<?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="research-article" 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.139693.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Cultural adaptation to Spanish and psychometric analysis of the Woman Abuse Screening Tool (WAST) in Peruvian adult women</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Cjuno</surname>
                        <given-names>Julio</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/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</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>
                    <uri content-type="orcid">https://orcid.org/0000-0001-6732-0381</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Calder&#x00f3;n-P&#x00e9;rez</surname>
                        <given-names>Eliana</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</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; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-0502-2367</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Contreras</surname>
                        <given-names>Lucero</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</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>
                    <uri content-type="orcid">https://orcid.org/0000-0001-7432-6255</uri>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Campos</surname>
                        <given-names>Keyla</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</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/">Resources</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="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Ipanaqu&#x00e9;-Neyra</surname>
                        <given-names>Juan</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/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</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="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Bazan-Palomino</surname>
                        <given-names>Edgar</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/">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/">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="no">
                    <name>
                        <surname>Alvarado-Carbonel</surname>
                        <given-names>Marco</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/">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/">Resources</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>
                <aff id="a1">
                    <label>1</label>Escuela de Medicina, Universidad Cesar Vallejo, Piura, Peru</aff>
                <aff id="a2">
                    <label>2</label>Unidad de Posgrado de Psicolog&#x00ed;a, Universidad Peruana Union, Lima, Peru</aff>
                <aff id="a3">
                    <label>3</label>Facultad de Humanidades y Lenguas Modernas, Universidad Ricardo Palma, Lima, Peru</aff>
                <aff id="a4">
                    <label>4</label>Escuela Profesional de Psicolog&#x00ed;a, Universidad Peruana Union, Lima, Peru</aff>
                <aff id="a5">
                    <label>5</label>Universidad Catolica de Trujillo Benedicto, Benedicto XVI, Escuela de Posgrado, Trujillo, Peru</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:jccjunoc@ucvvirtual.edu.pe">jccjunoc@ucvvirtual.edu.pe</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>28</day>
                <month>11</month>
                <year>2023</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2023</year>
            </pub-date>
            <volume>12</volume>
            <elocation-id>1520</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>6</day>
                    <month>9</month>
                    <year>2023</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Cjuno J et al.</copyright-statement>
                <copyright-year>2023</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/12-1520/pdf"/>
            <abstract>
                <p>
                    <bold>BACKGROUND:</bold> Partner violence is a public health problem. In Peru, women with spouses are vulnerable to suffering it. The Woman Abuse Screening Tool (WAST) is a widely recommended instrument for the early identification of these cases. Therefore, our objective was to adapt and analyse the psychometric properties of the WAST scale in adult Peruvian women.</p>
                <p>
                    <bold>METHODOLOGY:</bold> This was an instrumental study, with a sample of 628 women who were in a marital condition of cohabitation or married at the time of the study. The mean age was 35 years (M = 35.58; SD = 10.92) and on average they were living with their partner for 9 years (M = 9.93; SD = 8.41). This sample was selected by non-probabilistic snowball sampling. The Woman Abuse Screening Tool (WAST), Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire (PHQ-9) were used. The validity of the internal structure was verified with confirmatory factor analysis (CFA), convergent validity by correlation coefficients between the WAST, GAD-7 and PHQ-9, while reliability was verified using Cronbach&#x2019;s alpha and McDonald&#x2019;s Omega coefficient.</p>
                <p>
                    <bold>RESULTS:</bold> Factorial analysis indicated that the one-dimensional model showed adequate goodness-of-fit indices (CFI = 0.998; TLI=0.991; RMSEA=0.103; SRMR=0.075), and reliability coefficients (&#x03b1; = 0.899 and &#x03c9; = 0.916) were optimal. Additionally, the WAST showed strong external validity based on the relationship with the PHQ-9 and GAD-7 scores (Rho &gt; 0.50).</p>
                <p>
                    <bold>CONCLUSIONS:</bold> The Woman Abuse Screening Tool (WAST) scale demonstrated solid evidence of internal and external validity and optimal reliability in adult Peruvian women. Its use will benefit the early identification of victims of intimate partner violence in primary health care and further research.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>WAST</kwd>
                <kwd>intimate partner violence</kwd>
                <kwd>psychometrics</kwd>
                <kwd>Woman Abuse Screening Tool</kwd>
                <kwd>violence</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>Intimate partner violence is an ongoing and persistent phenomenon worldwide, with devastating impact on victims and significant costs for society.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> What is most alarming is that during the COVID-19 pandemic, spending more time with one&#x2019;s spouse resulted in more abusive situations.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> The Pan American Health Organization reported that 736 million women suffer physical, sexual, or psychological violence perpetrated by an intimate partner and 38% of female homicides are committed by their intimate partner.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> During 2021, the lives of 45,000 women worldwide were claimed (5 women murdered every hour).
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> In the Peruvian context, in the first quarter of 2021, the Centre for Women&#x2019;s Emergency (CEM) attended 38,769 cases of violence, the helpline (100) received 36,911 cases, institutional care centres (CAI) had 711 cases, and Urgent Care Services (UCS) had 1,854 cases. Regarding the type of violence: psychological violence was the most prevalent with 16,849 cases (43.46%), followed by physical violence with 15,248 cases (39.33%), and sexual violence with 6,941 (16.74%) reported cases.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> In view of this, the United Nations (UN) states that prevention is the only way to stop violence before it happens.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> Therefore, it is essential to have valid and reliable tools for early detection of these cases.</p>
            <p>The Woman Abuse Screening Tool (WAST) is one of the best instruments for the detection of intimate partner violence with a sensitivity of 47% and a specificity of 96% in identifying cases of intimate partner violence, as determined by a recent systematic review.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> So far several studies have been conducted to adapt the WAST to different cultural and linguistic contexts such as one study conducted in France, with abused and non-abused women, which showed a good internal consistency (Cronbach&#x2019;s &#x03b1; coefficient = 0.95), in addition to presenting a sensitivity of 97.7% and a specificity of 97.1%.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> Another study conducted in London, Ontario, Canada and surrounding areas assessed the validity and reliability of the WAST in a general population in a family practice setting. It showed good external validity by correlating the WAST to the Abuse Risk Inventory (ARI) (r = 0.69; p = 0.01), as well as good reliability, demonstrated by a alpha coefficient of 0.75.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> In Jakarta, Indonesia, the WAST was adapted from English to Indonesian and tested with 240 women attending two primary care centres, which showed high internal reliability (&#x03b1; = .801.), and has a cut-off of 10, with sensitivity (84.9%) and specificity (61.0%), showing reasonable proportions of a necessary violence screening tool for Indonesia.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup>
            </p>
            <p>In the Latin American context, the WAST was adapted and validated in Chilean women, showing 100% sensitivity and 96.4% specificity.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup> In Peru, it was conducted in university women who were involved in romantic or dating relationships, showing adequate goodness-of-fit indices (CFI = 0.994; TLI = 0.992; SRMR = 0.049; RMSEA = 0.058) of its internal structure and good reliability (&#x03b1; = 0.86; &#x03c9; = 0.90).
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> However, adult women living with their partners do not yet have a screening instrument to identify cases of intimate partner violence at an early stage. Therefore, the objective of this research was to adapt the WAST to Peruvian Spanish and to analyse the validity properties of the internal structure, measurement invariance, validity based on the relationship with other variables and reliability in Peruvian adult women.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <sec id="sec3">
                <title>Cultural adaptation phase</title>
                <p>
                    <bold>Translation</bold>
                </p>
                <p>Between December 2022 and January 2023, the English version of the Woman Abuse Screening Tool (WAST) scale was translated into Peruvian Spanish by two independent translators. After the translation was completed, a consensus was reached among the translators and researchers so that the translations were reviewed to determine a single version in Peruvian Spanish. To verify the quality of the translation, a reverse translation (from Spanish to English) was used, where two additional translators were hired; a consensus was reached to verify the similarities with the original version (in English) and the final version of the WAST translation was approved.</p>
            </sec>
            <sec id="sec4">
                <title>Cultural adaptation to the Peruvian population</title>
                <p>For this stage, a validation and cultural adaptation form was initially elaborated, considering some indicators such as relevance, representativeness, clarity and cultural equivalence.
                    <sup>
                        <xref ref-type="bibr" rid="ref33">33</xref>
                    </sup> In addition, the expert judges were asked to make qualitative suggestions to improve the items. Four expert judges (two psychologists and two physicians) with at least three years of experience in dealing with cases of intimate partner violence participated in the study. The research team had an interaction (verification rounds) from two to four times with the expert judges individually. In these interactions, the goal was to present a version with the improvements made until a favourable review was obtained from the judges.</p>
                <p>In order to verify the clarity and ease of understanding of the WAST items in Peruvian Spanish, a focus group was organised (on a virtual platform). This activity was carried out by a psychologist dedicated to scientific research with a master&#x2019;s degree and experience in qualitative interview methods. The researchers who were in Cajamarca, Ancash, and Lima invited women to participate in public parks in urban areas and in the community hall in rural areas. Initially, the researchers presented the study and the objectives, and invited the participants to participate in the study. Women over 18 years of age who had been living with their spouse in the last year were included, and those who did not have Peruvian nationality were excluded. The focus group was recorded with the consent of all participants. 12 women over 18 years of age participated in the focus group, 3 of them indicated that they had completed primary education and 9 that they had completed secondary education, and 5 lived in rural areas and 7 in urban areas. Initially, the WAST scale was presented in a virtual format in Google Forms and the moderator requested the participants to complete the scale. Subsequently, the moderator used a guide of open questions related to the clarity and understanding of the WAST items referring to the content analysis, which was developed for the focus group. Further details of the cultural adaptation process can be found in the flow chart (see Ref. 
                    <xref ref-type="bibr" rid="ref33">33</xref>).</p>
            </sec>
            <sec id="sec5">
                <title>Psychometric analysis phase</title>
                <p>
                    <bold>Participants</bold>
                </p>
                <p>Participants were selected by non-probability snowball sampling (n = 628 women). The participants were women over 18 years of age, living in urban and rural areas of different departments in Peru, who reported having a partner with whom they were living (at the time of the study) in a cohabiting or married condition, at least able to read Peruvian Spanish, and having Peruvian nationality.</p>
            </sec>
            <sec id="sec6">
                <title>Instruments</title>
                <p>The Woman Abuse Screening Tool (WAST) scale assesses indicators of intimate partner violence. This instrument has 8 items and a single dimension, which are designed to determine the degree of tension and difficulty in the partner relationship, as well as the presence of violent episodes, which can be answered on a Likert scale, from 1 to 3, with 1 being the option of least intensity or frequency. In its original version, it reported adequate discriminant validity when correlating the WAST with the Abuse Risk Inventory -ARI (Rho = 0.90; p= 0.00), and also showed an optimal alpha coefficient of 0.95.
                    <sup>
                        <xref ref-type="bibr" rid="ref12">12</xref>
                    </sup>
                </p>
                <p>The Patient Health Questionnaire (PHQ-9) consists of 9 items that correspond to DSM-IV depressive symptoms.
                    <sup>
                        <xref ref-type="bibr" rid="ref13">13</xref>
                    </sup> Its response options are directed to the last two weeks, considering a Likert-type scale: 0 = not at all, 1 = several days, 2 = most days, 3 = almost every day. From its nine items a score between 0 and 27 can be obtained. The Spanish version of the PHQ-9 has shown validity (e.g., goodness-of-fit as an one-dimensional measure: CFI = 0.936; RMSEA = 0.089; SRMR = 0.039), as well as adequate reliability (&#x03b1; = &#x03c9; = 0.87) in a Spanish-speaking Peruvian population.
                    <sup>
                        <xref ref-type="bibr" rid="ref14">14</xref>
                    </sup>
                </p>
                <p>The Generalized Anxiety Disorder-7 (GAD-7)
                    <sup>
                        <xref ref-type="bibr" rid="ref15">15</xref>
                    </sup> scale assesses generalised anxiety disorder during the last two weeks according to the DSM-V. It presents 7 items ranging from 0 (not at all), 1 (some days), 2 (more than half of the days) to 3 (almost every day) and the score can vary from 0 to 21. It also shows an adequate internal and external structure, taking into account an one-dimensional model (&#x03c7;
                    <sup>2</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref14">14</xref>
