<?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="brief-report" 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.147172.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Brief Report</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Psychometric characteristics of individuals&#x2019; intention to engage in philanthropic activities measure: An early development and tryout</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 not approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Ulza</surname>
                        <given-names>Emaridial</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/">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/0000-0003-3293-3617</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>Kuncoro</surname>
                        <given-names>Engkos Achmad</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</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/">Validation</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>Furinto</surname>
                        <given-names>Asnan</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</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/">Validation</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>Mariani</surname>
                        <given-names>Minsani</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</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/">Validation</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>Doctor of Research in Management (DRM) Program BINUS Business School, BINUS University, West Jakarta, Jakarta, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:emaridial.ulza@binus.ac.id">emaridial.ulza@binus.ac.id</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>26</day>
                <month>4</month>
                <year>2024</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2024</year>
            </pub-date>
            <volume>13</volume>
            <elocation-id>408</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>15</day>
                    <month>4</month>
                    <year>2024</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Ulza E et al.</copyright-statement>
                <copyright-year>2024</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/13-408/pdf"/>
            <abstract>
                <p>This brief article reports on the psychometric characteristics of the early development of individuals&#x2019; intention to engage in philanthropic activities questionnaire. In the innitial stage of development, the questionnaire was tried out by administering it online to a targeted sample. Out of 63 sample participants completing the questionnaire, only 43 data were appropriate for further analysis using the Rasch model. While the overall scale of the questionnaire suggested multidimensionality, subscales aligned with unidimensionality criteria. Acceptable reliability was observed in the overall scale and the Funding Philanthropic Brand Trust (FPBT) subscale, contrasting with inadequate reliability in the Philanthropic Brand Preference (PBP) and Pride of Affiliation (PoA) subscales, warranting further investigation. Specific items like Q17, Q31, Q42, and Q44 posed challenges, indicating difficulties in discussing social issues, cultural conformity in donations, valuing recognition, and seeking community support in philanthropy. Differential Item Functioning (DIF) analysis revealed demographic variations in responses, indicating diverse agreement levels based on age, gender, and education. These findings offer crucial insights for refining future questionnaire iterations, highlighting the need for a second round of development to address these limitations, with an expanded sample size to ensure robustness.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Philanthropy</kwd>
                <kwd>psychometric characteristics</kwd>
                <kwd>questionnaire development</kwd>
                <kwd>Rasch model</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>Research has highlighted the significance impact of corporate philanthropy and community wealth groups for society. Prior investigations have mainly focused on corporate philanthropy&#x2019;s impact on trade credit financing (
                <xref ref-type="bibr" rid="ref8">Liao, 2020</xref>; 
                <xref ref-type="bibr" rid="ref14">Yang et al., 2019</xref>) and firm reputation (
                <xref ref-type="bibr" rid="ref1">Brammer &amp; Millington, 2005</xref>), with less attention to personal motivations for philanthropic involvement. To bridge this gap, a preliminary study within a broader doctoral research project analyzed factors that drive individuals to participate in philanthropy. A survey questionnaire capturing the propensity for philanthropic engagement was developed and administered to a select group of samples. The psychometric properties of the survey questionnaire were evaluated using Rasch model analyses, encompassing tests of dimensionality, reliability, and item bias. This initial exploration serves as an important first step in understanding the complex factors that influence individuals&#x2019; intention to engage in philanthropy, and provides insights for further investigation in the larger doctoral research project.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <p>In the current preliminary study, we developed a questionnaire to measure individuals&#x2019; intention to engagement in philanthropic activities measure. The questionnaire contained 44 items and was developed using a five-point Likert scale. Those 44 items were developed using six constructs, including six items of Key Opinion Leader (KOL), eleven items of Word of Mouth (WoM), six items of Funding Philanthropic Brand Trust (FPBT), eight items of Philanthropic Intention (PI), five items of Philanthropic Brand Preference (PBP) and finally, eight items of Pride of Affiliation (PoA). The questionnaire was developed and administered to targeted samples. A total of 63 raw samples were recorded. Then, the collected data was converted into Excel format for analysis using WINSTEP to identify any outliers or invalid data. After the screening process, there were 45 responses remains to be analyzed, consisting 30 participants within range of 11-26 years old and 15 participants within range of 27-42 years old. Further Rasch modelling analysis were performed to the remaining data, including dimensionality analysis, reliability of the questionnaire, Wright map analysis, and potential item bias.</p>
