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2015•Unpublished venueRequires access

An introduction to multilevel modeling techniques : MLM and SEM approaches using Mplus

Ronald H. Heck, Scott Loring Thomas

Open publisher page 186 citations

Abstract

1. Introduction 2. Getting Started with Multilevel Analysis 3. Multilevel Regression Models 4. Extending the Two-Level Regression Model 5. Defining Multilevel Latent Variables 6. Multilevel Structural Equation Models 7. Methods for Examining Individual and Organizational Change 8. Multilevel Models with Categorical Variables 9. Multilevel Mixture Models 10. Data Consideration in Examining Multilevel Models

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What this paper is about

1. Introduction 2. Getting Started with Multilevel Analysis 3. Multilevel Regression Models 4. Extending the Two-Level Regression Model 5. Defining Multilevel Latent Variables 6. Multilevel Structural Equation Models 7. Methods for Examining Individual and Organizational Change 8. Multilevel Models with Categorical Variables 9. Multilevel Mixture Models 10. Data Consideration in Examining Multilevel Models

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OpenAlex reports 186 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

1. Introduction 2. Getting Started with Multilevel Analysis 3. Multilevel Regression Models 4. Extending the Two-Level Regression Model 5. Defining Multilevel Latent Variables 6. Multilevel Structural Equation Models 7. Methods for Examining Individual and Organizational Change 8. Multilevel Models with Categorical Variables 9. Multilevel Mixture Models 10. Data Consideration in Examining Multilevel Models

Key concepts: Multilevel model, Structural equation modeling, Categorical variable, Latent variable, Regression analysis, Hierarchical database model, Multilevel modelling, Econometrics

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