Transcription of Statistical Analysis With Latent Variables User’s Guide
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Statistical Analysis With Latent Variables User’s Guide
Statistical Analysis With Latent Variables User s Guide Linda K. Muth n Bengt O. Muth n Following is the correct citation for this document: Muth n, and Muth n, (1998-2017). Mplus User s Guide . Eighth Edition. Los Angeles, CA: Muth n & Muth n Copyright 1998-2017 Muth n & Muth n Program Copyright 1998-2017 Muth n & Muth n Version 8 April 2017 The development of this software has been funded in whole or in part with Federal funds from the National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, under Contract No. N44AA52008 and Contract No. N44AA92009. Muth n & Muth n 3463 Stoner Avenue Los Angeles, CA 90066 Tel: (310) 391-9971 Fax: (310) 391-8971 Web: TABLE OF CONTENTS Chapter 1: Introduction 1 Chapter 2: Getting started with Mplus 13 Chapter 3: Regression and path Analysis 19 Chapter 4: Exploratory factor Analysis 43 Chapter 5: Confirmatory factor Analysis and structural equation modeling 55 Chapter 6: Growth modeling, survival Analysis , and N=1 time series Analysis 113 Chapter 7: Mixture modeling with cross-sectional data 165 Chapter 8: Mixture modeling with longitudinal data 221 Chapter 9: Multilevel modeling with complex survey data 261 Chapter 10: Multilevel mixture modeling 395 Chapter 11: Missing data modeling and Bay
Bootstrap standard errors and confidence intervals Wald chi-square test of parameter equalities Factor scores and plausible values for latent variables . Introduction 5 MODELING WITH CATEGORICAL LATENT VARIABLES Ellipse B describes models with only categorical latent variables. Following are models in Ellipse B that can be estimated using Mplus
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