        </sec>
        <sec id="sec3">
            <title>Findings</title>
            <sec id="sec4">
                <title>The analysis of dimensionality</title>
                <p>The unidimensionality of the questionnaire was evaluated through the use of Rasch Principal Component Analysis (PCA) to scrutinize the overall scale as well as the distinct subscales. Unidimensionality refers to the extent to which items in the instrument measure a single construct (
                    <xref ref-type="bibr" rid="ref3">DiStefano &amp; Jiang, 2020</xref>; 
                    <xref ref-type="bibr" rid="ref5">Khine, 2020</xref>; 
                    <xref ref-type="bibr" rid="ref11">Ningsih et al., 2021</xref>). Moreover, an examination of the raw variances revealed how each subscale aligned with unidimensionality criteria: the Global scale demonstrated 48.0%, the Key Opinion Leader (KOL) subscale 54.2%, Word of Mouth (WoM) 44.5%, Funding Philanthropic Brand Trust (FPBT) 60.8%, Philanthropic Intention (PI) 52.8%, Philanthropic Brand Preference (PBP) 57.2%, and Pride of Affiliation (PoA) 56.4%. The PCA analysis determined that the global scale and FPBT calculated eigenvalues of 4.6 and 2.7 logits respectively, surpassing the 2.0 logits threshold. These results suggest that the global scale could comprise multiple dimensions that extend beyond a single construct. Conversely, eigenvalues of 2.0 logits or less for the subscales suggested a reflection of unidimensionality within the subscale items.</p>
            </sec>
            <sec id="sec5">
                <title>Item and person separation reliability</title>
                <p>The reliability analysis indicated that the global scale&#x2019;s item separation reliability was recorded at 0.77 logit, which is below the accepted standard of 0.80. Similarly, KOL and WoM scales yielded reliabilities of 0.77 logit and 0.79 logit, respectively. These findings indicate that the reliablity of both scales shown at minimum levels. On the other hand, the FPBT scale displayed a reliability of 0.80 logit, which is considered acceptable, while the PI scale showed a reliability of 0.85 logit, classifying it as good. In contrast, the PBP and PoA scales scored lower with reliabilities of 0.57 logit and 0.35 logit, respectively, indicating that both were not reliable. Furthermore, the analysis revealed that the global scale had an item separation index of 1.85 logit, while the KOL and WoM scales were close, with indices of 1.81 logit and 1.92 logit, respectively. The FPBT scale had a separation index of 1.99 logit, and the PI scale outperformed with 2.35 logit. Although these indices suggest a differentiation into three levels of item difficulty for these scales, the PBP scale&#x2019;s index at 1.15 logit implies the possibility of only two difficulty levels, and the PoA scale&#x2019;s index of 0.73 logit indicates a single level of difficulty. Overall, the separation indices of the global scale and the various subscales did not surpass the 3 logit threshold, suggesting shortcomings in their ability to differentiate item difficulty effectively. These results highlight the need for further review and potential revision of these scales to enhance their reliability and discriminative capacity.</p>
            </sec>
            <sec id="sec6">
                <title>Item and person mapping</title>
                <p>Wright Maps are utilized to assess the distribution of individuals&#x2019; proficiency levels and the difficulty levels of items on a common scale. 
                    <xref ref-type="fig" rid="f1">Figure 1</xref> illustrates the distribution of agreement levels for items and persons. The left side of the map illustrates the distribution of persons&#x2019; measured proficiency levels, while the right side shows the distribution of item difficulty levels, organized from the most agreed item to the most disagreed item. As suggested by 
                    <xref ref-type="bibr" rid="ref12">Rusland et al., (2020)</xref>, logit data falling within the range from the Mean (M) to one standard deviation below the mean (S) are considered to represent a moderate level of agreement. Data points above M indicate a higher level of agreement, whereas data below S are categorized as reflecting a lower level of agreement.</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>Item and person Wright map.</title>
                        <p>M: Moderate Level; Mp: person mean; Sp: one standard deviation of person mean; Tp: two standard deviation of person mean; Mi: item mean; Si: one standard deviation of item; Ti: two standard deviation of item mean.</p>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/161332/228399fd-8325-4998-8c80-aaa9f7fcee92_figure1.gif"/>
                </fig>
                <p>
                    <xref ref-type="fig" rid="f1">Figure 1</xref> illustrates that participants struggled with certain questions, such as Q17, Q31, Q42, and Q44, suggesting a reluctance to discuss social issues and online donations. This difficulty may point to a preference for adhering to cultural norms and valuing recognition and support from their community in donation decisions. However, the study found broad agreement on questions related to KoL, especially Q2 and Q4. Participants viewed KoL as compelling figures in the philanthropic sector and trusted their influence on donation behaviors. The survey also revealed strong affirmative responses to questions about the effectiveness of WoM, including the impact of personal discussions and stories about donations (Q12 and Q13) and the utility of donation information for social issues (Q9). Furthermore, agreement was evident on items tied to FPBT, demonstrating a belief in technology&#x2019;s ability to facilitate donations (Q22) and trust in charities working for the public interest (Q18). Responses to PI items showed a strong endorsement of donating as an ethical obligation (Q28), a focus on the ethical credibility of organizations when giving (Q24), and alignment of donations with personal moral values (Q25). Such agreement highlights the importance of ethics in driving donation decisions. Finally, participants agreed on items associated with PBP and PoA, displaying a preference for well-regarded charities (Q33) and pride in affiliating with their chosen organizations (Q38). These attitudes reflect the importance of charity credibility and the personal satisfaction that motivates philanthropic actions for the good of society.</p>
