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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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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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Conceptualizing and testing random indirect effects and moderated mediation in multilevel models: new procedures and recommendations.
The authors propose new procedures for evaluating direct, indirect, and total effects in multilevel models when all relevant variables are measured at Level 1 and all effects are random. Formulas areExpand
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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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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 integration of continuous and discrete latent variable models: potential problems and promising opportunities.
Structural equation mixture modeling (SEMM) integrates continuous and discrete latent variable models. Drawing on prior research on the relationships between continuous and discrete latent variableExpand
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Estimating Multilevel Linear Models as Structural Equation Models
We demonstrate that a broad class of MLMs may be estimated as structural equation models (SEMs). Expand
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Observations on the Use of Growth Mixture Models in Psychological Research
Psychologists are applying growth mixture models at an increasing rate. This article argues that most of these applications are unlikely to reproduce the underlying taxonic structure of theExpand
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Sexual and drug behavior patterns and HIV and STD racial disparities: the need for new directions.
OBJECTIVES We used nationally representative data to examine whether individuals' sexual and drug behavior patterns account for racial disparities in sexually transmitted disease (STD) and HIVExpand
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Local solutions in the estimation of growth mixture models.
Finite mixture models are well known to have poorly behaved likelihood functions featuring singularities and multiple optima. Growth mixture models may suffer from fewer of these problems,Expand
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