issue>).
                    <pub-id pub-id-type="doi">10.1111/1744-7941.12363</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref23">
                <label>23</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Frieder</surname>
                            <given-names>RE</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Iddekinge</surname>
                            <given-names>CH</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Raymark</surname>
                            <given-names>PH</given-names>
                        </name>
</person-group>:
                    <article-title>How quickly do interviewers reach decisions? An examination of interviewers&#x2019; decision-making time across applicants.</article-title>
                    <source>

                        <italic toggle="yes">J. Occup. Organ. Psychol.</italic>
</source>
                    <year>April 2015</year>;<volume>89</volume>(<issue>2</issue>):<fpage>223</fpage>&#x2013;<lpage>248</lpage>.
                    <pub-id pub-id-type="doi">10.1111/joop.12118</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref24">
                <label>24</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Hickman</surname>
                            <given-names>L</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Tay</surname>
                            <given-names>L</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Woo</surname>
                            <given-names>SE</given-names>
                        </name>
</person-group>:
                    <article-title>Are automated video interviews smart enough? Behavioral modes, reliability, validity, and bias of machine learning cognitive ability assessments.</article-title>
                    <source>

                        <italic toggle="yes">J. Appl. Psychol.</italic>
</source>
                    <year>2024</year>;<volume>110</volume>(<issue>3</issue>):<fpage>314</fpage>&#x2013;<lpage>335</lpage>.
                    <pub-id pub-id-type="pmid">39325374</pub-id>
                    <pub-id pub-id-type="doi">10.1037/apl0001236</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref25">
                <label>25</label>
                <mixed-citation publication-type="book">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Blackman</surname>
                            <given-names>M</given-names>
                        </name>
</person-group>:
                    <chapter-title>Using Interviewing in Selection. </chapter-title>
                    <person-group person-group-type="editor">

                        <name name-style="western">
                            <surname>Goldstein</surname>
                            <given-names>HV</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Pulakos</surname>
                            <given-names>ED</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Passmore</surname>
                            <given-names>J</given-names>
                        </name>

                        <etal/>
</person-group>, editors.
                    <source>

                        <italic toggle="yes">The Wiley Blackwell Handbook of the Psychology of Recruitment, Selection and Employee Retention.</italic>
</source>
                    <publisher-loc>Malden, Chichester</publisher-loc>:
                    <publisher-name>Wiley Blackwell</publisher-name>;
                    <edition>1st ed.</edition>
                    <year>2017</year>; pp.<fpage>182</fpage>&#x2013;<lpage>201</lpage>.
                    <pub-id pub-id-type="doi">10.1002/9781118972472.ch9</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref26">
                <label>26</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Wanberg</surname>
                            <given-names>CR</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ali</surname>
                            <given-names>AA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Csillag</surname>
                            <given-names>B</given-names>
                        </name>
</person-group>:
                    <article-title>Job seeking: the process and experience of looking for a job.</article-title>
                    <source>

                        <italic toggle="yes">Annu. Rev. Organ. Psych. Organ. Behav.</italic>
</source>
                    <year>2020</year>;<volume>7</volume>(<issue>3</issue>):<fpage>315</fpage>&#x2013;<lpage>337</lpage>.
                    <pub-id pub-id-type="doi">dx.10.1146/annurev-orgpsych-012119-044939</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref27">
                <label>27</label>
                <mixed-citation publication-type="other">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Morales</surname>
                            <given-names>H</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Lopez-Serrano</surname>
                            <given-names>A</given-names>
                        </name>
</person-group>:
                    <article-title>PRISMA 2020 Checklist and Flow Diagram for &#x201c;The Interview Trap: A Systematic Review on Employment Interview Biases.&#x201d;</article-title>
                    <source>

