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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/10456

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Title: Assessing measurement invariance in questionnaires within latent trait models using item response theory
Author(s): Maydeu Olivares, Alberto
D'Zurilla, Thomas J.
Morera, Osvaldo
Publisher: Universidad Carlos III de Madrid. Departamento de Estadística
Issued date: Jun-1996
URI: http://hdl.handle.net/10016/10456
Abstract: Using questionnaires or inventories. researchers often perform mean comparisons between different populations (e.g .• males vs. females) in order to draw inferences about actual differences in the constructs being measured. However, such comparisons are not meaningful unless the assessments obtained in each of the populations are conmesurable or invariant across populations. Most researchers simply assume that measuremnt invariance holds. However, the extent to which this assumption is a reasonable one for specific measures and specific populations should be tested empirically. Using item response theory, the present study shows how gender measurement invariance can be determined when. as is most common, a psychological construct is assessed by means of a questionnaire or inventory composed of categorical items. To illustrate our method, the Positive Problem Orientation scale of the Social Problem-Solving Inventory-Revised (D' Zurilla. Nezu & Maydeu-Olivares, 1996) was assessed and found to be reasonably gender invariant. whereas the Negative Problem Orientation scale was not.
Serie / Nº.: UC3M Working papers. Statistics and Econometrics
96-41
Keywords: Goodness-of-fit
Fit plots
Categorical data
Factor analysis
Appears in Collections:DES - Working Papers. Statistics and Econometrics. WS

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