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Modeling Contextual Effects in Longitudinal Studies (Hardcover)
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Modeling Contextual Effects in Longitudinal Studies (Hardcover)
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"Modeling Contextual Effects in Longitudinal Studies "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.
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