                        <italic toggle="yes">Zenodo.</italic>
</source>
                    <year>2025</year>.
                    <pub-id pub-id-type="doi">10.5281/zenodo.17195256</pub-id>
                </mixed-citation>
            </ref>
        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report485610">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.200512.r485610</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Ravesangar</surname>
                        <given-names>Kamalesh</given-names>
                    </name>
                    <xref ref-type="aff" rid="r485610a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r485610a1">
                    <label>1</label>Tunku Abdul Rahman University of Management and Technology, Pulau Pinang, Malaysia</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>4</day>
                <month>6</month>
                <year>2026</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Ravesangar K</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport485610" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.168805.2"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>1) The background provides a general overview of employment interviews but lacks statistical evidence or industry data to establish the importance of validity concerns. Without empirical grounding, the rationale feels descriptive rather than compelling.</p>
            <p> </p>
            <p> 2)&#x00a0;The problem statement is too broad, lack to specify which aspects of interview validity such as interviewer bias, question standardization, candidate impression management which are most critical. This weakens the clarity of the research gap.</p>
            <p> </p>
            <p> 3)&#x00a0;The paper does not include a dedicated literature review. This omission weakens the foundation of the study, as readers cannot see how prior research has shaped the rationale for the review. Theoretical framework need to be included.&#x00a0;The rationale for conducting the systematic review is underdeveloped. A literature review is needed to demonstrate why existing studies are insufficient and why a systematic synthesis is necessary. Readers may struggle to understand the scope of the review, since there is no prior scholarship overview to anchor the findings. This reduces clarity and credibility.</p>
            <p> </p>
            <p> 4)&#x00a0;The methods explain the review process well, but they do not clarify how updates or revisions will be handled if new studies emerge.&#x00a0;</p>
            <p> </p>
            <p> 5)&#x00a0;Your results section is clear, but grouping findings into themes such as interviewer bias, candidate strategies would make the synthesis stronger.&#x00a0;Make sure your results explicitly tie back to your research questions so readers can see how the evidence addresses your objectives.</p>
            <p> </p>
            <p> 6)&#x00a0;The conclusion need to highlight gaps or areas for future study in detail, which is expected in systematic reviews.&#x00a0;The conclusion summarizes findings but does not translate them into practical recommendations for HR practitioners or policymakers.</p>
            <p> </p>
            <p> 7)&#x00a0;The paper is generally understandable, but some sentences are overly long and complex. Shortening them or breaking into smaller units would improve readability. Please proofread the paper before submission for indexing.&#x00a0;</p>
            <p> </p>
            <p> Overall, The novelty of your paper could be improved by clearly stating how your review differs from past studies and by proposing a framework or practical recommendations.</p>
            <p>Are the rationale for, and objectives of, the Systematic Review clearly stated?</p>
            <p>Yes</p>
            <p>Is the statistical analysis and its interpretation appropriate?</p>
            <p>Not applicable</p>
            <p>If this is a Living Systematic Review, is the &#x2018;living&#x2019; method appropriate and is the search schedule clearly defined and justified? (&#x2018;Living Systematic Review&#x2019; or a variation of this term should be included in the title.)</p>
            <p>Yes</p>
            <p>Are sufficient details of the methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results presented in the review?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Human Resource Management, Organizational Behavior, Sustainability</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report442904">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.186020.r442904</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Madhuri</surname>
                        <given-names>Ananthaneni</given-names>
                    </name>
                    <xref ref-type="aff" rid="r442904a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0009-0002-4033-3953</uri>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Kumar</surname>
                        <given-names>Dr B R</given-names>
                    </name>
                    <xref ref-type="aff" rid="r442904a2">2</xref>
                    <role>Co-referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-0310-9848</uri>
                </contrib>
                <aff id="r442904a1">
                    <label>1</label>Andhra Loyola College, Vijayawada, Andhra Pradesh, India</aff>
                <aff id="r442904a2">
                    <label>2</label>MBA, Andhra Loyola College (Ringgold ID: 207651), Vijayawada, Andhra Pradesh, India</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>6</day>
                <month>1</month>
                <year>2026</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Madhuri A and Kumar DBR</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport442904" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.168805.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The article&#x2019;s rationale and objectives are clearly stated and well aligned with the methods, results, and conclusions, and no major issues need correction for it to be scientifically sound. The main caveats relate to the inherently qualitative nature of the synthesis rather than to errors per se, so there are no &#x201c;must fix&#x201d; statistical problems.&#x200b;</p>
            <p> 
                <bold>Article summary</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>The review examines how interviewer biases (e.g. implicit, first&#x2011;impression, confirmation, halo, overconfidence) and interview modalities (structured vs unstructured, face&#x2011;to&#x2011;face vs video/automated, single vs panel) affect the&#x00a0;validity&#x00a0;and reliability of employment interviews.&#x200b;</p>