                    </sup> = 31.717, CFI = .995, TLI = .992, RMSEA = .056, SRMR = .026) as well as adequate reliability (&#x03b1; = .92).</p>
            </sec>
            <sec id="sec7">
                <title>Covariates</title>
                <p>Some variables were considered to characterise the population, as well as to study the measurement invariance of the one-dimensional model according to age (in years), sex (female, male), educational level (primary or secondary, higher), work activity (housewife, employee or worker, own business) and place of residence (urban area, rural area).</p>
            </sec>
            <sec id="sec8">
                <title>Procedures</title>
                <p>For data collection, approval was first sought from the Ethics Committee. Then, three trained interviewers presented the data collection instrument by means of a URL or QR code printout leading to the survey in Google Forms (with the following structure: informed consent, WAST, PHQ-9, GAD-7). The instrument initially presented informed consent and only those who agreed to participate proceeded with the survey. Data collection was conducted in the departments of Cajamarca, Ancash and Lima. Each interviewer approached potential participants in public parks, considering only those who indicated that they lived with their spouse in the same household during the data collection period (January to April 2023). Once identified, they proceeded to present the study and once the data collection was completed, they asked the participant to provide an account of another adult woman living with her partner (married or cohabiting). This procedure was repeated until the end of the data collection period.</p>
            </sec>
            <sec id="sec9">
                <title>Statistical analysis</title>
                <p>At the descriptive level, we used descriptive statistics of the items (mean, standard deviation, skewness and kurtosis). Subsequently, a confirmatory factor analysis (CFA) was performed assuming that the WAST is a one-dimensional model, due to its uniform (one-dimensional) behaviour in all previous studies. Also, we used the weighted least square mean and variance adjusted (WLSMV) estimator because this estimator is unbiased for instruments with ordinal categorical items and non-normal distribution.
                    <sup>
                        <xref ref-type="bibr" rid="ref16">16</xref>
                    </sup> We report the standardised betas of the model and standard measures of goodness-of-fit: the &#x03c7;
                    <sup>2</sup> for the model versus baseline, considering values &lt; 3 acceptable; the comparative fit index (CFI), which is adequate when &gt;0.90; the Tucker-Lewis Index (TLI), which is acceptable when &gt;0.90. In addition, the standardised root mean square residual (SRMR) and the root mean squared error of approximation (RMSEA) were considered adequate with values &#x2264; 0.08.
                    <sup>
                        <xref ref-type="bibr" rid="ref17">17</xref>
                    </sup>
                </p>
                <p>The next step was to assess measurement invariance across groups defined by housing location (rural, urban), using a multi-group CFA. The CFI (&#x0394;CFI) and RMSEA (&#x0394;RMSEA) values are used as the main criterion to compare models with more restrictions against models with fewer restrictions. Initially, the models assumed configural invariance (i.e., similar factor structure across groups) as the base model, progressing to metric invariance (i.e., similar factor loadings and factor structure across groups), strong invariance (i.e., similar thresholds, factor loadings, and factor structure across groups), and strict invariance (i.e., similar residual variances of items, thresholds, factor loadings, and factor structure across groups). Between each model, we examined whether &#x0394;CFI &lt; 0.01 or &#x0394;RMSEA &lt; 0.01 to establish whether the more restricted model was appropriate.
                    <sup>
                        <xref ref-type="bibr" rid="ref18">18</xref>
                    </sup>
                </p>
                <p>Optionally, MIMIC (multiple indicator, multiple cause) models were fitted for the assessment of measurement invariance by age, education level, years of living together and work activity. The invariance of the intercepts of the indicators and the mean differences of the latent dimensions were evaluated, all through groups according to these variables. Each covariate is evaluated separately, comparing for each of them two types of models: 1) a saturated version where the covariate explains all the observed items, but not the latent dimensions, and 2) a version of the invariant intercept model where the covariate explains all the latent dimensions, but not the items. Similarly, the fit indices reported above are reported and interpreted.
                    <sup>
                        <xref ref-type="bibr" rid="ref18">18</xref>
                    </sup>
                </p>
                <p>Reliability was also estimated using Cronbach&#x2019;s Alpha
                    <sup>
                        <xref ref-type="bibr" rid="ref19">19</xref>
                    </sup> and McDonald&#x2019;s Omega.
                    <sup>
                        <xref ref-type="bibr" rid="ref20">20</xref>
                    </sup> All analyses were performed in R Studio version 4.0.4, with the packages &#x201c;lavaan&#x201d;,
                    <sup>
                        <xref ref-type="bibr" rid="ref21">21</xref>
                    </sup> &#x201c;lavaan.survey&#x201d;,
                    <sup>
                        <xref ref-type="bibr" rid="ref22">22</xref>
                    </sup> &#x201c;semTools&#x201d;,
                    <sup>
                        <xref ref-type="bibr" rid="ref23">23</xref>
                    </sup> &#x201c;semPlot&#x201d;.
                    <sup>
                        <xref ref-type="bibr" rid="ref24">24</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec10">
                <title>Ethical considerations</title>
                <p>This study was evaluated and approved by the Ethics Committee of Universidad Cesar Vallejo with report 022-CE-FCS-UCV-21, with approval date 9 December, 2021. All the ethical principles of research involving human subjects from Declaration of Helsinki,
                    <sup>
                        <xref ref-type="bibr" rid="ref25">25</xref>
                    </sup> such as autonomy, confidentiality and fairness, were respected both in the sample for the psychometric analysis and the focus group participants. Participants were given an information sheet regarding the study (via Google Forms) and confirmed their consent via clicking &#x2018;yes&#x2019; on the form. Authorisation to use and adapt the original instrument was obtained from the copyright owner through email.</p>
            </sec>
        </sec>
        <sec id="sec11" sec-type="results">
            <title>Results</title>
            <p>The sample consisted of n = 628 women who were in a cohabiting or married marital status at the time of the study, the mean age was 35 years (M = 35.58; SD = 10.92) and on average were living with their partner for 9 years (M = 9.93; SD = 8.41). The majority of participants, 348 (55.4%), reported having primary or secondary education; 301 (47.9%) were housewives and 322 (51.3%) lived in urban areas (
                <xref ref-type="table" rid="T1">Table 1</xref>).</p>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>Table 1. </label>
                <caption>
                    <title>Characteristics of Peruvian adult women (n = 628).</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="1" valign="top">M</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">SD</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Age</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">35.58</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">10.92</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Years of cohabitation</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">9.93</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">8.41</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>n</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>%</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Education level</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Primary or secondary</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">348</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">55.4</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Higher</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">280</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">44.6</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Work activity</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Homemaker</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">301</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">47.9</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Employee or worker</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">179</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">28.5</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Own business</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">148</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">23.6</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Place of residence</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Urban area</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">322</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">51.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Rural area</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">306</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">48.7</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>M = Mean, SD = Standard Deviation.</p>
                </table-wrap-foot>
            </table-wrap>
            <sec id="sec12">
                <title>Confirmatory factor analysis</title>
                <p>It has been identified that the one-dimensional model presents adequate goodness-of-fit indices (CFI = 0.998; TLI = 0.991; RMSEA = 0.103; SRMR = 0.075), considering the CFI and TLI with values &gt; 0.95, as well as the RMSEA and SRMR with values &lt; 0.10 estimating those as adequate fits and in the case of the RMSEA as moderately adequate (
                    <xref ref-type="table" rid="T2">Table 2</xref>). Likewise, the factor loadings were between &#x03bb; = 0.79 and &#x03bb; = 0.96 with values &gt; 0.30 (
                    <xref ref-type="fig" rid="f1">Figure 1</xref>).</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>Table 2. </label>
                    <caption>
                        <title>Confirmatory factor analysis of the WAST in Peruvian adult women.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Model</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">Goodness-of-fit index</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="7" valign="middle">1 dimension</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x03c7;
                                    <sup>2</sup> (28)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.824</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">CFI</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.994</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">TLI</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.991</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">SRMR</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.075</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">RMSEA</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.103</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Alpha</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.899</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Omega</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.916</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>&#x03c7;
                            <sup>2</sup> (df&gt;) for model versus baseline, CFI = comparative fit index, TLI = Tucker-Lewis index, SRMR = Standardized root mean squared residual, RMSEA = Root mean squared error of approximation.</p>
                    </table-wrap-foot>
                </table-wrap>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>SEM graphic of the WAST in Peruvian women.</title>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/152990/573899cc-c863-4962-a7a6-dad5648e3a03_figure1.gif"/>
                </fig>
            </sec>
            <sec id="sec13">
                <title>Measurement invariance</title>
                <p>The configural invariance reported that the model structure is similar based on place of residence (rural/urban) (p &gt; 0.05). Additionally, the CFI and TLI values were greater than 0.95 and the RMSEA and SRMR less than 0.10, so we proceeded to analyse the metric, strong and strict invariance, the goodness-of-fit indices were within the expected parameters for an adequate fit and their delta values (&#x0394; CFI and &#x0394; RMSEA &lt; 0.015) reported values below the parameter for an adequate strict invariance (
                    <xref ref-type="table" rid="T3">Table 3</xref>).</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>Table 3. </label>
                    <caption>
                        <title>Invariance of the WAST measure by place of residence (rural/urban) in Peruvian adult women.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Cluster variable</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">WAST (internal structure)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Invariance (model)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">X2</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">gl</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">p</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">CFI</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">&#x0394; CFI</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">RMSEA</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">&#x0394; RMSEA</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="4" valign="middle">
                                    <bold>Place of residence</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="4" valign="middle">1 dimension</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1. Configural</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">141.88</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">40</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">.</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.986</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">.</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.116</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2. Metric</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">178.56</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">47</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.025</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.987</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.102</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.014</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3. Strong</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">181.23</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">54</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.983</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.004</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.110</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.008</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4. Strict</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">230.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">62</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.004</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.983</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.103</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.007</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>&#x03c7;
                            <sup>2</sup> = Chi-squared, df = degrees of freedom, gl = degree of freedom, p = p value, CFI = comparative fit index, RMSEA = root mean squared error of approximation, &#x0394; = difference, &#x03c7;
                            <sup>2</sup>(df) for model versus baseline (using Satorra-Betler method).</p>
                        <p>The MIMIC model for numerical variables and variables with subsamples reported optimal goodness-of-fit indices (CFI and TLI &gt; 0.95; RMSEA and SRMR &lt; 0.10). Also the absolute values of &#x0394;CFI, &#x0394;TLI and &#x0394;RMSEA were adequate according to the established parameters (&lt;0.015), so the WAST invariance is assumed for the studied variables (
