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Data analysis with Mplus

Author: Christian Geiser; Guilford Press.
Publisher: New York ; London : The Guilford Press, cop. 2013.
Series: Methodology in the Social Sciences.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
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Document Type: Book
All Authors / Contributors: Christian Geiser; Guilford Press.
ISBN: 9781462502455 1462502458 9781462507825 1462507824
OCLC Number: 883573285
Description: XIII, [1], 305 s. : il. ; 26 cm.
Contents: 1. Data Management in SPSS 1.1 Coding Missing Values 1.2 Exporting an ASCII Data File for Mplus 2. Reading Data into Mplus 2.1 Importing and Analyzing Individual Data (Raw Data) 2.1.1 Basic Structure of the Mplus Syntax and Basic Analysis 2.1.2 Mplus Output for Basic Analysis 2.2 Importing and Analyzing Summary Data (Covariance or Correlation Matrices) 3. Linear Structural Equation Models 3.1 What are Linear SEMs? 3.2 Simple Linear Regression Analysis with Manifest Variables 3.3 Latent Regression Analysis 3.4 Confirmatory Factor Analysis 3.4.1 First-Order CFA 3.4.2 Second-Order CFA 3.5 Path Models and Mediator Analysis 3.5.1 Introduction and Manifest Path Analysis 3.5.2 Manifest Path Analysis in Mplus 3.5.3 Latent Path Analysis 3.5.4 Latent Path Analysis in Mplus 4. Structural Equation Models for Measuring Variability and Change 4.1 Latent State Analysis 4.1.1 LS versus LST Models 4.1.2 Analysis of LS Models in Mplus 4.1.3 Modeling Indicator-Specific Effects 4.1.4 Testing for Measurement Invariance across Time 4.2 LST Analysis 4.3 Autoregressive Models 4.3.1 Manifest Autoregressive Models 4.3.2 Latent Autoregressive Models 4.4 Latent Change Models 4.5 Latent Growth Curve Models 4.5.1 First-Order LGCMs 4.5.2 Second-Order LGCMs 5. Multilevel Regression Analysis 5.1 Introduction to Multilevel Analysis 5.2 Specification of Multilevel Models in Mplus 5.3 Option two level basic 5.4 Random Intercept Models 5.4.1 Null Model (Intercept-Only Model) 5.4.2 One-Way Random Effects of ANCOVA 5.4.3 Means-as-Outcomes Model 5.5 Random Intercept and Slope Models 5.5.1 Random Coefficient Regression Analysis 5.5.2 Intercepts-and-Slopes-as-Outcomes Model 6. Latent Class Analysis 6.1 Introduction to Latent Class Analysis 6.2 Specification of LCA Models in Mplus 6.3 Model Fit Assessment and Model Comparisons 6.3.1 Absolute Model Fit 6.3.2 Relative Model Fit 6.3.3 Interpretability Appendix A: Summary of Key Mplus Commands Discussed in This Book Appendix B: Common Mistakes in the Mplus Input Setup and Troubleshooting Appendix C: Further Readings
Series Title: Methodology in the Social Sciences.
Other Titles: Datenanalyse mit Mplus
Responsibility: Christian Geiser.

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"Mplus is arguably the most flexible commercially available software program for SEM and all of its special cases. Geiser has provided an admirable service to the community of researchers who use Read more...

 
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