General Latent Variable Modelling Using Mplus
1st Edition
Published on 15. July 2016
Book
Hardback
320 pages
978-1-4200-7908-1 (ISBN)
Description
This book describes the kinds of latent variable models that can be applied to multivariate data and the purposes for which different analyses can be used. It outlines the steps in model estimation and interpretation of key questions in applied statistical research, with examples drawn from real data obtained by the authors in their three decades of research. The book provides enough insight into the underlying models, parameterizations, and estimation methods to enable readers to make informed decisions about what Mplus features to use and when.
More details
Series
Language
English
Place of publication
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Professional
Product notice
Paper over boards
Illustrations
80 s/w Abbildungen
80 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-4200-7908-1 (9781420079081)
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Schweitzer Classification
Persons
Content
Overview. What is covariance, and how do we model covariance structure. Jumpstart Mplus: writing and executing Mplus programs. Confirmatory factor analysis and structural equation modeling. Models for longitudinal data: autoregressive and growth models. Latent variable measurement models in psychometric research. Categorical latent variables: mixture modeling using Mplus. Categorical variables and longitudinal data: latent trajectory modeling. Multiple group and missing data modeling. Instrumental variables approaches to causal inference using SEMs. Monte Carlo simulation studies and statistical power. Appendices. Index.