                            <xref ref-type="table" rid="T4">Table 4</xref>).</p>
                    </table-wrap-foot>
                </table-wrap>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>Table 4. </label>
                    <caption>
                        <title>Goodness-of-fit of the WAST indicators for the population of Peruvian adult women using multiple indicator, multiple cause (MIMIC).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Covariates</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Model</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">CFI</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">TLI</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">RMSEA</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">SRMR</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">&#x0394; CFI</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">&#x0394; TLI</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">&#x0394; MRSEA</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">
                                    <bold>Age</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Satured MIMIC</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.994</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.991</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.103</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.075</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle"/>
                                <td align="left" colspan="1" rowspan="1" valign="middle"/>
                                <td align="left" colspan="1" rowspan="1" valign="middle"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Invariant intercept MIMIC</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.993</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.993</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.090</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.072</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.002</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.013</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">
                                    <bold>Years of cohabitation</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Satured MIMIC</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.994</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.991</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.103</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.075</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle"/>
                                <td align="left" colspan="1" rowspan="1" valign="middle"/>
                                <td align="left" colspan="1" rowspan="1" valign="middle"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Invariant intercept MIMIC</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.994</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.993</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.089</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.074</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.002</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.014</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">
                                    <bold>Education level</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Satured MIMIC</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.992</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.993</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.094</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.071</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle"/>
                                <td align="left" colspan="1" rowspan="1" valign="middle"/>
                                <td align="left" colspan="1" rowspan="1" valign="middle"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Invariant intercept MIMIC</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.994</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.992</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.097</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.071</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.002</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.003</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">
                                    <bold>Work activity</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Satured MIMIC</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.993</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.993</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.09</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.074</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle"/>
                                <td align="left" colspan="1" rowspan="1" valign="middle"/>
                                <td align="left" colspan="1" rowspan="1" valign="middle"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Invariant intercept MIMIC</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.994</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.991</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.101</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.074</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.002</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.011</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>CFI = comparative fit Index, TLI = Tucker-Lewis index, SRMR = standardized root mean squared residual, RMSEA = root mean squared error of approximation, &#x0394; = difference.</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec14">
                <title>Validity based on the relationship with other variables</title>
                <p>Using the Spearman correlation coefficient, it was found that the WAST scores were related to the PHQ-9 (Rho = 0.620; p = 0.00) and GAD-7 (Rho = 0.634; p = 0.00) with a direct relationship and a strong relationship strength Rho &gt; 0.5. This indicates that higher WAST score, the higher the scores on the PHQ-9 and GAD-7 measures, which confirms external validity (
                    <xref ref-type="table" rid="T5">Table 5</xref>).</p>
                <table-wrap id="T5" orientation="portrait" position="float">
                    <label>Table 5. </label>
                    <caption>
                        <title>Spearman's Correlation between WAST, PHQ-9, and GAD-7 in Peruvian Adult Women.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top"/>
                                <th align="left" colspan="2" rowspan="1" valign="top">WAST</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Rho</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">p</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">PHQ-9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.620
                                    <xref ref-type="table-fn" rid="tfn1">
                                        <sup>**</sup>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">GAD-7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.634
                                    <xref ref-type="table-fn" rid="tfn1">
                                        <sup>**</sup>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn-group content-type="footnotes">
                            <fn id="tfn1">
                                <label>**</label>
                                <p>Correlation is significant at the 0.01 level. PHQ-9 = Patient Health Questionnaire-9 GAD-7 = General Anxiety Disorder-7.</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec15">
                <title>Reliability</title>
                <p>The reliability of the Woman Abuse Screening Tool (WAST) was high, reporting internal consistency coefficients of &#x03b1; = 0.899 and &#x03c9; = 0.916 as optimal, based on which the instrument is considered accurate in measuring intimate partner violence (
                    <xref ref-type="table" rid="T2">Table 2</xref>).</p>
            </sec>
        </sec>
        <sec id="sec16" sec-type="discussion">
            <title>Discussion</title>
            <p>The WAST in Peruvian adult women reported validity in its factor structure, giving a one-dimensional model, and was also consistent in its invariance by age, place of residence, educational level, years of cohabitation and work activity that provides confidence, where measurements in these groups do not vary and that measures indicators of intimate partner violence and not group differences. Furthermore, the evidence confirms optimal reliability.</p>
            <sec id="sec17">
                <title>Validity of the internal structure</title>
                <p>A confirmatory analysis was used for internal validity, where a one-dimensional model reported a good fit, considering the CFI and TLI with values &gt; 0.95 and the RMSEA and SRMR with values &lt; 0.08; in the case of the RMSEA it turned out to be moderately adequate. These results are similar to a study conducted in Peruvian university students where it was also found to be unifactorial and with similar indices (&#x03c7;
                    <sup>2</sup> = 48.037; GFI = 0.997; CFI = 0.994; TLI = 0.992; SRMR = 0.049; RMSEA = 0.058).
                    <sup>
                        <xref ref-type="bibr" rid="ref11">11</xref>
                    </sup> Overall, the goodness-of-fit indices support the validity of the internal structure of the WAST in Peruvian adult women. However, the error rate, such as the root mean square error of approximation (RMSEA), was above the acceptance threshold, which could be due to the sample size, since mostly women with lower indicators of intimate partner violence were included.
                    <sup>
                        <xref ref-type="bibr" rid="ref26">26</xref>
                    </sup> This could be overcome in a future study by including a proportionate number of adult women who have experienced violence compared to those who were not victims.</p>
            </sec>
            <sec id="sec18">
                <title>Measurement invariance</title>
                <p>Our findings support that the WAST shows measurement invariance across groups of women with differences in age, place of residence, education, years of cohabitation and work activity. This is mainly due to the fact that the values of the difference indices such as the comparative fit index and the root mean squared error of approximation, resulted in expected values (&lt; 0.01) for an adequate adjustment for the characterisation variables analysed at all levels of invariance up to strict invariance.
                    <sup>
                        <xref ref-type="bibr" rid="ref26">26</xref>
                    </sup> This study would be the first to report the invariance of the instrument, as previous studies focused more on other aspects of its validity.
                    <sup>
                        <xref ref-type="bibr" rid="ref27">27</xref>
                    </sup> This finding suggests a quality of the WAST in assessing indicators of intimate partner violence in subgroups of women which supports the usefulness and generalizability of the WAST
                    <sup>
                        <xref ref-type="bibr" rid="ref28">28</xref>
                    </sup> as a screening instrument for clinical use and further research in adult Peruvian women.</p>
            </sec>
            <sec id="sec19">
                <title>Reliability</title>
                <p>Regarding the reliability of the WAST in Peruvian women, the results showed adequate scores on Cronbach&#x2019;s alpha and McDonald&#x2019;s Omega coefficients. Such strong internal consistency guarantees an accurate measurement of intimate partner violence taken from the same factor loadings by means of McDonald&#x2019;s Omega.
                    <sup>
                        <xref ref-type="bibr" rid="ref20">20</xref>
                    </sup> Likewise, previous studies reported similar results. For example, a study conducted in a Canadian population reported an alpha coefficient of &#x03b1; = 0.75,
                    <sup>
                        <xref ref-type="bibr" rid="ref8">8</xref>
                    </sup> while in in the United States, the alpha coefficients were &#x03b1; = 0.78 in English and &#x03b1; = 0.80 in Spanish.
                    <sup>
                        <xref ref-type="bibr" rid="ref29">29</xref>
                    </sup> In a Chilean population, the reliability coefficient was &#x03b1; = 0.92,
                    <sup>
                        <xref ref-type="bibr" rid="ref10">10</xref>
                    </sup> in Indonesia &#x03b1; = 0.801,
                    <sup>
                        <xref ref-type="bibr" rid="ref9">9</xref>
                    </sup> while in the French population it was solidly reliable &#x03b1; = 0.95,
                    <sup>
                        <xref ref-type="bibr" rid="ref7">7</xref>
                    </sup> and finally a study with Peruvian university women reported an optimal reliability &#x03b1; = 0.86 and &#x03c9; = 0.90.
                    <sup>
                        <xref ref-type="bibr" rid="ref11">11</xref>
                    </sup> Therefore, despite having a different culture in each country, it was observed that the WAST measures have similar internal consistency, which provides strong evidence of cross-cultural internal consistency.</p>
            </sec>
            <sec id="sec20">
                <title>Validity based on the relationship with other variables</title>
                <p>Using Spearman&#x2019;s correlation coefficient, it was found that the WAST scores were correlated to the PHQ-9 and GAD-7 scores with an adequate coefficient (Rho &gt; 0.50), so it can be assumed to have external validity. Our finding is similar to a study by Brown 
                    <italic toggle="yes">et al.</italic> (2000) who analysed results of the WAST and the ARI in London, Ontario, Canada and its surroundings (risk inventory) where adequate correlation coefficients were also reported (r = 0.69, p = 0.1). Similarly, a study in Hong Kong, China showed a significant correlation with anxiety (r = 0.34, p &lt; 0.00) and depression (r = 0.30, p &lt; 0.000).
                    <sup>
                        <xref ref-type="bibr" rid="ref30">30</xref>
                    </sup> It is therefore possible that further studies could use it to study intimate partner violence even in populations suffering from anxiety and depression in addition to other possible variables.</p>
            </sec>
            <sec id="sec21">
                <title>Public health relevance</title>
                <p>The Woman Abuse Screening Tool (WAST) is one of the most widely used instruments in primary health care in different parts of the world for the early detection of cases of intimate partner violence due to its easy scoring based on its eight items (where the higher the score, the greater the presence of intimate partner violence).
                    <sup>
                        <xref ref-type="bibr" rid="ref31">31</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref32">32</xref>
                    </sup> Therefore, in Peru, the Ministry of Health could implement it as a screening tool in primary health care and community mental health centres.</p>
            </sec>
            <sec id="sec22">
                <title>Limitations and strengths</title>
                <p>It is important to state some limitations of the study, one of them is the type of sampling, as the findings are not generalisable, but the results are valid for the population studied. In addition, the collection was carried out in places with higher traffic of people, so it is possible that in areas with little traffic the results would be different; however, this does not detract from the importance and scientific value of the data analysed.</p>
            </sec>
        </sec>
        <sec id="sec23" sec-type="conclusions">
            <title>Conclusions</title>
            <p>The scientific evidence supports a unifactorial model of the WAST and the invariance of measurement allows reliable comparisons by age, years of cohabitation, education level, place of residence and work activity; therefore, its use in the population of Peruvian adult women in clinical practice and future research is recommended.</p>
        </sec>
    </body>
    <back>
        <sec id="sec26" sec-type="data-availability">
            <title>Data availability</title>
            <sec id="sec27">
                <title>Underlying data</title>
                <p>Zenodo: Supplementary documents of the WAST study in Peruvian adult women, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.8247178">https://doi.org/10.5281/zenodo.8247178</ext-link>.
                    <xref ref-type="bibr" rid="ref33">