                    </list-item>
                    <list-item>
                        <p>Using PECO and PRISMA 2020, the authors search Web of Science and Scopus (2015&#x2013;2025), apply explicit eligibility and quality&#x2011;assessment criteria, and retain 19 full&#x2011;text studies for detailed analysis.&#x200b;</p>
                    </list-item>
                    <list-item>
                        <p>Results highlight the central role of first&#x2011;impression bias, the influence of appearance and rapport, the mixed effects of interviewer training, and the benefits and limitations of structured formats, scoring rubrics, panels, and recording interviews.&#x200b;</p>
                    </list-item>
                    <list-item>
                        <p>The conclusions recommend interviewer refresher training, standardized scoring, pre&#x2011; and post&#x2011;interview reflection, recording interviews, and explicit bias&#x2011;mitigation strategies (e.g. job analysis, self&#x2011;awareness) to improve fairness and decision quality.&#x200b;</p>
                    </list-item>
                </list> 
                <bold>Rationale and objectives</bold>
            </p>
            <p> Answer: Yes. 
                <list list-type="bullet">
                    <list-item>
                        <p>The introduction clearly identifies a gap: prior meta&#x2011;analyses mostly address overall validity of interviews, whereas this review focuses on the intersection of interviewer biases and interview formats and on practical mitigation strategies.&#x200b;</p>
                    </list-item>
                    <list-item>
                        <p>The Objectives section clearly states the overall aim (&#x201c;two dimensions&#x201d;: personal/bias and technical/modality) and then formulates two main RQs with detailed sub&#x2011;questions (e.g. most widespread biases, effect of training, impact of structured interviews and rapport).&#x200b;</p>
                    </list-item>
                </list> No changes are strictly required here. If the authors wish to strengthen clarity further, they could add a short paragraph at the end of the Introduction explicitly restating the two dimensions and RQs in one compact block, but this is optional.&#x200b;</p>
            <p> 
                <bold>Methods and analysis (replicability)</bold>
            </p>
            <p> Answer: Yes. 
                <list list-type="bullet">
                    <list-item>
                        <p>The methods follow PRISMA 2020 and PECO; population, exposures, comparisons, outcomes, time window (2015&#x2013;2025), setting (academic articles), and language (English) are all clearly defined.&#x200b;</p>
                    </list-item>
                    <list-item>
                        <p>Full search strings are given for both Scopus and Web of Science, including keywords, Boolean operators, subject&#x2011;area filters, document types, publication years, and language limits.&#x200b;</p>
                    </list-item>
                    <list-item>
                        <p>The selection process is detailed: 
                            <list list-type="bullet">
                                <list-item>
                                    <p>Use of Mendeley to remove duplicates and code eligibility.&#x200b;</p>
                                </list-item>
                                <list-item>
                                    <p>Initial screening numbers (122 selected, 72 excluded) and later inclusion (19 full&#x2011;reading papers, 31 excluded) with tables summarizing counts.&#x200b;</p>
                                </list-item>
                                <list-item>
                                    <p>A formal logical rule for eligibility (IF/AND function using presence of specific phrases in title and abstract).&#x200b;</p>
                                </list-item>
                                <list-item>
                                    <p>A quality&#x2011;assessment checklist with explicit scoring (0, 0.5, 1) and a threshold (&#x2265;4) to retain articles.&#x200b;</p>
                                </list-item>
                            </list> </p>
                    </list-item>
                    <list-item>
                        <p>Data extraction and synthesis are described as a three&#x2011;step process (highlighting, coding, and spreadsheet&#x2011;based extraction), and the set of acronyms/codes is documented in Figure 2 and Table 5.&#x200b;</p>
                    </list-item>
                </list> Constructive suggestions (optional, not essential for soundness): 
                <list list-type="bullet">
                    <list-item>
                        <p>Explicitly state inter&#x2011;rater procedures: clarify whether screening, quality assessment, and coding were done by more than one reviewer and how disagreements were resolved (e.g. consensus or third reviewer).&#x200b;</p>
                    </list-item>
                    <list-item>
                        <p>Specify dates of the final database search and whether searches were re&#x2011;run before submission, which would further support transparency for future replications.&#x200b;</p>
                    </list-item>
                </list> 
                <bold>Statistical analysis and interpretation</bold>
            </p>
            <p> Answer: Not applicable. 
                <list list-type="bullet">
                    <list-item>
                        <p>The review is a qualitative, narrative synthesis without pooled effect sizes or formal meta&#x2011;analytic models; analysis consists of structured coding, conceptual mapping, and descriptive summaries of findings across studies.&#x200b;</p>
                    </list-item>
                    <list-item>
                        <p>The conceptual network (e.g. centrality of first&#x2011;impression bias, ties between rapport, physical appearance, confirmatory bias) is used descriptively to illustrate how concepts co&#x2011;occur across the included studies, not to make unsupported quantitative claims.&#x200b;</p>
                    </list-item>
                </list> Because no inferential statistics are presented, there is no statistical analysis whose appropriateness can be formally judged. To pre&#x2011;empt confusion, the authors could add one sentence in Methods such as: &#x201c;Given the heterogeneity and limited number of studies, no quantitative meta&#x2011;analysis was undertaken; findings were synthesized narratively using coded themes and conceptual mapping.&#x201d;&#x200b;</p>
