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Moneymaking
Author: Todd D. Little,James A. Bovaird,Noel A. Card
ISBN: 0805850198
Subcategory: Marketing & Sales
Pages 480 pages
Publisher Routledge; 1 edition (March 21, 2007)
Language English
Category: Moneymaking
Rating: 4.5
Votes: 778
ePUB size: 1514 kb
FB2 size: 1899 kb
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eBook Modeling Contextual Effects in Longitudinal Studies download

by Todd D. Little,James A. Bovaird,Noel A. Card


Noel A. Card is an Assistant Professor in the Division of Family Studies and Human Development at the University of Arizona.

in developmental and quantitative psychology at the University of California - Riverside. Noel A. in clinical psychology from St. John’s University.

Longitudinal data are critical for understanding how individuals change across time. Todd D. Little, James A. Bovaird, Noel A. Card. Lawrence Erlbaum Associates, 2007 - 471 sayfa.

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Todd D. in developmental and quantitative psychology at the University of California - Riverside. James A. Bovaird is an Assistant Professor in Educational Psychology at the University of Nebraska - Lincoln.

First Published 2007. Each chapter c. About this book.

Modeling Contextual Effects in Longitudinal Studies. Скачать (pdf, . 0 Mb).

PDF On Jan 1, 2007, Todd D. Little and others published Modeling Ecological and Contextual Effects in Longitudinal .

In book: Modeling contextual effects in longitudinal studies, Chapter: Modeling ecological and contextual effects in longitudinal studies of human development. Cite this publication. Texas Tech University.

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This volume reviews the challenges and alternative approaches to modeling how individuals change across time and provides methodologies and data analytic strategies for behavioral and social science researchers. This accessible guide provides concrete, clear examples of how contextual factors can be included in most research studies. Each chapter can be understood independently, allowing readers to first focus on areas most relevant to their work. The opening chapter demonstrates the various ways contextual factors are represented―as covariates, predictors, outcomes, moderators, mediators, or mediated effects. Succeeding chapters review "best practice" techniques for treating missing data, making model comparisons, and scaling across developmental age ranges. Other chapters focus on specific statistical techniques such as multilevel modeling and multiple-group and multilevel SEM, and how to incorporate tests of mediation, moderation, and moderated mediation. Critical measurement and theoretical issues are discussed, particularly how age can be represented and the ways in which context can be conceptualized. The final chapter provides a compelling call to include contextual factors in theorizing and research.

This book will appeal to researchers and advanced students conducting developmental, social, clinical, or educational research, as well as those in related areas such as psychology and linguistics.