            </sec>
            <sec id="sec7">
                <title>Item bias</title>
                <p>The analysis of Differential Item Functioning (DIF) using Rasch-Welch tests was conducted to assess the potential presence of item biases attributed to demographic variables (
                    <xref ref-type="bibr" rid="ref4">Huang et al., 2020</xref>; 
                    <xref ref-type="bibr" rid="ref7">Lee et al., 2020</xref>; 
                    <xref ref-type="bibr" rid="ref11">Ningsih et al., 2021</xref>; 
                    <xref ref-type="bibr" rid="ref15">Zulaiha &amp; Mulyono, 2020</xref>). DIF was determined when the DIF contrast value, representing the difference in item difficulty, exceeded 0.5 logits and was statistically significant (Rasch-Welch probability value &lt; 0.05) (
                    <xref ref-type="bibr" rid="ref2">Chan &amp; Subramaniam, 2020</xref>; 
                    <xref ref-type="bibr" rid="ref6">Kreijns et al., 2020</xref>; 
                    <xref ref-type="bibr" rid="ref9">Linacre, 2018</xref>; 
                    <xref ref-type="bibr" rid="ref10">Mulyono et al., 2020</xref>; 
                    <xref ref-type="bibr" rid="ref13">Suryoputro et al., 2023</xref>) Evaluation of DIF among participants&#x2019; demographic characteristics revealed that several items exhibited statistically significant DIF concerning participants&#x2019; age, gender, and educational background (see 
                    <xref ref-type="table" rid="T1">Table 1</xref>).</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>Table 1. </label>
                    <caption>
                        <title>DIF analysis result.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Item</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Age</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">DIF measure</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">DIF contrast</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">t</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Probability</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">Q26</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">A</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.05</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">1.80</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">2.82</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.00</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">B</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-1.75</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">Q31</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">A</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.39</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">1.41</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">2.59</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.01</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">B</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.03</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">Q11</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">B</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.31</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">1.26</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">2.41</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.02</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">A</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.05</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">Q17</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">B</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.59</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">1.39</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">2.82</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.00</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">A</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.21</td>
                            </tr>
                        </tbody>
                    </table>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="middle">Item</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">Gender</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">DIF measure</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">DIF contrast</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">t</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">Probability</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">Q31</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">F</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.39</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">1.33</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">2.50</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.01</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">M</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.06</td>
                            </tr>
                        </tbody>
                    </table>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="middle">Item</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">Education level</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">DIF measure</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">DIF contrast</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">t</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">Probability</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">Q31</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">HS</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.55</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">1.90</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">2.51</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.03</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">MD</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-0.35</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">Q1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">BD</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.28</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">1.51</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">2.36</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.03</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">HS</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.23</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">Q2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">BD</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.65</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">2.71</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">2.65</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.02</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">MD</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-2.06</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">Q17</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">MD</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.34</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">1.89</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">2.90</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.01</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">HS</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.45</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">Q17</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">MD</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.34</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">2.37</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">2.96</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.01</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">BD</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.97</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">Q34</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">MD</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.35</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">2.29</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">2.46</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.02</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">BD</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-0.93</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Note. A = 11 &#x2013; 26 years old; B = 27 &#x2013; 42 years old; M = male; F = female; HS = highschool; BD = Bachelor&#x2019;s Degree; MD = Master&#x2019;s Degree.</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>The DIF analysis revealed distinct age-based disparities; younger participants (aged 11 to 26) more readily acknowledged a &#x201c;moral obligation to donate money&#x201d; (Q26) and cultural influences on donations (Q31) compared to older respondents (27 to 42). Conversely, the latter group aligned more with statements involving tangible solutions in donation recommendations (Q11) and the need for communicative services by charities (Q17). Gender disparities emerged, with females showing higher agreement with cultural influences on donations (Q31) than males. Regarding the education background, high school graduates found cultural influences easier to agree with than master&#x2019;s degree holders (Q31), while bachelor&#x2019;s holders aligned more with the effectiveness of KOL items (Q1 and Q2). Master&#x2019;s degree holders found it easier to support communicative charity services (Q17) and discuss support for charity campaigns (Q34) compared to bachelor&#x2019;s degree holders.</p>
            </sec>
        </sec>
        <sec id="sec8" sec-type="conclusions">
            <title>Conclusions</title>
            <p>The preliminary study aimed to assess the psychometric characteristics of a philanthropic activities engagement measure using Rasch modelling analysis. Various aspects of the questionnaire were explored, including dimensionality, item and person reliability, item bias, and their interrelations. Rasch Principal Component Analysis (PCA) suggested potential multidimensionality in the overall scale, while subscales met unidimensionality criteria. Reliability was acceptable for the overall scale and the Funding Philanthropic Brand Trust (FPBT) subscale, but inadequate for Philanthropic Brand Preference (PBP) and Pride of Affiliation (PoA) subscales, warranting further investigation. Some items (i.e. Q17, Q31, Q42, and Q44) posed challenges, indicating issues in discussing social matters, adhering to cultural norms in donations, valuing recognition, and seeking community support in philanthropy. Differential Item Functioning (DIF) analysis revealed demographic differences in response patterns concerning age, gender, and education. These findings offer valuable insights for refining the questionnaire in subsequent development cycles, albeit with acknowledgment of potential limitations due to the sample size. A follow-up study with addressed issues and larger sample coverage is thus recommended.</p>
            <sec id="sec9">
                <title>Ethical considerations</title>
                <p>A research evaluation panel from Doctor of Research in Management (DRM) Program BINUS Business School, Research ethics and publication center approved the current preliminary study on August 25th, 2023. The ethical approval was obtained from DRM Research Ethics committee with letter no 004/HoP.DRM/I/2024. The participants of the current study were selected on voluntary basis and written informed consent was collected prior to the study. The participants were anonymized and their identity had been removed from the dataset.</p>
            </sec>
        </sec>
    </body>
    <back>
        <sec id="sec12" sec-type="data-availability">
            <title>Data availability statement</title>
            <p>Zenodo: Dataset on the validation of individuals&#x2019; intention to engagement in philanthropic activities measure available at 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.10123085">https://doi.org/10.5281/zenodo.10123085</ext-link> (
                <xref ref-type="bibr" rid="ref16">Ulza, 2023</xref>).</p>
            <p>Data are available under the terms of the 
                <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/publicdomain/zero/1.0/">Creative Commons Zero &#x201c;No rights reserved&#x201d; data waiver</ext-link> (CC0 1.0 Public domain dedication).</p>
        </sec>
        <ref-list>
            <title>References</title>
            <ref id="ref1">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

