1995/09/01 by Lee Anna Clark, David Watson · 46 citations
Computer Science · Decision Sciences · #Advanced Statistical Modeling Techniques #Meta-analysis and systematic reviews #Psychometric Methodologies and Testing
paper · doi:10.1037/1040-3590.7.3.309
openalex publication_date 1995/09/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
A primary goal of scale development is to create a valid measure of an underlying construct. We discuss theoretical principles, practical issues, and pragmatic decisions to help developers maximize the construct validity of scales and subscales. First, it is essential to begin with a clear conceptualization of the target construct. Moreover, the content of the initial item pool should be overinclusive and item wording needs careful attention. Next, the item pool should be tested, along with variables that assess closely related constructs, on a heterogeneous sample representing the entire range of the target population. Finally, in selecting scale items, the goal is unidimensionality rather than internal consistency ; this means that virtually all interitem correlations should be moderate in magnitude. Factor analysis can play a crucial role in ensuring the unidimensionality and discriminant validity of scales.