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Direct linkvan de Schoot, Rens; Hoijtink, Herbert; Hallquist, Michael N.; Boelen, Paul A. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Researchers in the behavioral and social sciences often have expectations that can be expressed in the form of inequality constraints among the parameters of a structural equation model resulting in an informative hypothesis. The questions they would like an answer to are "Is the hypothesis Correct" or "Is the hypothesis…
Descriptors: Bayesian Statistics, Structural Equation Models, Hypothesis Testing, Computer Software
van de Schoot, Rens; Hoijtink, Herbert; Dekovic, Maja – Structural Equation Modeling: A Multidisciplinary Journal, 2010
Researchers often have expectations that can be expressed in the form of inequality constraints among the parameters of a structural equation model. It is currently not possible to test these so-called informative hypotheses in structural equation modeling software. We offer a solution to this problem using M"plus." The hypotheses are…
Descriptors: Structural Equation Models, Computer Software, Hypothesis Testing, Statistical Analysis
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
