School of Psychology and Sports Sciences, Anglia Ruskin University, Cambridge, United Kingdom; Centre for Psychological Medicine, Perdana University, Kuala Lumpur, Malaysia.
School of Psychology and Sports Sciences, Anglia Ruskin University, Cambridge, United Kingdom; Centre for Psychological Medicine, Perdana University, Kuala Lumpur, Malaysia.
Body Image. 2021 Jun;37:214-224. doi: 10.1016/j.bodyim.2021.03.002. Epub 2021 Mar 13.
Test adaptation - the translation and validation of source instruments for use in new social identity groups - plays a vital role in body image research. Previously, Swami and Barron (2019) developed a set of good practice recommendations and reporting guidelines for the test adaptation of body image instruments. However, a number of issues in that article were not covered in depth and new issues have emerged as a result of developments in theory and practice. Here, we offer an addendum to Swami and Barron in the form of frequently asked questions. Issues discussed in this article include various methods for achieving good translations, the appropriateness of revising instrument components prior to empirical analyses, determining the number of factors to extract in exploratory factor analyses (EFA), and the usefulness of EFA versus confirmatory factor analyses (CFA) in determining factorial validity. We also cover methods of analyses that have been infrequently utilised by body image scholars, including exploratory structural equation modelling (ESEM), bifactor model analyses, and various methods for establish measurement invariance. When read as an addendum to Swami and Barron, we hope this article helps to clarify issues of importance for body image researchers interested in conducting test adaptation work.
测试改编——将源工具翻译成新的社会身份群体并进行验证——在身体意象研究中起着至关重要的作用。此前,Swami 和 Barron(2019 年)为身体意象工具的测试改编制定了一套良好实践建议和报告准则。然而,该文章中并未深入探讨许多问题,并且由于理论和实践的发展,又出现了一些新问题。在这里,我们以常见问题解答的形式对 Swami 和 Barron 进行了补充。本文讨论的问题包括实现良好翻译的各种方法、在进行实证分析之前修改工具组件的适当性、确定探索性因素分析(EFA)中要提取的因素数量,以及 EFA 与验证性因素分析(CFA)在确定因子有效性方面的有用性。我们还介绍了身体意象学者很少使用的分析方法,包括探索性结构方程建模(ESEM)、双因素模型分析以及各种建立测量不变性的方法。当作为 Swami 和 Barron 的附录阅读时,我们希望本文有助于澄清对进行测试改编工作感兴趣的身体意象研究人员的重要问题。