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Factor Analysis2
Structural Equation Models2
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Structural Equation Modeling:…2
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Bentler, Peter M.1
Glockner-Rist, Angelika1
Hayashi, Kentaro1
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Yuan, Ke-Hai1
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On the Likelihood Ratio Test for the Number of Factors in Exploratory Factor Analysis
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Hayashi, Kentaro; Bentler, Peter M.; Yuan, Ke-Hai – Structural Equation Modeling: A Multidisciplinary Journal, 2007
In the exploratory factor analysis, when the number of factors exceeds the true number of factors, the likelihood ratio test statistic no longer follows the chi-square distribution due to a problem of rank deficiency and nonidentifiability of model parameters. As a result, decisions regarding the number of factors may be incorrect. Several…
Descriptors: Researchers, Factor Analysis, Factor Structure, Structural Equation Models
The Best of Both Worlds: Factor Analysis of Dichotomous Data Using Item Response Theory and Structural Equation Modeling
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Glockner-Rist, Angelika; Hoijtink, Herbert – Structural Equation Modeling: A Multidisciplinary Journal, 2003
Both structural equation modeling (SEM) and item response theory (IRT) can be used for factor analysis of dichotomous item responses. In this case, the measurement models of both approaches are formally equivalent. They were refined within and across different disciplines, and make complementary contributions to central measurement problems…
Descriptors: Social Science Research, Measurement Techniques, Social Sciences, Item Response Theory