ISBN: 9780805862072 - modeling contextual effects in longitudinal studies (22 risultati)

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Condizione: New. pp. 480.

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Condizione: New. 2007. 1st Edition. Paperback. Longitudinal data are critical for understanding how individuals change across time. Researchers face a complex task when modeling the contexts in which longitudinal processes unfold. This book reviews the challenges and approaches to modeling these influences and provides data analytic strategies for behavioral and social science researchers. Editor(s): Little, Todd D.; Bovaird, James A.; Card, Noel A. Num Pages: 480 pages, black & white illustrations. BIC Classification: JHBC; JMC; PBT. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 230 x 153 x 33. Weight in Grams: 694. . . . . . Books ship from the US and Ireland.…

Condizione: New. 2007. 1st Edition. Paperback. Longitudinal data are critical for understanding how individuals change across time. Researchers face a complex task when modeling the contexts in which longitudinal processes unfold. This book reviews the challenges and approaches to modeling these influences and provides data analytic strategies for behavioral and social science researchers. Editor(s): Little, Todd D.; Bovaird, James A.; Card, Noel A. Num Pages: 480 pages, black & white illustrations. BIC Classification: JHBC; JMC; PBT. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 230 x 153 x 33. Weight in Grams: 694. . . . . .…

Condizione: New. pp. 480 23:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on White w/Gloss Lam This item is printed on demand.

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Todd D. Little is Director of the Research Design Unit and the Quantitative Psychology Doctoral training Program and a Professor of Psychology at the University of Kansas. He received his Ph.D. in developmental and quantitative psycholog.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This volume reviews the various 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 examples of how contextual factors can be included in research studies. 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 techniques such as multilevel modeling, multiple-group and multilevel SEM, and how to incorporate tests of mediation. Critical measurement and theoretical issues are discussed, particularly how age can be represented and the ways in which context can be conceptualized. 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.…