Download e-book for kindle: Longitudinal Data Analysis: A Practical Guide for by Jason Newsom,Richard N. Jones,Scott M. Hofer

By Jason Newsom,Richard N. Jones,Scott M. Hofer

ISBN-10: 0415874149

ISBN-13: 9780415874144

ISBN-10: 0415874157

ISBN-13: 9780415874151

This booklet offers obtainable therapy to state of the art ways to studying longitudinal experiences. complete assurance of the preferred research instruments permits readers to choose and select the innovations that most sensible healthy their learn. The analyses are illustrated with examples from significant longitudinal information units together with useful information regarding their content material and layout. Illustrations from well known software program programs provide how to interpret the consequences. each one bankruptcy positive aspects recommended readings for added learn and an inventory of articles that extra illustrate the best way to enforce the research and document the implications. Syntax examples for a number of software program applications for every of the bankruptcy examples are supplied at

Although the various examples deal with future health or social technology questions on the topic of getting older, readers from different disciplines will locate the analyses appropriate to their paintings. as well as demonstrating statistical research of longitudinal info, the ebook indicates find out how to interpret and learn the consequences in the context of the study layout. The tools lined during this booklet are appropriate to a number utilized difficulties together with brief- to long term longitudinal stories utilizing various pattern sizes.

The ebook presents non-technical, useful introductions to the options and matters proper to longitudinal research. themes comprise use of publicly to be had facts units, weighting and adjusting for advanced sampling designs with longitudinal stories, lacking info and attrition, size matters relating to longitudinal examine, using ANOVA and regression for typical switch over the years, mediation research, progress curve types, simple and complicated structural equation types, and survival analysis.

An perfect complement for graduate point classes on information research and/or longitudinal modeling taught in psychology, gerontology, public well-being, human improvement, relatives reviews, medication, sociology, social paintings, and different behavioral, social, and well-being sciences, this multidisciplinary e-book also will attract researchers in those fields.

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Longitudinal Data Analysis: A Practical Guide for Researchers in Aging, Health, and Social Sciences (Multivariate Applications Series) by Jason Newsom,Richard N. Jones,Scott M. Hofer

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