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Zhang, Zhiyong; Wang, Lijuan – Psychometrika, 2013
Despite wide applications of both mediation models and missing data techniques, formal discussion of mediation analysis with missing data is still rare. We introduce and compare four approaches to dealing with missing data in mediation analysis including list wise deletion, pairwise deletion, multiple imputation (MI), and a two-stage maximum…
Descriptors: Maximum Likelihood Statistics, Structural Equation Models, Simulation, Measurement Techniques
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Merkle, Edgar C.; Zeileis, Achim – Psychometrika, 2013
The issue of measurement invariance commonly arises in factor-analytic contexts, with methods for assessment including likelihood ratio tests, Lagrange multiplier tests, and Wald tests. These tests all require advance definition of the number of groups, group membership, and offending model parameters. In this paper, we study tests of measurement…
Descriptors: Factor Analysis, Evaluation Methods, Tests, Psychometrics
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Edwards, Michael C. – Psychometrika, 2010
Item factor analysis has a rich tradition in both the structural equation modeling and item response theory frameworks. The goal of this paper is to demonstrate a novel combination of various Markov chain Monte Carlo (MCMC) estimation routines to estimate parameters of a wide variety of confirmatory item factor analysis models. Further, I show…
Descriptors: Structural Equation Models, Markov Processes, Factor Analysis, Item Response Theory
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Jennrich, Robert I. – Psychometrika, 2008
The infinitesimal jackknife provides a simple general method for estimating standard errors in covariance structure analysis. Beyond its simplicity and generality what makes the infinitesimal jackknife method attractive is that essentially no assumptions are required to produce consistent standard error estimates, not even the requirement that the…
Descriptors: Nonparametric Statistics, Statistical Analysis, Psychometrics, Measurement Techniques
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Muthen, Bengt O.; Satorra, Albert – Psychometrika, 1995
B. O. Muthen (1984) formulated a general model and estimation procedure for structural equation modeling with a mixture of dichotomous, ordered categorical, and continuous measures of latent variables that was implemented in the LISCOMP program. This paper extends the description of the asymptotics and shows how the formulas can be derived.…
Descriptors: Estimation (Mathematics), Least Squares Statistics, Measurement Techniques, Structural Equation Models