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Latent Growth Curve Modeling: Quantitative Applications in the Social Sciences, cartea 157

Autor Kristopher J. Preacher, Aaron Lee Wichman, Robert Charles MacCallum, Nancy E. Briggs
en Limba Engleză Paperback – 18 aug 2008
Latent growth curve modeling (LGM) is an indispensable and increasingly ubiquitous approach for modeling longitudinal data. This book introduces LGM techniques to researchers, provides easy-to-follow, didactic examples of several common growth modeling approaches and highlights recent advancements regarding the treatment of missing data, parameter estimation, and model fit.
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Specificații

ISBN-13: 9781412939553
ISBN-10: 1412939550
Pagini: 112
Ilustrații: Illustrations
Dimensiuni: 140 x 216 x 5 mm
Greutate: 0.14 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences

Locul publicării:Thousand Oaks, United States

Cuprins

About the Authors
Series Editor Introduction
Acknowledgements
1. Introduction
2. Applying LGM to Empirical Data
3. Specialized Extensions
4. Relationships Between LGM and Multilevel Modeling
5. Summary
Appendix
References

Notă biografică

Kristopher J. Preacher, Ph.D. is a Professor in the Quantitative Methods program at Vanderbilt University. His research concerns the use (and combination) of structural equation modeling and multilevel modeling to model correlational and longitudinal data. Other interests include developing techniques to test mediation and moderation hypotheses, bridging the gap between substantive theory and statistical practice, and studying model evaluation and model selection in the application of multivariate methods to social science questions. He serves on the editorial boards ofPsychological Methods,Multivariate Behavioral Research, andCommunication Methods and Measures.

Descriere

Provides easy-to-follow, didactic examples of several common growth modeling approaches