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Fan, Weihua; Hancock, Gregory R. – Journal of Educational and Behavioral Statistics, 2012
This study proposes robust means modeling (RMM) approaches for hypothesis testing of mean differences for between-subjects designs in order to control the biasing effects of nonnormality and variance inequality. Drawing from structural equation modeling (SEM), the RMM approaches make no assumption of variance homogeneity and employ robust…
Descriptors: Robustness (Statistics), Hypothesis Testing, Monte Carlo Methods, Simulation
Price, Larry R. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
The aim of this study was to compare the small sample (N = 1, 3, 5, 10, 15) performance of a Bayesian multivariate vector autoregressive (BVAR-SEM) time series model relative to frequentist power and parameter estimation bias. A multivariate autoregressive model was developed based on correlated autoregressive time series vectors of varying…
Descriptors: Sample Size, Time, Bayesian Statistics, Structural Equation Models
Bakker, Arnold B.; Demerouti, Evangelia; ten Brummelhuis, Lieke L. – Journal of Vocational Behavior, 2012
The present study examines whether the relationship between work engagement and job performance is moderated by the extent to which individuals are inclined to work hard, careful, and goal-oriented. On the basis of the literature, it was hypothesized that conscientiousness strengthens the relationship between work engagement and supervisor ratings…
Descriptors: Job Performance, Work Attitudes, Work Ethic, Achievement Need
McCoach, D. Betsy – Journal for the Education of the Gifted, 2003
Structural equation modeling (SEM) refers to a family of statistical techniques that explores the relationships among a set of variables. Structural equation modeling provides an extremely versatile method to model very specific hypotheses involving systems of variables, both measured and unmeasured. Researchers can use SEM to study patterns of…
Descriptors: Gifted, Structural Equation Models, Factor Analysis, Enrichment