Koller Ingrid, Levenson Michael R, Glück Judith
Department of Psychology, Alpen-Adria-Universität Klagenfurt Klagenfurt, Austria.
Department of Human Development and Family Sciences, Oregon State University Corvallis, OR, USA.
Front Psychol. 2017 Feb 21;8:126. doi: 10.3389/fpsyg.2017.00126. eCollection 2017.
The valid measurement of latent constructs is crucial for psychological research. Here, we present a mixed-methods procedure for improving the precision of construct definitions, determining the content validity of items, evaluating the representativeness of items for the target construct, generating test items, and analyzing items on a theoretical basis. To illustrate the mixed-methods content-scaling-structure (CSS) procedure, we analyze the Adult Self-Transcendence Inventory, a self-report measure of wisdom (ASTI, Levenson et al., 2005). A content-validity analysis of the ASTI items was used as the basis of psychometric analyses using multidimensional item response models ( = 1215). We found that the new procedure produced important suggestions concerning five subdimensions of the ASTI that were not identifiable using exploratory methods. The study shows that the application of the suggested procedure leads to a deeper understanding of latent constructs. It also demonstrates the advantages of theory-based item analysis.
对潜在结构进行有效的测量对心理学研究至关重要。在此，我们提出一种混合方法程序，用于提高结构定义的精确性、确定项目的内容效度、评估项目对于目标结构的代表性、生成测试项目以及在理论基础上分析项目。为了说明混合方法内容-量表-结构（CSS）程序，我们分析了成人自我超越量表，这是一种智慧的自我报告测量工具（成人自我超越量表，莱文森等人，2005年）。对成人自我超越量表项目的内容效度分析被用作使用多维项目反应模型（=1215）进行心理测量分析的基础。我们发现，新程序针对成人自我超越量表的五个子维度提出了重要建议，而这些建议是探索性方法无法识别的。该研究表明，应用所建议的程序能够更深入地理解潜在结构。它还展示了基于理论的项目分析的优势。
