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Automated content analysis of cultural Diversity Perspectives in Annual Reports (DivPAR): Development, validation, and future research agenda.
Cultural Diversity & Ethnic Minority Psychology ( IF 3.2 ) Pub Date : 2021-07-29 , DOI: 10.1037/cdp0000413
Joep Hofhuis 1 , Pytrik Schafraad 2 , Damian Trilling 2 , Nastasia Luca 1 , Bastiaan van Manen 1
Affiliation  

Objective: In this article, we present a digital tool (Diversity Perspectives in Annual Reports [DivPAR]) for automated content analysis of annual reports, designed to identify the presence of three cultural diversity perspectives-the Moral, Market, and Innovation perspectives-based on earlier work by Ely and Thomas (2001). Method: In Study 1, we describe the development and validation of the instrument, through an iterative procedure in which manual annotation of independent subsamples (n = 24, 25) by human coders was compared to the computer coding in subsequent rounds, until sufficient agreement was reached. In Study 2, we illustrate the type of data that the script generates, by analyzing the prevalence of the three perspectives in annual reports of 55 Dutch organizations over a period of 2 decades (1999-2018; n = 937). Results: Our findings confirm that DivPAR is sufficiently reliable for use in future research. In Study 2, we show that among Dutch organizations, the moral perspective is most prevalent, but the market and innovation perspectives are increasing in popularity. Conclusion: DivPAR can be used to analyze the prevalence and longitudinal development of diversity perspectives in organizational communication. It enables scholars to draw comparisons across different sectors, regions, or countries, to study how diversity perspectives correlate with societal developments, and to uncover the (lack of) relationships between diversity communication and diversity outcomes. Directions for future research are discussed at the end of the article. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

中文翻译:


年度报告中文化多样性观点的自动内容分析 (DivPAR):开发、验证和未来研究议程。



目标:在本文中,我们提出了一种用于对年度报告进行自动内容分析的数字工具(年度报告中的多样性视角 [DivPAR]),旨在识别三种文化多样性视角(基于道德、市场和创新视角)的存在。伊利和托马斯 (2001) 的早期工作。方法:在研究 1 中,我们通过迭代程序描述了仪器的开发和验证,其中将人类编码员对独立子样本 (n = 24, 25) 的手动注释与后续几轮中的计算机编码进行比较,直到达成充分一致已达到。在研究 2 中,我们通过分析 55 个荷兰组织在 20 年间(1999-2018 年;n = 937)年度报告中三种观点的流行程度来说明脚本生成的数据类型。结果:我们的研究结果证实 DivPAR 足够可靠,可用于未来的研究。在研究 2 中,我们表明在荷兰组织中,道德视角最为普遍,但市场和创新视角也越来越受欢迎。结论:DivPAR 可用于分析组织沟通中多样性观点的普遍性和纵向发展。它使学者能够对不同部门、地区或国家进行比较,研究多样性观点如何与社会发展相关,并揭示多样性传播与多样性结果之间(缺乏)的关系。文章末尾讨论了未来研究的方向。 (PsycInfo 数据库记录 (c) 2023 APA,保留所有权利)。
更新日期:2021-07-29
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