            <p> 
                <bold>Support for the conclusions</bold>
            </p>
            <p> Answer: Yes. 
                <list list-type="bullet">
                    <list-item>
                        <p>The conclusion that interviews can be improved through interviewer refresher training, recorded interviews, and bias&#x2011;mitigation strategies (job analysis, self&#x2011;awareness) echoes specific patterns described in the Results and Discussion, including evidence on the roles of training, scoring rubrics, and bias awareness.&#x200b;</p>
                    </list-item>
                    <list-item>
                        <p>The centrality of first&#x2011;impression bias and related constructs (appearance, rapport, confirmatory bias) in the conceptual network directly reflects how often these appear across the included studies and is accurately discussed as a major threat to fairness and validity.&#x200b;</p>
                    </list-item>
                    <list-item>
                        <p>The discussion acknowledges nuance: 
                            <list list-type="bullet">
                                <list-item>
                                    <p>Training can reduce some biases but may also heighten susceptibility for some interviewers (e.g. younger or recently trained), aligning with reported findings.&#x200b;</p>
                                </list-item>
                                <list-item>
                                    <p>Structured interviews and standardized scoring improve reliability and perceived fairness but do not fully eliminate bias or error.&#x200b;</p>
                                </list-item>
                                <list-item>
                                    <p>Single&#x2011;interviewer setups are more vulnerable to idiosyncratic judgments, whereas properly selected and trained panels can increase reliability, again matching literature cited in the Results.&#x200b;</p>
                                </list-item>
                            </list> </p>
                    </list-item>
                </list> Constructive suggestions (optional): 
                <list list-type="bullet">
                    <list-item>
                        <p>Add a short, clearly labeled &#x201c;Limitations&#x201d; paragraph emphasizing: (a) the small number of included studies (19), (b) concentration in certain disciplines and geographies, and (c) absence of quantitative effect aggregation, to further temper the generality of recommendations.&#x200b;</p>
                    </list-item>
                    <list-item>
                        <p>Where practice recommendations are made (e.g. recording interviews, specific training formats), explicitly tie at least one concrete example to named studies in the text to reinforce the evidence base behind each recommendation.&#x200b;</p>
                    </list-item>
                </list> 
                <bold>Living systematic review criterion</bold>
            </p>
            <p> Answer: Not applicable. 
                <list list-type="bullet">
                    <list-item>
                        <p>The title and text describe the article as &#x201c;a systematic review&#x201d; but do not claim it is a Living Systematic Review; there is no planned update schedule or living&#x2011;review methodology.&#x200b;</p>
                    </list-item>
                    <list-item>
                        <p>Therefore, the &#x201c;living&#x201d; criteria do not apply and no changes are required on this point.&#x200b;</p>
                    </list-item>
                </list>
            </p>
            <p>Are the rationale for, and objectives of, the Systematic Review clearly stated?</p>
            <p>Yes</p>
            <p>Is the statistical analysis and its interpretation appropriate?</p>
            <p>Not applicable</p>
            <p>If this is a Living Systematic Review, is the &#x2018;living&#x2019; method appropriate and is the search schedule clearly defined and justified? (&#x2018;Living Systematic Review&#x2019; or a variation of this term should be included in the title.)</p>
            <p>Not applicable</p>
            <p>Are sufficient details of the methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results presented in the review?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Behavioural finance, Securities markets, money markets, Financial services, Capital Markets&#x2026;..</p>
            <p>We confirm that we have read this submission and believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
        <back>
            <ref-list>
                <title>References</title>
                <ref id="rep-ref-442904-1">
                    <label>1</label>
                    <mixed-citation publication-type="journal">
                        <person-group person-group-type="author"/>:
                        <article-title>The Interview Trap: A systematic review on factors affecting the validity of Employment Interviews</article-title>.
                        <source>
                            <italic>F1000Research</italic>
                        </source>.<year>2025</year>;<volume>14</volume>:
                        <elocation-id>10.12688/f1000research.168805.1</elocation-id>
                        <pub-id pub-id-type="doi">10.12688/f1000research.168805.1</pub-id>
                    </mixed-citation>
                </ref>
            </ref-list>
        </back>
        <sub-article article-type="response" id="comment15288-442904">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>L&#x00f3;pez Serra</surname>
                            <given-names>Aida</given-names>
                        </name>
                        <aff>Vice-rectorate for Internation, Universidad Internacional de La Rioja, Logro&#x00f1;o, La Rioja, Spain</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>16</day>
                    <month>1</month>
                    <year>2026</year>
                </pub-date>
            </front-stub>
            <body>
                <p>We sincerely thank the reviewers for their thorough and constructive evaluation of our manuscript, 
                    <italic>&#x201c;The Interview Trap: A systematic review on factors affecting the validity of Employment Interviews.&#x201d;</italic>
                </p>
                <p> We appreciate the positive assessment that the article is scientifically sound and that no major corrections are required.</p>
                <p> Hernan &amp; Aida</p>
            </body>
        </sub-article>
    </sub-article>
</article>
