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MplusAutomation : An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus

Structural equation modeling, 2018-01, Vol.25 (4), p.621-638

2018

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Dynamic Structural Equation Models

Structural equation modeling, 2018-05, Vol.25 (3), p.359-388

2018

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Statistical Power to Detect the Correct Number of Classes in Latent Profile Analysis

Structural equation modeling, 2013-10, Vol.20 (4), p.640-657

2013

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Latent Class Analysis With Distal Outcomes: A Flexible Model-Based Approach

Structural equation modeling, 2013-01, Vol.20 (1), p.1-26

2013

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Effect Size, Statistical Power, and Sample Size Requirements for the Bootstrap Likelihood Ratio Test in Latent Class Analysis

Structural equation modeling, 2014-10, Vol.21 (4), p.534-552

2014

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Comparing Models of Change to Estimate the Mediated Effect in the Pretest-Posttest Control Group Design

Structural equation modeling, 2017-05, Vol.24 (3), p.428-450

2017

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Model Fit Estimation for Multilevel Structural Equation Models

Structural equation modeling, 2020-03, Vol.27 (2), p.318-329

2020

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Regularized Structural Equation Modeling

Structural equation modeling, 2016-07, Vol.23 (4), p.555-566

2016

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Resampling and Distribution of the Product Methods for Testing Indirect Effects in Complex Models

Structural equation modeling, 2008-01, Vol.15 (1), p.23-51

2008

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Latent Variable Centering of Predictors and Mediators in Multilevel and Time-Series Models

Structural equation modeling, 2019-01, Vol.26 (1), p.119-142

2019

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Multiple-Group Invariance with Categorical Outcomes Using Updated Guidelines: An Illustration Using Mplus and the lavaan/semTools Packages

Structural equation modeling, 2020-01, Vol.27 (1), p.111-130

2020

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Causal Inference in Latent Class Analysis

Structural equation modeling, 2013-07, Vol.20 (3), p.361-383

2013

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Modeling Latent Change Score Analysis and Extensions in Mplus: A Practical Guide for Researchers

Structural equation modeling, 2020-01, Vol.27 (1), p.97-110

2020

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Eliminating Bias in Classify-Analyze Approaches for Latent Class Analysis

Structural equation modeling, 2015-01, Vol.22 (1), p.1-11

2015

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Relating Latent Class Membership to Continuous Distal Outcomes: Improving the LTB Approach and a Modified Three-Step Implementation

Structural equation modeling, 2016-03, Vol.23 (2), p.278-289

2016

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Products of Variables in Structural Equation Models

Structural equation modeling, 2023, Vol.30 (5), p.708-718

2023

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Further Reflections on Disentangling Shape and Level Effects in Person-Centered Analyses: An Illustration Exploring the Dimensionality of Psychological Health

Structural equation modeling, 2016-05, Vol.23 (3), p.438-454

2016

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Three Extensions of the Random Intercept Cross-Lagged Panel Model

Structural equation modeling, 2021-07, Vol.28 (4), p.638-648

2021

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Prediction from Latent Classes: A Demonstration of Different Approaches to Include Distal Outcomes in Mixture Models

Structural equation modeling, 2019-11, Vol.26 (6), p.967-985

2019

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Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using Mplus

Structural equation modeling, 2014-01, Vol.21 (3), p.329-341

2014

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The Use of Traditional and Causal Estimators for Mediation Models with a Binary Outcome and Exposure-Mediator Interaction

Structural equation modeling, 2021-05, Vol.28 (3), p.345-355

2021

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Simplifying the Assessment of Measurement Invariance over Multiple Background Variables: Using Regularized Moderated Nonlinear Factor Analysis to Detect Differential Item Functioning

Structural equation modeling, 2020-01, Vol.27 (1), p.43-55

2020

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Multilevel Latent Class Analysis: An Application of Adolescent Smoking Typologies With Individual and Contextual Predictors

Structural equation modeling, 2010-04, Vol.17 (2), p.193-215

2010

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Dynamic Structural Equation Models with Missing Data: Data Requirements on N and T

Structural equation modeling, 2024-09, Vol.31 (5), p.891-908

2024

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Assessing Fit in Ordinal Factor Analysis Models: SRMR vs. RMSEA

Structural equation modeling, 2020-01, Vol.27 (1), p.1-15

2020

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MplusAutomation : An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus

Dynamic Structural Equation Models

Statistical Power to Detect the Correct Number of Classes in Latent Profile Analysis

Latent Class Analysis With Distal Outcomes: A Flexible Model-Based Approach

Effect Size, Statistical Power, and Sample Size Requirements for the Bootstrap Likelihood Ratio Test in Latent Class Analysis

Comparing Models of Change to Estimate the Mediated Effect in the Pretest-Posttest Control Group Design

Model Fit Estimation for Multilevel Structural Equation Models

Regularized Structural Equation Modeling

Resampling and Distribution of the Product Methods for Testing Indirect Effects in Complex Models

Latent Variable Centering of Predictors and Mediators in Multilevel and Time-Series Models

Multiple-Group Invariance with Categorical Outcomes Using Updated Guidelines: An Illustration Using Mplus and the lavaan/semTools Packages

Causal Inference in Latent Class Analysis

Modeling Latent Change Score Analysis and Extensions in Mplus: A Practical Guide for Researchers

Eliminating Bias in Classify-Analyze Approaches for Latent Class Analysis

Relating Latent Class Membership to Continuous Distal Outcomes: Improving the LTB Approach and a Modified Three-Step Implementation

Products of Variables in Structural Equation Models

Further Reflections on Disentangling Shape and Level Effects in Person-Centered Analyses: An Illustration Exploring the Dimensionality of Psychological Health

Three Extensions of the Random Intercept Cross-Lagged Panel Model

Prediction from Latent Classes: A Demonstration of Different Approaches to Include Distal Outcomes in Mixture Models

Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using Mplus

The Use of Traditional and Causal Estimators for Mediation Models with a Binary Outcome and Exposure-Mediator Interaction

Simplifying the Assessment of Measurement Invariance over Multiple Background Variables: Using Regularized Moderated Nonlinear Factor Analysis to Detect Differential Item Functioning

Multilevel Latent Class Analysis: An Application of Adolescent Smoking Typologies With Individual and Contextual Predictors

Dynamic Structural Equation Models with Missing Data: Data Requirements on N and T

Assessing Fit in Ordinal Factor Analysis Models: SRMR vs. RMSEA

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