                        <name name-style="western">
                            <surname>Millington</surname>
                            <given-names>A</given-names>
                        </name>
</person-group>:
                    <article-title>Corporate reputation and philanthropy: An empirical analysis.</article-title>
                    <source>

                        <italic toggle="yes">J. Bus. Ethics.</italic>
</source>
                    <year>2005</year>;<volume>61</volume>(<issue>1</issue>):<fpage>29</fpage>&#x2013;<lpage>44</lpage>.
                    <pub-id pub-id-type="doi">10.1007/s10551-005-7443-4</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref2">
                <mixed-citation publication-type="book">
                    <person-group person-group-type="author">

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

                        <name name-style="western">
                            <surname>Subramaniam</surname>
                            <given-names>R</given-names>
                        </name>
</person-group>:
                    <chapter-title>Validation of a science concept inventory by Rasch analysis.</chapter-title>
                    <person-group person-group-type="editor">

                        <name name-style="western">
                            <surname>Khine</surname>
                            <given-names>MS</given-names>
                        </name>
</person-group>, editor.
                    <source>

                        <italic toggle="yes">Rasch Measurement: Applications in Quantitative Educational Research.</italic>
</source>
                    <publisher-loc>Singapore</publisher-loc>:
                    <publisher-name>Springer</publisher-name>;<year>2020</year>; Issue<issue>July</issue>: pp.<fpage>159</fpage>&#x2013;<lpage>178</lpage>.
                    <pub-id pub-id-type="doi">10.1007/978-981-15-1800-3_9</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref3">
                <mixed-citation publication-type="book">
                    <person-group person-group-type="author">

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

                        <name name-style="western">
                            <surname>Jiang</surname>
                            <given-names>N</given-names>
                        </name>
</person-group>:
                    <chapter-title>Applying the Rasch rating scale method to questionnaire data.</chapter-title>
                    <person-group person-group-type="editor">

                        <name name-style="western">
                            <surname>Khine</surname>
                            <given-names>MS</given-names>
                        </name>
</person-group>, editor.
                    <source>

                        <italic toggle="yes">Rasch Measurement: Applications in Quantitative Educational Research.</italic>
</source>
                    <publisher-loc>Singapore</publisher-loc>:
                    <publisher-name>Springer</publisher-name>;<year>2020</year>; pp.<fpage>31</fpage>&#x2013;<lpage>46</lpage>.
                    <pub-id pub-id-type="doi">10.1007/978-981-15-1800-3_3</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref4">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Huang</surname>
                            <given-names>F</given-names>
                        </name>

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

                        <name name-style="western">
                            <surname>Oon</surname>
                            <given-names>PT</given-names>
                        </name>
</person-group>:
                    <article-title>Constructs evaluation of student attitudes toward science-a rasch analysis.</article-title>
                    <source>

                        <italic toggle="yes">Rasch Measurement: Applications in Quantitative Educational Research.</italic>
</source>
                    <year>2020</year>.
                    <pub-id pub-id-type="doi">10.1007/978-981-15-1800-3_8</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref5">
                <mixed-citation publication-type="book">
                    <person-group person-group-type="author">

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

                        <italic toggle="yes">Rasch Measurement.</italic>
</source>
                    <person-group person-group-type="editor">

