Growth Modeling (e-bog) af Estabrook, Ryne
Estabrook, Ryne (forfatter)

Growth Modeling e-bog

1459,97 DKK (inkl. moms 1824,96 DKK)
Growth models are among the core methods for analyzing how and when people change. Discussing both structural equation and multilevel modeling approaches, this book leads readers step by step through applying each model to longitudinal data to answer particular research questions. It demonstrates cutting-edge ways to describe linear and nonlinear change patterns, examine within-person and betwe...
E-bog 1459,97 DKK
Forfattere Estabrook, Ryne (forfatter)
Udgivet 30 september 2016
Længde 537 sider
Genrer Child, developmental and lifespan psychology
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9781462526079
Growth models are among the core methods for analyzing how and when people change. Discussing both structural equation and multilevel modeling approaches, this book leads readers step by step through applying each model to longitudinal data to answer particular research questions. It demonstrates cutting-edge ways to describe linear and nonlinear change patterns, examine within-person and between-person differences in change, study change in latent variables, identify leading and lagging indicators of change, evaluate co-occurring patterns of change across multiple variables, and more. User-friendly features include real data examples, code (for Mplus or NLMIXED in SAS, and OpenMx or nlme in R), discussion of the output, and interpretation of each models results. User-Friendly Features *Real, worked-through longitudinal data examples serving as illustrations in each chapter. *Script boxes that provide code for fitting the models to example data and facilitate application to the readers own data. *Important Considerations sections offering caveats, warnings, and recommendations for the use of specific models. *Companion website supplying datasets and syntax for the books examples, along with additional code in SAS/R for linear mixed-effects modeling. Winner--Barbara Byrne Book Award from the Society of Multivariate Experimental Psychology