{"title":"The research transparency index","authors":"Herman Aguinis , Zhuyi Angelina Li , Maw Der Foo","doi":"10.1016/j.leaqua.2024.101809","DOIUrl":null,"url":null,"abstract":"<div><p>Research transparency is critical for credible and trustworthy theory and subsequent practices and policymaking. However, checking for transparency is a laborious and time-consuming task. To facilitate this process, we introduce the <em>Research Transparency Index</em> (RTI v. 1.0). The program, available at <span><span>https://www.hermanaguinis.com</span><svg><path></path></svg></span>, enables users to assess the level of transparency in both unpublished and published manuscripts. RTI provides feedback on the transparency of manuscripts describing quantitative research across key research stages: theory, design, measurement, data analysis, and reporting of results. RTI (a) assists authors in enhancing the transparency of their manuscripts before submitting them to journals and conferences, (b) provides students with guidelines to improve their understanding of research transparency, and (c) provides reviewers and journal editors with a tool to assess manuscripts and offer developmental feedback to authors. RTI saves authors, students, reviewers, and editors time by providing an automated assessment of transparency criteria, which can be updated in the future, given that we make the Python code available. Also, it promotes a culture of transparency, fostering trust and credibility in the scholarly community and among users of the knowledge we produce (e.g., organization and policy decision-makers).</p></div>","PeriodicalId":48434,"journal":{"name":"Leadership Quarterly","volume":"35 4","pages":"Article 101809"},"PeriodicalIF":9.1000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1048984324000389/pdfft?md5=fed750c7893c32a9cbd948cc35bf0fca&pid=1-s2.0-S1048984324000389-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Leadership Quarterly","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1048984324000389","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
Abstract
Research transparency is critical for credible and trustworthy theory and subsequent practices and policymaking. However, checking for transparency is a laborious and time-consuming task. To facilitate this process, we introduce the Research Transparency Index (RTI v. 1.0). The program, available at https://www.hermanaguinis.com, enables users to assess the level of transparency in both unpublished and published manuscripts. RTI provides feedback on the transparency of manuscripts describing quantitative research across key research stages: theory, design, measurement, data analysis, and reporting of results. RTI (a) assists authors in enhancing the transparency of their manuscripts before submitting them to journals and conferences, (b) provides students with guidelines to improve their understanding of research transparency, and (c) provides reviewers and journal editors with a tool to assess manuscripts and offer developmental feedback to authors. RTI saves authors, students, reviewers, and editors time by providing an automated assessment of transparency criteria, which can be updated in the future, given that we make the Python code available. Also, it promotes a culture of transparency, fostering trust and credibility in the scholarly community and among users of the knowledge we produce (e.g., organization and policy decision-makers).
期刊介绍:
The Leadership Quarterly is a social-science journal dedicated to advancing our understanding of leadership as a phenomenon, how to study it, as well as its practical implications.
Leadership Quarterly seeks contributions from various disciplinary perspectives, including psychology broadly defined (i.e., industrial-organizational, social, evolutionary, biological, differential), management (i.e., organizational behavior, strategy, organizational theory), political science, sociology, economics (i.e., personnel, behavioral, labor), anthropology, history, and methodology.Equally desirable are contributions from multidisciplinary perspectives.