                        <sup>33</sup>
                    </xref>
                </p>
                <p>This project contains the xlsx data file.</p>
            </sec>
            <sec id="sec28">
                <title>Extended data</title>
                <p>Zenodo: Supplementary documents of the WAST study in Peruvian adult women, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.8247178">https://doi.org/10.5281/zenodo.8247178</ext-link>.
                    <xref ref-type="bibr" rid="ref33">

                        <sup>33</sup>
                    </xref>
                </p>
                <p>This project contains the translated WAST screening tool, as well as the questions given to the expert reviewers.</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="other">
                    <article-title>Manual metodol&#x00f3;gico de capacitaciones pre y post inserci&#x00f3;n laboral y seguimiento de las mujeres sobrevivientes de violencia de g&#x00e9;nero.</article-title>
                    <year>[cited 16 May 2023]</year>.
                    <ext-link ext-link-type="uri" xlink:href="https://www.gob.pe/institucion/mimp/informes-publicaciones/4119784-manual-metodologico-de-capacitaciones-pre-y-post-insercion-laboral-y-seguimiento-de-las-mujeres-sobrevivientes-de-violencia-de-genero">Reference Source</ext-link>
                </mixed-citation>
            </ref>
            <ref id="ref2">
                <label>2</label>
                <mixed-citation publication-type="book">
                    <collab>European Institute for Gender Equality</collab>:
                    <source>

