Latent growth curve model /
The latent growth curve model (LGCM), a special application of structural equation modeling, has been extensively used to analyze repeated measures data. It is a useful tool for studying patterns and predictors of change over time in linear or nonlinear (e.g., quadratic, piecewise) trajectories of b...
| Main Authors: | , |
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| Other Authors: | , , , , |
| Format: | eBook |
| Language: | English |
| Published: |
London :
SAGE Publications Ltd.,
2020.
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| Series: | Multilevel models.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | The latent growth curve model (LGCM), a special application of structural equation modeling, has been extensively used to analyze repeated measures data. It is a useful tool for studying patterns and predictors of change over time in linear or nonlinear (e.g., quadratic, piecewise) trajectories of behavior, attitudes, or other phenomena. This entry provides an overview of the basic latent growth modeling approach with the specification and interpretation of the growth factors, delineates several of its applications and extensions, including latent basis model, parallel process models, growth mixture models, and piecewise LGCM. The final section of the entry briefly compares the latent growth curve modeling approach to the multilevel modeling approach. |
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| Physical Description: | 1 online resource : illustrations. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781529747256 1529747252 9781526421036 1526421038 |