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The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis.
Monte Carlo computer simulations were used to investigate the performance of three X 2 test statistics in confirmatory factor analysis (CFA). Normal theory maximum likelihood )~2 (ML), Browne'sExpand
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An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data.
Confirmatory factor analysis (CFA) is widely used for examining hypothesized relations among ordinal variables (e.g., Likert-type items). A theoretically appropriate method fits the CFA model toExpand
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Computational Tools for Probing Interactions in Multiple Linear Regression, Multilevel Modeling, and Latent Curve Analysis
Simple slopes, regions of significance, and confidence bands are commonly used to evaluate interactions in multiple linear regression (MLR) models, and the use of these techniques has recently beenExpand
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Structural equation models with non-normal variables: Problems and remedies
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Latent curve models: A structural equation perspective
Preface. 1 Introduction. 1.1 Conceptualization and Analysis of Trajectories. 1.2 Three Initial Questions About Trajectories. 1.3 Brief History of Latent Curve Models. 1.4 Organization of theExpand
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Distributional assumptions of growth mixture models: implications for overextraction of latent trajectory classes.
Growth mixture models are often used to determine if subgroups exist within the population that follow qualitatively distinct developmental trajectories. However, statistical theory developed forExpand
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An Empirical Evaluation of the Use of Fixed Cutoff Points in RMSEA Test Statistic in Structural Equation Models
This article is an empirical evaluation of the choice of fixed cutoff points in assessing the root mean square error of approximation (RMSEA) test statistic as a measure of goodness-of-fit inExpand
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Probing Interactions in Fixed and Multilevel Regression: Inferential and Graphical Techniques
Many important research hypotheses concern conditional relations in which the effect of one predictor varies with the value of another. Such relations are commonly evaluated as multiplicativeExpand
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The disaggregation of within-person and between-person effects in longitudinal models of change.
Longitudinal models are becoming increasingly prevalent in the behavioral sciences, with key advantages including increased power, more comprehensive measurement, and establishment of temporalExpand
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Integrative data analysis: the simultaneous analysis of multiple data sets.
There are both quantitative and methodological techniques that foster the development and maintenance of a cumulative knowledge base within the psychological sciences. Most noteworthy of theseExpand
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