                        <italic toggle="yes">Covid-19 wave of violence against women shows EU countries still lack proper safeguards.</italic>
</source>
                    <publisher-name>European Institute for Gender Equality</publisher-name>;<year>2020 [cited 17 May 2023]</year>.
                    <ext-link ext-link-type="uri" xlink:href="https://eige.europa.eu/news/covid-19-wave-violence-against-women-shows-eu-countries-still-lack-proper-safeguards">Reference Source</ext-link>
                </mixed-citation>
            </ref>
            <ref id="ref3">
                <label>3</label>
                <mixed-citation publication-type="book">
                    <source>

                        <italic toggle="yes">La violencia contra la mujer es omnipresente y devastadora: la sufren una de cada tres mujeres - OPS/OMS.</italic>
</source>
                    <publisher-name>Organizaci&#x00f3;n Panamericana de la Salud</publisher-name>;<year>[cited 17 May 2023]</year>.
                    <ext-link ext-link-type="uri" xlink:href="https://www.paho.org/es/noticias/9-3-2021-violencia-contra-mujer-es-omnipresente-devastadora-sufren-cada-tres-mujeres">Reference Source</ext-link>
                </mixed-citation>
            </ref>
            <ref id="ref4">
                <label>4</label>
                <mixed-citation publication-type="other">
                    <collab>Ministerio de la Mujer y Poblaciones Vulnerables</collab>:
                    <source>

