Longitudinal Structural Equation Modeling with Mplus : A Latent State-Trait Perspective Hardback
by Christian Geiser
Part of the Methodology in the Social Sciences series
Hardback
- Information
Description
An in-depth guide to executing longitudinal confirmatory factor analysis (CFA) and structural equation modeling (SEM) in Mplus, this book uses latent state–trait (LST) theory as a unifying conceptual framework, including the relevant coefficients of consistency, occasion specificity, and reliability.
Following a standard format, chapters review the theoretical underpinnings, strengths, and limitations of the various models; present data examples; and demonstrate each model's application and interpretation in Mplus, with numerous screen shots and output excerpts.
Coverage encompasses both traditional models (autoregressive, change score, and growth curve models) and LST models for analyzing single- and multiple-indicator data.
The book discusses measurement equivalence testing, intensive longitudinal data modeling, and missing data handling, and provides strategies for model selection and reporting of results.
User-friendly features include special-topic boxes, chapter summaries, and suggestions for further reading.
The companion website features data sets, annotated syntax files, and output for all of the examples.
Information
-
Out of StockMore expected soonContact us for further information
- Format:Hardback
- Pages:344 pages
- Publisher:Guilford Publications
- Publication Date:04/11/2020
- Category:
- ISBN:9781462544240
Other Formats
- Paperback / softback from £46.73
- PDF from £142.20
Information
-
Out of StockMore expected soonContact us for further information
- Format:Hardback
- Pages:344 pages
- Publisher:Guilford Publications
- Publication Date:04/11/2020
- Category:
- ISBN:9781462544240