Unidimensionality in the rasch model: how to detect and interpret

Eugenio Brentari () and Silvia Golia

Statistica, 2007, vol. 67, issue 3, 253-261

Abstract: Unidimensionality, or the fact that the items in a questionnaire measure only a single construct, is a fundamental requirement for the Rasch model. The paper deals with the detection of unidimensionality making use of principal components analysis of residuals and item fit statistics. Simulated bi-dimensional data sets are analized in order to find regolarities in the behavoiur of these statistical tools. The results are applied to a real database coming from the satisfaction section of the first national survey concerning the social services sector realized in Italy.

Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:bot:rivsta:v:67:y:2007:i:3:p:253-261

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