                        <italic toggle="yes">Estadisticas atencion a la violencia.</italic>
</source>
                    <year>[cited 17 May 2023]</year>.
                    <ext-link ext-link-type="uri" xlink:href="https://www.mimp.gob.pe/omep/estadisticas-atencion-a-la-violencia.php">Reference Source</ext-link>
                </mixed-citation>
            </ref>
            <ref id="ref5">
                <label>5</label>
                <mixed-citation publication-type="book">
                    <collab>ONU Mujeres</collab>:
                    <source>

                        <italic toggle="yes">Intensificaci&#x00f3;n de los esfuerzos mundiales para la eliminaci&#x00f3;n de la mutilaci&#x00f3;n genital femenina: Informe del Secretario General (2022).</italic>
</source>
                    <publisher-name>ONU Mujeres</publisher-name>;<year>2022 [cited 17 May 2023]</year>.
                    <ext-link ext-link-type="uri" xlink:href="https://www.unwomen.org/es/digital-library/publications/2022/10/intensificacion-de-los-esfuerzos-mundiales-para-la-eliminacion-de-la-mutilacion-genital-femenina-informe-del-secretario-general-2022">Reference Source</ext-link>
                </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>Rabin</surname>
                            <given-names>RF</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Jennings</surname>
                            <given-names>JM</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Campbell</surname>
                            <given-names>JC</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Intimate Partner Violence Screening Tools.</article-title>
                    <source>

                        <italic toggle="yes">Am. J. Prev. Med.</italic>
</source>
                    <year>May 2009</year>;<volume>36</volume>(<issue>5</issue>):<fpage>439</fpage>&#x2013;<lpage>445.e4</lpage>.
                    <pub-id pub-id-type="pmid">19362697</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.amepre.2009.01.024</pub-id>
                    <pub-id pub-id-type="pmcid">PMC2688958</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref7">
                <label>7</label>
                <mixed-citation publication-type="other">
                    <article-title>Validation of the French Women Abuse Screening Tool to routinely identify intimate partner violence - PubMed.</article-title>
                    <year>[cited 17 May 2023]</year>.
                    <ext-link ext-link-type="uri" xlink:href="https://pubmed.ncbi.nlm.nih.gov/34417819/">Reference Source</ext-link>
                </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>Brown</surname>
                            <given-names>JB</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Lent</surname>
                            <given-names>B</given-names>
                        </name>

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

                        <etal/>
</person-group>:
                    <article-title>Application of the Woman Abuse Screening Tool (WAST) and WAST-short in the family practice setting.</article-title>
                    <source>

                        <italic toggle="yes">J. Fam. Pract. octubre de.</italic>
</source>
                    <year>2000</year>;<volume>49</volume>(<issue>10</issue>):<fpage>896</fpage>&#x2013;<lpage>903</lpage>.</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>Iskandar</surname>
                            <given-names>L</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Braun</surname>
                            <given-names>KL</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Katz</surname>
                            <given-names>AR</given-names>
                        </name>
</person-group>:
                    <article-title>Testing the Woman Abuse Screening Tool to Identify Intimate Partner Violence in Indonesia.</article-title>
                    <source>

                        <italic toggle="yes">J. Interpers. Violence.</italic>
</source>
                    <year>1 April 2015</year>;<volume>30</volume>(<issue>7</issue>):<fpage>1208</fpage>&#x2013;<lpage>1225</lpage>.
                    <pub-id pub-id-type="pmid">25012952</pub-id>
                    <pub-id pub-id-type="doi">10.1177/0886260514539844</pub-id>
                    <pub-id pub-id-type="pmcid">PMC4697266</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>Binfa</surname>
                            <given-names>L</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Cancino</surname>
                            <given-names>V</given-names>
                        </name>

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

                        <etal/>
</person-group>:
                    <article-title>Cultural adaptation and translation of the Woman Abuse Screening Tool.</article-title>
                    <source>

                        <italic toggle="yes">Rev. M&#x00e9;dica Chile.</italic>
</source>
                    <year>March 2018</year>;<volume>146</volume>(<issue>3</issue>):<fpage>331</fpage>&#x2013;<lpage>340</lpage>.
                    <pub-id pub-id-type="pmid">29999103</pub-id>
                    <pub-id pub-id-type="doi">10.4067/s0034-98872018000300331</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>Cjuno</surname>
                            <given-names>J</given-names>
                        </name>

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

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

                        <etal/>
</person-group>:
                    <article-title>Adaptation and validation of the woman abuse screening tool (WAST) in peruvian university students.</article-title>
                    <source>

                        <italic toggle="yes">Arch. Venez. Farmacol. Ter.</italic>
</source>
                    <year>22 October 2022</year>;<volume>41</volume>(<issue>6</issue>).
                    <pub-id pub-id-type="doi">10.5281/zenodo.7225831</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>Brown</surname>
                            <given-names>JB</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Lent</surname>
                            <given-names>B</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Brett</surname>
                            <given-names>PJ</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Development of the Woman Abuse Screening Tool for use in family practice.</article-title>
                    <source>

                        <italic toggle="yes">Fam. Med. junio de.</italic>
</source>
                    <year>1996</year>;<volume>28</volume>(<issue>6</issue>):<fpage>422</fpage>&#x2013;<lpage>428</lpage>.</mixed-citation>
            </ref>
            <ref id="ref13">
                <label>13</label>
                <mixed-citation publication-type="other">
                    <collab>American Psychiatric Association</collab>:
                    <source>

                        <italic toggle="yes">The Diagnostic and Statistical Manual of Mental Disorders.</italic>
</source>
                    <edition>Fouth Edition. Text Revision (DSM-4) ed.</edition>
                    <year>2013 [cited 13 July 2022]</year>.
                    <ext-link ext-link-type="uri" xlink:href="https://psychiatry.org:443/psychiatrists/practice/dsm">Reference Source</ext-link>
                </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>Villarreal-Zegarra</surname>
                            <given-names>D</given-names>
                        </name>

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

                        <name name-style="western">
                            <surname>Bernab&#x00e9;-Ortiz</surname>
                            <given-names>A</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Valid group comparisons can be made with the Patient Health Questionnaire (PHQ-9): A measurement invariance study across groups by demographic characteristics.</article-title>
                    <source>

                        <italic toggle="yes">PLoS One.</italic>
</source>
                    <year>9 September 2019 [cited 31 December 2021]</year>;<volume>14</volume>(<issue>9</issue>):<fpage>e0221717</fpage>.
                    <pub-id pub-id-type="pmid">31498796</pub-id>
                    <pub-id pub-id-type="doi">10.1371/journal.pone.0221717</pub-id>
                    <pub-id pub-id-type="pmcid">PMC6733536</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>Franco-Jimenez</surname>
                            <given-names>RA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Nu&#x00f1;ez-Magallanes</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Franco-Jimenez</surname>
                            <given-names>RA</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Propiedades psicom&#x00e9;tricas del GAD-7, GAD-2 y GAD-Mini en universitarios peruanos.</article-title>
                    <source>