                        <name name-style="western">
                            <surname>Khine</surname>
                            <given-names>MS</given-names>
                        </name>
</person-group>, editor.
                    <publisher-loc>Singapore</publisher-loc>:
                    <publisher-name>Springer</publisher-name>;<year>2020</year>.
                    <pub-id pub-id-type="doi">10.1007/978-981-15-1800-3</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref6">
                <mixed-citation publication-type="book">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Kreijns</surname>
                            <given-names>K</given-names>
                        </name>

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

                        <name name-style="western">
                            <surname>Weidlich</surname>
                            <given-names>J</given-names>
                        </name>
</person-group>:
                    <chapter-title>A Rasch analysis approach to the development and validation of a social presence measure.</chapter-title>
                    <person-group person-group-type="editor">

                        <name name-style="western">
                            <surname>Khine</surname>
                            <given-names>MS</given-names>
                        </name>
</person-group>, editor.
                    <source>

                        <italic toggle="yes">Rasch Measurement: Applications in Quantitative Educational Research.</italic>
</source>
                    <publisher-loc>Singapore</publisher-loc>:
                    <publisher-name>Springer</publisher-name>;<year>2020</year>; pp.<fpage>197</fpage>&#x2013;<lpage>221</lpage>.
                    <pub-id pub-id-type="doi">10.1007/978-981-15-1800-3_11</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref7">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Lee</surname>
                            <given-names>WL</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Chinna</surname>
                            <given-names>K</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Sumintono</surname>
                            <given-names>B</given-names>
                        </name>
</person-group>:
                    <article-title>Psychometrics assessment of HeartQoL questionnaire: A Rasch analysis.</article-title>
                    <source>

                        <italic toggle="yes">Eur. J. Prev. Cardiol.</italic>
</source>
                    <year>2020</year>;<volume>28</volume>(<issue>12</issue>):<fpage>e1</fpage>&#x2013;<lpage>e5</lpage>.
                    <pub-id pub-id-type="pmid">34647582</pub-id>
                    <pub-id pub-id-type="doi">10.1177/2047487320902322</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref8">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Liao</surname>
                            <given-names>F</given-names>
                        </name>
</person-group>:
                    <article-title>The effect of philanthropic activities on corporate financial performance: From the perspectives of charity donation and volunteer service.</article-title>
                    <source>

                        <italic toggle="yes">Mod. Econ.</italic>
</source>
                    <year>2020</year>;<volume>11</volume>(<issue>1</issue>):<fpage>96</fpage>&#x2013;<lpage>108</lpage>.
                    <pub-id pub-id-type="doi">10.4236/me.2020.111010</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref9">
                <mixed-citation publication-type="book">
                    <person-group person-group-type="author">

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

                        <italic toggle="yes">A user&#x2019;s guide to Winsteps Ministep Rasch-model computer programs (version 5.2.0).</italic>
</source>
                    <publisher-name>Institute for Objective Measurement</publisher-name>;<year>2018</year>.</mixed-citation>
            </ref>
            <ref id="ref10">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

                        <name name-style="western">
                            <surname>Saskia</surname>
                            <given-names>R</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Arrummaiza</surname>
                            <given-names>VS</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Psychometric assessment of an instrument evaluating the effects of affective variables on students&#x2019; WTC in face-to-face and digital environment.</article-title>
                    <source>

                        <italic toggle="yes">Cogent Psychol.</italic>
</source>
                    <year>2020</year>;<volume>7</volume>(<issue>1</issue>):<fpage>1823617</fpage>.
                    <pub-id pub-id-type="doi">10.1080/23311908.2020.1823617</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref11">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Ningsih</surname>
                            <given-names>SK</given-names>
                        </name>

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

                        <name name-style="western">
                            <surname>Ar Rahmah</surname>
                            <given-names>R</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>A Rasch-based validation of Indonesian EFL teachers&#x2019; received online social support scale.</article-title>
                    <source>

