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An effective technique for data analysis in the social sciencesThe recent explosion in longitudinal data in the social sciences highlights the need for this timely publication. Latent Curve Models: A Structural Equation Perspective provides an effective technique to analyze latent curve models (LCMs...
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| Literature type: | Electronic eBook |
| Language: | English |
| Series: |
Wiley series in probability and statistics
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| Online Access: |
http://onlinelibrary.wiley.com/book/10.1002/0471746096 |
| Summary: |
An effective technique for data analysis in the social sciencesThe recent explosion in longitudinal data in the social sciences highlights the need for this timely publication. Latent Curve Models: A Structural Equation Perspective provides an effective technique to analyze latent curve models (LCMs). This type of data features random intercepts and slopes that permit each case in a sample to have a different trajectory over time. Furthermore, researchers can include variables to predict the parameters governing these trajectories. The authors synthesize a vast amount of research and finding |
| Carrier Form: | 1 online resource (xii, 285 pages) : illustrations. |
| Bibliography: | Includes bibliographical references (pages 263-273) and indexes. |
| ISBN: |
047145592X 9780471455929 0471746096 9780471746096 9780471746089 0471746088 1280409401 9781280409400 |
| Index Number: | QA278 |
| CLC: | O212.4 |
| Contents: | Unconditional latent curve model -- Missing data and alternative metrics of time -- Nonlinear trajectories and the coding of time -- Conditional latent curve models -- The analysis of groups -- Multivariate latent curve models -- Extensions of latent curve models. |