                        <italic toggle="yes">Prop&#x00f3;sitos Represent.</italic>
</source>
                    <year>22 April 2022 [cited 8 June 2023]</year>;<volume>10</volume>(<issue>1</issue>).
                    <pub-id pub-id-type="doi">10.20511/pyr2022.v10n1.1437</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref16">
                <label>16</label>
                <mixed-citation publication-type="book">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Brown</surname>
                            <given-names>TA</given-names>
                        </name>
</person-group>:
                    <source>

                        <italic toggle="yes">Confirmatory Factor Analysis for Applied Research.</italic>
</source>
                    <publisher-name>Guilford Publications</publisher-name>;
                    <edition>Second ed.</edition>
                    <year>2015</year>; p.<fpage>482</fpage>.</mixed-citation>
            </ref>
            <ref id="ref17">
                <label>17</label>
                <mixed-citation publication-type="book">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Widaman</surname>
                            <given-names>KF</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Reise</surname>
                            <given-names>SP</given-names>
                        </name>
</person-group>:
                    <source>

                        <italic toggle="yes">Exploring the measurement invariance of psychological instruments: Applications in the substance use domain. En: The science of prevention: Methodological advances from alcohol and substance abuse research.</italic>
</source>
                    <publisher-loc>Washington, DC, US</publisher-loc>:
                    <publisher-name>American Psychological Association</publisher-name>;<year>1997</year>; pp.<fpage>281</fpage>&#x2013;<lpage>324</lpage>.
                    <pub-id pub-id-type="doi">10.1037/10222-009</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>Kim</surname>
                            <given-names>ES</given-names>
                        </name>

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

                        <name name-style="western">
                            <surname>Lee</surname>
                            <given-names>T</given-names>
                        </name>
</person-group>:
                    <article-title>Testing Measurement Invariance Using MIMIC: Likelihood Ratio Test With a Critical Value Adjustment.</article-title>
                    <source>

                        <italic toggle="yes">Educ. Psychol. Meas.</italic>
</source>
                    <year>1 June 2012</year>;<volume>72</volume>(<issue>3</issue>):<fpage>469</fpage>&#x2013;<lpage>492</lpage>.
                    <pub-id pub-id-type="doi">10.1177/0013164411427395</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>Dom&#x00ed;nguez-Lara</surname>
                            <given-names>SA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Merino-Soto</surname>
                            <given-names>C</given-names>
                        </name>
</person-group>:
                    <article-title>&#x00bf;Por qu&#x00e9; es importante reportar los intervalos de confianza del coeficiente alfa de Cronbach?</article-title>
                    <source>

                        <italic toggle="yes">Rev Latinoam Cienc Soc Ni&#x00f1;ez Juv.</italic>
</source>
                    <year>2015</year>;<volume>13</volume>(<issue>2</issue>):<fpage>1326</fpage>&#x2013;<lpage>1328</lpage>.</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>Viladrich</surname>
                            <given-names>C</given-names>
                        </name>

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

                        <name name-style="western">
                            <surname>Doval</surname>
                            <given-names>E</given-names>
                        </name>
</person-group>:
                    <article-title>Un viaje alrededor de alfa y omega para estimar la fiabilidad de consistencia interna.</article-title>
                    <source>

                        <italic toggle="yes">An. Psicol. Ann. Psychol.</italic>
</source>
                    <year>21 July 2017</year>;<volume>33</volume>(<issue>3</issue>):<fpage>755</fpage>&#x2013;<lpage>782</lpage>.
                    <pub-id pub-id-type="doi">10.6018/analesps.33.3.268401</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>Rosseel</surname>
                            <given-names>Y</given-names>
                        </name>
</person-group>:
                    <article-title>lavaan: An R Package for Structural Equation Modeling.</article-title>
                    <source>

                        <italic toggle="yes">J. Stat. Softw.</italic>
</source>
                    <year>24 May 2012</year>;<volume>48</volume>(<issue>2</issue>):<fpage>1</fpage>&#x2013;<lpage>36</lpage>.
                    <pub-id pub-id-type="doi">10.18637/jss.v048.i02</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>Oberski</surname>
                            <given-names>D</given-names>
                        </name>
</person-group>:
                    <article-title>lavaan.survey: An R Package for Complex Survey Analysis of Structural Equation Models.</article-title>
                    <source>

                        <italic toggle="yes">J. Stat. Softw.</italic>
</source>
                    <year>13 March 2014</year>;<volume>57</volume>(<issue>1</issue>):<fpage>1</fpage>&#x2013;<lpage>27</lpage>.
                    <pub-id pub-id-type="doi">10.18637/jss.v057.i01</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>Terrence</surname>
                            <given-names>DJ</given-names>
                        </name>
</person-group>:
                    <article-title>Useful Tools for Structural Equation Modeling.</article-title>
                    <source>

                        <italic toggle="yes">Multidiscip. J.</italic>
</source>
                    <year>14 October 2022 [cited 11 June 2023]</year>.
                    <ext-link ext-link-type="uri" xlink:href="https://cran.r-project.org/web/packages/semTools/semTools.pdf">Reference Source</ext-link>
                </mixed-citation>
            </ref>
            <ref id="ref24">
                <label>24</label>
                <mixed-citation publication-type="journal">
                    <article-title>semPlot: Unified Visualizations of Structural Equation Models.</article-title>
                    <source>

                        <italic toggle="yes">Struct. Equ. Model. Multidiscip. J.</italic>
</source>
                    <year>[cited 11 June 2023]</year>;<volume>22</volume>(<issue>3</issue>):<fpage>474</fpage>&#x2013;<lpage>483</lpage>.
                    <pub-id pub-id-type="doi">10.1080/10705511.2014.937847</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref25">
                <label>25</label>
                <mixed-citation publication-type="book">
                    <collab>Asociaci&#x00f3;n M&#x00e9;dica Mundial</collab>:
                    <source>

                        <italic toggle="yes">Declaraci&#x00f3;n de Helsinki de la AMM &#x2013; Principios &#x00e9;ticos para las investigaciones m&#x00e9;dicas en seres humanos &#x2013; WMA.</italic>
</source>
                    <publisher-name>The World Medical Association</publisher-name>;<year>2017 [cited 11 June 2023]</year>.
                    <ext-link ext-link-type="uri" xlink:href="https://www.wma.net/es/policies-post/declaracion-de-helsinki-de-la-amm-principios-eticos-para-las-investigaciones-medicas-en-seres-humanos/">Reference Source</ext-link>
                </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>Hu</surname>
                            <given-names>L</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Bentler</surname>
                            <given-names>PM</given-names>
                        </name>
</person-group>:
                    <article-title>Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives.</article-title>
                    <source>

                        <italic toggle="yes">Struct. Equ. Model. Multidiscip. J.</italic>
</source>
                    <year>1 January 1999</year>;<volume>6</volume>(<issue>1</issue>):<fpage>1</fpage>&#x2013;<lpage>55</lpage>.
                    <pub-id pub-id-type="doi">10.1080/10705519909540118</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref27">
                <label>27</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Vivilaki</surname>
                            <given-names>VG</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Dafermos</surname>
                            <given-names>V</given-names>
                        </name>