                        <italic toggle="yes">Cogent Educ.</italic>
</source>
                    <year>2021</year>;<volume>8</volume>(<issue>1</issue>):<fpage>1957529</fpage>.
                    <pub-id pub-id-type="doi">10.1080/2331186X.2021.1957529</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref12">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Rusland</surname>
                            <given-names>SL</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Jaafar</surname>
                            <given-names>NI</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Sumintono</surname>
                            <given-names>B</given-names>
                        </name>
</person-group>:
                    <article-title>Evaluating knowledge creation processes in the Royal Malaysian Navy (RMN) fleet: Personnel conceptualization, participation and differences.</article-title>
                    <source>

                        <italic toggle="yes">Cogent Bus. Manag.</italic>
</source>
                    <year>2020</year>;<volume>7</volume>(<issue>1</issue>):<fpage>1785106</fpage>.
                    <pub-id pub-id-type="doi">10.1080/23311975.2020.1785106</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref13">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

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

                        <name name-style="western">
                            <surname>Sulthonah</surname>
                            <given-names>FA</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Measuring Indonesian EFL teachers&#x2019; digital creativity: Validation of Hoffmann&#x2018;s digital creativity scale.</article-title>
                    <source>

                        <italic toggle="yes">Int. J. Inf. Educ. Technol.</italic>
</source>
                    <year>2023</year>;<volume>13</volume>(<issue>4</issue>):<fpage>763</fpage>&#x2013;<lpage>771</lpage>.
                    <pub-id pub-id-type="doi">10.18178/ijiet.2023.13.4.1865</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref16">
                <mixed-citation publication-type="data">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Ulza</surname>
                            <given-names>E</given-names>
                        </name>
</person-group>:
                    <data-title>Dataset on the validation of individuals&#x2019; intention to engagement in philanthropic activities measure. Zenodo.</data-title>[Dataset].<year>2023</year>.
                    <pub-id pub-id-type="doi">10.5281/zenodo.10123085</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref14">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

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

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

                        <etal/>
</person-group>:
                    <article-title>On corporate philanthropy of private firms and trade credit financing in China.</article-title>
                    <source>

                        <italic toggle="yes">China Econ. Rev.</italic>
</source>
                    <year>2019</year>;<volume>57</volume>:<fpage>101316</fpage>.
                    <pub-id pub-id-type="doi">10.1016/j.chieco.2019.101316</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref15">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

                        <name name-style="western">
                            <surname>Mulyono</surname>
                            <given-names>H</given-names>
                        </name>
</person-group>:
                    <article-title>An Investigation into EFL teachers&#x2019; assessment literacy: Indonesian teachers&#x2019; perceptions and classroom practice.</article-title>
                    <source>

