It concludes with a brief comment about the process of creating and refining clinical measures. In doing so, it highlights the utility of procedures and perspectives such as confirmatory factor analysis, exploratory structural equation modeling, classical test theory, item response theory, and contemporary views on validity. Specifically, this chapter discusses the meaning and importance of measures’ dimensionality, reliability, and validity, and outlines the diverse methods for evaluating those important psychometric properties. This chapter articulates the implications that psychometric quality has for clinical research, outlines fundamental psychometric principles, and presents recent trends in psychometric theory and practice. Reliance upon psychometrically poor measures can produce results that are misleading both quantitatively and conceptually. High-quality, informative research in clinical psychology depends on the use of measures that have sound psychometric properties.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |