Bishop C J, Morrison Todd Graham
Psychology Program, Grenfell Campus, Memorial University of Newfoundland and Labrador, Corner Brook, NL A2H 5G4, Canada.
Department of Psychology and Health Studies, University of Saskatchewan, Saskatoon, SK S7N 5A5, Canada.
Behav Sci (Basel). 2024 Jul 18;14(7):611. doi: 10.3390/bs14070611.
In this primer, following best practice recommendations and drawing upon their own expertise in psychometrics, the authors provide a step-by-step guide for developing measures relevant to sexual- and gender-marginalized persons (SGMPs). To ensure that readers operate from a uniform understanding, definitions for central elements of psychometric testing (e.g., reliability and validity) are provided. Then, detailed information is given about developing and refining scale items. Strategies designed to reduce a pool of items to a manageable number are also highlighted. The authors conclude this primer by discussing various forms of validation (e.g., convergent, discriminant, and known groups). To further readers' understanding, illustrative examples from measures designed for SGMPs are brought into focus throughout.
在本入门指南中，作者遵循最佳实践建议并凭借自身在心理测量学方面的专业知识，提供了一份针对开发与性取向和性别边缘化人群（SGMPs）相关测量工具的分步指南。为确保读者有统一的理解，文中给出了心理测量测试核心要素（如信度和效度）的定义。接着，详细介绍了量表项目的开发和完善。还重点强调了将大量项目缩减至可管理数量的策略。作者通过讨论各种形式的效度验证（如收敛效度、区分效度和已知群体效度）来结束本入门指南。为进一步增进读者的理解，文中自始至终都聚焦于为性取向和性别边缘化人群设计的测量工具中的示例。
