Data analysis with Mplus / Christian Geiser.

Format:

Book

Author/Creator:

Geiser, Christian.

Series:

Methodology In The Social Sciences

Methodology in the social sciences

Standardized Title:

Datenanalyse mit Mplus. English

Language:

English

German

Subjects (All):

Multivariate analysis--Data processing.

Multivariate analysis.

Mplus.

Physical Description:

1 online resource (321 p.)

Place of Publication:

New York : Guilford Press, c2013.

Summary:

A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts. The author shows how to prepare a data set for import in Mplus using SPSS. He explains how to specify different types of models in Mplus syntax and address typical caveats--for example, assessing measurement invariance in longitudinal SEMs. Coverage includes path and factor analytic models as well as mediational, longitudinal, multilevel, and latent class models. Specific programming tips an

Contents:

Cover; Half Title Page; Series Page; Title Page; Copyright Page; Series Editor's Note; Preface; Contents; Chapter 1. Data Management in SPSS; 1.1 Coding Missing Values; 1.2 Exporting an ASCII Data File for Mplus; Chapter 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); Chapter 3. Linear Structural Equation Models; 3.1 What Are Linear SEMs?

4.1.4 Testing for Measurement Invariance across Time4.2 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; Chapter 5. Multilevel Regression Analysis; 5.1 Introduction to Multilevel Analysis; 5.2 Specification of Multilevel Models in Mplus; 5.3 Option TwoLevel BASIC; 5.4 Random Intercept Models; 5.4.1 Null Model (Intercept-Only Model); 5.4.2 One-Way Random Effects ANCOVA; 5.4.3 Means-as-Outcomes Model

5.5 Random Intercept and Slope Models5.5.1 Random Coefficient Regression Analysis; 5.5.2 Intercepts-and-Slopes-as-Outcomes Model; Chapter 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; References; Author Index; Subject Index

About the Author

Notes:

Description based upon print version of record.

Description based on publisher supplied metadata and other sources.

Includes bibliographical references and index.

ISBN:

1-283-81058-1

1-4625-0783-2

OCLC:

818846961