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A Combined IRT and SEM Approach for Individual-Level Assessment in Test-Retest Studies
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Ferrando, Pere J. – Psicologica: International Journal of Methodology and Experimental Psychology, 2015
The standard two-wave multiple-indicator model (2WMIM) commonly used to analyze test-retest data provides information at both the group and item level. Furthermore, when applied to binary and graded item responses, it is related to well-known item response theory (IRT) models. In this article the IRT-2WMIM relations are used to obtain additional…
Descriptors: Item Response Theory, Structural Equation Models, Goodness of Fit, Statistical Analysis
A Comprehensive Approach for Assessing Person Fit with Test-Retest Data
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Ferrando, Pere J. – Educational and Psychological Measurement, 2014
Item response theory (IRT) models allow model-data fit to be assessed at the individual level by using person-fit indices. This assessment is also feasible when IRT is used to model test-retest data. However, person-fit developments for this type of modeling are virtually nonexistent. This article proposes a general person-fit approach for…
Descriptors: Item Response Theory, Goodness of Fit, Statistical Analysis, Likert Scales
Multidimensional Factor-Analysis-Based Procedures for Assessing Scalability in Personality Measurement
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Ferrando, Pere J. – Structural Equation Modeling: A Multidisciplinary Journal, 2009
Most personality tests are made up of Likert-type items and analyzed by means of factor analysis (FA). In this type of application, the fit of the model at the level of individual respondents is almost never assessed. This article proposes procedures for assessing individual fit (scalability). The procedures are intended for the analysis of…
Descriptors: Personality, Factor Analysis, Personality Measures, Item Response Theory