On the Practical Consequences of Misfit in Mokken Scaling

Autor: Rob R. Meijer, Jorge N. Tendeiro, Daniela R. Crisan
Přispěvatelé: Psychometrics and Statistics
Rok vydání: 2020
Předmět:
Zdroj: Applied Psychological Measurement, 44(6), 482-496. SAGE Publications Inc.
Applied Psychological Measurement
ISSN: 1552-3497
0146-6216
DOI: 10.1177/0146621620920925
Popis: Mokken scale analysis is a popular method to evaluate the psychometric quality of clinical and personality questionnaires and their individual items. Although many empirical papers report on the extent to which sets of items form Mokken scales, there is less attention for the effect of violations of commonly used rules of thumb. In this study, the authors investigated the practical consequences of retaining or removing items with psychometric properties that do not comply with these rules of thumb. Using simulated data, they concluded that items with low scalability had some influence on the reliability of test scores, person ordering and selection, and criterion-related validity estimates. Removing the misfitting items from the scale had, in general, a small effect on the outcomes. Although important outcome variables were fairly robust against scale violations in some conditions, authors conclude that researchers should not rely exclusively on algorithms allowing automatic selection of items. In particular, content validity must be taken into account to build sensible psychometric instruments.
Databáze: OpenAIRE