Placeholder text

Go to cart

Modeling Contextual Effects in Longitudinal Studies

By Little, Todd D.

Modeling Contextual Effects in Longitudinal Studies Medicine

Modeling Contextual Effects in Longitudinal Studies

0 - Used - good
Description
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.
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
480
Release Date:
2007-03-07
Publication Date:
2007-03-21
Publisher:
Routledge
Languages:
Original: English
ISBN10:
0805862072
ISBN13:
9780805862072
GPSR Manufacturer Reference:
[email protected]
Weight:
689 g
Height:
152 cm
Width:
229 cm
Thickness:
26 cm
Buy on Amazon
Currently sold out