                        <italic toggle="yes">Eur. J. Contemp. Educ.</italic>
</source>
                    <year>2020</year>;<volume>9</volume>(<issue>1</issue>):<fpage>189</fpage>&#x2013;<lpage>201</lpage>.</mixed-citation>
            </ref>
        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report301354">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.161332.r301354</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Gomez Teijeiro</surname>
                        <given-names>Lucia</given-names>
                    </name>
                    <xref ref-type="aff" rid="r301354a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-3914-8868</uri>
                </contrib>
                <aff id="r301354a1">
                    <label>1</label>University of Geneva, Geneva, Switzerland</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>2</day>
                <month>8</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Gomez Teijeiro L</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="relatedArticleReport301354" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.147172.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The manuscript &#x201c;Psychometric characteristics of individuals&#x2019; intention to engage in philanthropic activities measure: An early development and tryout&#x201d;, addresses a significant research question previously explored by scholars in the field of philanthropy (see suggested references). The methodology for constructing and evaluating the scale is well-described, indicating the promise of this work once developed to a final version. The authors position this report as an initial step and provide raw data, offering a valuable preprint resource for academics and practitioners in philanthropy and related fields. Nonetheless, substantial development is needed to convert this brief report into a sound academic contribution, particularly but not exclusively in terms of framing the contribution, increasing the sample size and diversity, and providing descriptive statistics for the sampling.</p>
            <p> A more detailed review is given below:</p>
            <p> 
                <bold>Framing</bold>: This manuscript is not well contextualized within the research field or the question. The gap to be addressed is just suggested but not elaborated in the introduction. Unclear why to mention corporate philanthropy or its impact on trade credit financing or firm reputation. Are the authors discussing corporations or individuals? Inconsistency.</p>
            <p> 
                <bold>Sampling and quality control on responses:</bold> Approach for sampling is not described. Rationale on target populations are not described. Descriptive statistics are needed to easily understand diversity representation. Missing information on country belonging of respondents or beliefs, known to be influencers on reasons to engage in philanthropy. Some missing values identified in raw data provided, likely discarded replies but this information is not provided. Which replies where selected and which where the specific QC criteria for each? Power analysis considering the multiple scales of the questionnaire: how many participants would ensure a robust analysis?</p>
            <p> 
                <bold>Variable coding</bold>: age and monthly amount coding need improvement. Two very big group for age when it is know that this variable affects philanthropy engagement very nuancedly. Donated amount disregards the range between 100000 to 200000 rp.</p>
            <p> 
                <bold>Reproducibility</bold>: methodological approach for analyzing the questionnaire results is described, but lacks details on implementation: versioning, software, packages, etc. As of now, reproducing this results is challenging. Proving the code used and versioning would be sufficient to ensure full reproducibility as data is provided.</p>
            <p> 
                <bold>Results description</bold>: Table 1 would greatly benefit from descriptive statistics. As of now, difficult to assess whether this significance values are due to outliers or low sample size. Figure 1 does not report axis labels and the legend is insufficient to understand such a complex visual, that otherwise is very complete but for experts. Make clearer where the sd cutoffs are placed, groupings of left and right side of the plot, increase font size, detail what it means here the ordering of questions in x axis (as it is not a difficulty questionnaire).</p>
            <p> 
                <bold>Conclusions drawn</bold>: The small sample size makes impossible to sustain any of the conclusions drawn. Problematic to understand what the authors convey as message for questions 17, 31, 42, and 44, as this questionnaire indicate motives and not performance. Rephrase &#x201c;participants struggled&#x201d; or &#x201c;posed challenges&#x201d; as this type of interpretation is not appropriate to this type of questionnaire.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>No</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>Partly</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</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>philanthropy,&#x00a0; artificial intelligence, finance, neuroscience, psychology</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.</p>
        </body>
        <back>
            <ref-list>
                <title>References</title>
                <ref id="rep-ref-301354-1">
                    <label>1</label>
                    <mixed-citation publication-type="journal">
                        <person-group person-group-type="author"/>:
                        <article-title>A Literature Review of Empirical Studies of Philanthropy</article-title>.
                        <source>
                            <italic>Nonprofit and Voluntary Sector Quarterly</italic>
                        </source>.<year>2011</year>;<volume>40</volume>(<issue>5</issue>) :
                        <elocation-id>10.1177/0899764010380927</elocation-id>
                        <fpage>924</fpage>-<lpage>973</lpage>
                        <pub-id pub-id-type="doi">10.1177/0899764010380927</pub-id>
                    </mixed-citation>
                </ref>
                <ref id="rep-ref-301354-2">
                    <label>2</label>
                    <mixed-citation publication-type="journal">
                        <person-group person-group-type="author"/>:
                        <article-title>The Development and Validation of the Motives to Donate Scale</article-title>.
                        <source>
                            <italic>Nonprofit and Voluntary Sector Quarterly</italic>
                        </source>.<year>2018</year>;<volume>47</volume>(<issue>2</issue>) :
                        <elocation-id>10.1177/0899764017744894</elocation-id>
                        <fpage>347</fpage>-<lpage>375</lpage>
                        <pub-id pub-id-type="doi">10.1177/0899764017744894</pub-id>
                    </mixed-citation>
                </ref>
            </ref-list>
        </back>
    </sub-article>
</article>
