Longitudinal structural equation modeling with Mplus : a latent state-trait perspective /
Saved in:
| Author / Creator: | Geiser, Christian, author. |
|---|---|
| Imprint: | New York : Guilford Publications, 2021. ©2021 |
| Description: | 1 online resource (371 pages) |
| Language: | English |
| Series: | Methodology in the Social Sciences Ser. Methodology in the Social Sciences Ser. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/14141252 |
| Summary: | 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. |
|---|---|
| Item Description: | Description based upon print version of record. 3.2.5 Mplus Application. |
| Physical Description: | 1 online resource (371 pages) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781462544264 1462544266 9781462544240 146254424X 9781462538782 1462538789 |