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

                        <etal/>
</person-group>:
                    <article-title>Identifying Intimate Partner Violence (IPV) during the postpartum period in a Greek sample.</article-title>
                    <source>

                        <italic toggle="yes">Arch. Womens Ment. Health.</italic>
</source>
                    <year>1 December 2010</year>;<volume>13</volume>(<issue>6</issue>):<fpage>467</fpage>&#x2013;<lpage>476</lpage>.
                    <pub-id pub-id-type="pmid">20306211</pub-id>
                    <pub-id pub-id-type="doi">10.1007/s00737-010-0155-5</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref28">
                <label>28</label>
                <mixed-citation publication-type="book">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Kline</surname>
                            <given-names>RB</given-names>
                        </name>
</person-group>:
                    <source>

                        <italic toggle="yes">Principles and Practice of Structural Equation Modeling.</italic>
</source>
                    <publisher-name>Guilford Publications</publisher-name>;<year>2023</year>; p.<fpage>514</fpage>.
                    <ext-link ext-link-type="uri" xlink:href="https://books.google.es/books?hl=es&amp;lr=&amp;id=t2CvEAAAQBAJ&amp;oi=fnd&amp;pg=PP1&amp;dq=Principles+and+Practice+of+Structural+Equation+Modeling&amp;ots=sVZFY1cZfH&amp;sig=QQM-Po8ds1IxejqnN7NAbJSz_ug#v=onepage&amp;q=Principles%20and%20Practice%20of%20Structural%20Equation%20Modeling&amp;f=false">Reference Source</ext-link>
                </mixed-citation>
            </ref>
            <ref id="ref29">
                <label>29</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Chen</surname>
                            <given-names>PH</given-names>
                        </name>

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

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

                        <etal/>
</person-group>:
                    <article-title>Screening for domestic violence in a predominantly Hispanic clinical setting.</article-title>
                    <source>

                        <italic toggle="yes">Fam. Pract.</italic>
</source>
                    <year>1 December 2005</year>;<volume>22</volume>(<issue>6</issue>):<fpage>617</fpage>&#x2013;<lpage>623</lpage>.
                    <pub-id pub-id-type="pmid">16055473</pub-id>
                    <pub-id pub-id-type="doi">10.1093/fampra/cmi075</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref30">
                <label>30</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Wong</surname>
                            <given-names>JYH</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Fong</surname>
                            <given-names>DYT</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Yau</surname>
                            <given-names>JHY</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Using the Woman Abuse Screening Tool to Screen for and Assess Dating Violence in College Students.</article-title>
                    <source>

                        <italic toggle="yes">Violence Women.</italic>
</source>
                    <year>1 July 2018</year>;<volume>24</volume>(<issue>9</issue>):<fpage>1039</fpage>&#x2013;<lpage>1051</lpage>.
                    <pub-id pub-id-type="pmid">29332540</pub-id>
                    <pub-id pub-id-type="doi">10.1177/1077801217731542</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref31">
                <label>31</label>
                <mixed-citation publication-type="journal">
                    <article-title>Intimate Partner Violence Screening Tools.</article-title>
                    <source>

                        <italic toggle="yes">Am. J. Prev. Med.</italic>
</source>
                    <year>2009 [cited 17 May 2023]</year>;<volume>36</volume>:<fpage>439</fpage>&#x2013;<lpage>445.e4</lpage>.
                    <pub-id pub-id-type="pmid">19362697</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.amepre.2009.01.024</pub-id>
                    <pub-id pub-id-type="pmcid">PMC2688958</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref32">
                <label>32</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Arkins</surname>
                            <given-names>B</given-names>
                        </name>

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

                        <name name-style="western">
                            <surname>Higgins</surname>
                            <given-names>A</given-names>
                        </name>
</person-group>:
                    <article-title>Measures for screening for intimate partner violence: a systematic review.</article-title>
                    <source>

                        <italic toggle="yes">J. Psychiatr. Ment. Health Nurs.</italic>
</source>
                    <year>2016</year>;<volume>23</volume>(<issue>3-4</issue>):<fpage>217</fpage>&#x2013;<lpage>235</lpage>.
                    <pub-id pub-id-type="doi">10.1111/jpm.12289</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref33">
                <label>33</label>
                <mixed-citation publication-type="data">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Cjuno</surname>
                            <given-names>J</given-names>
                        </name>
</person-group>:
                    <data-title>Supplementary documents of the WAST study in Peruvian adult women.</data-title>[Dataset].
                    <source>

                        <italic toggle="yes">Zenodo.</italic>
</source>
                    <year>2023</year>.
                    <pub-id pub-id-type="doi">10.5281/zenodo.8247178</pub-id>
                </mixed-citation>
            </ref>
        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report230461">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.152990.r230461</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Hidalgo-Rasmussen</surname>
                        <given-names>Carlos Alejandro</given-names>
                    </name>
                    <xref ref-type="aff" rid="r230461a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-5287-2076</uri>
                </contrib>
                <aff id="r230461a1">
                    <label>1</label>Universidad de Guadalajara, Guadalajara, Jalisco, Mexico</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>19</day>
                <month>1</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Hidalgo-Rasmussen CA</copyright-statement>
                <copyright-year>2024</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="relatedArticleReport230461" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.139693.1"/>
            <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>This is a straightforward manuscript, reported clearly. However, the criteria used for RMSEA are lenient, considering .08 instead of .05, even when citing Viladrich, who states: 'In general, for the model to be considered appropriate, the values of CFI and TLI should be greater than .95, and those of RMSEA should be less than .05.'</p>
            <p> Additionally, confidence intervals for RMSEA are not reported.</p>
            <p> It is also requested, in addition to the above two points, that the authors report in a table the polychoric correlation matrix. Furthermore, since they performed the translation into Spanish, it is expected that the process is reported, including the content of the original items in English, the translation in Spanish, and the issues that arose in the process.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>risk behaviors and quality of life</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>
        <back>
            <ref-list>
                <title>References</title>
                <ref id="rep-ref-230461-1">
                    <label>1</label>
                    <mixed-citation publication-type="journal">
                        <person-group person-group-type="author"/>:
                        <article-title>[Screening for violence against women. Validation and feasibility studies of a French screening tool].</article-title>
                        <source>
                            <italic>Can Fam Physician</italic>
                        </source>.<year>2001</year>;<volume>47</volume>:<fpage>988</fpage>-<lpage>95</lpage>
                        <pub-id pub-id-type="pmid">11398732</pub-id>
                    </mixed-citation>
                </ref>
                <ref id="rep-ref-230461-2">
                    <label>2</label>
                    <mixed-citation publication-type="journal">
                        <person-group person-group-type="author"/>:
                        <article-title>Screening for abuse in Spanish-speaking women.</article-title>
                        <source>
                            <italic>J Am Board Fam Pract</italic>
                        </source>.<year>2002</year>;<volume>15</volume>(<issue>2</issue>) :<fpage>101</fpage>-<lpage>11</lpage>
                        <pub-id pub-id-type="pmid">12002193</pub-id>
                    </mixed-citation>
                </ref>
            </ref-list>
        </back>
    </sub-article>
</article>
