By Jason Newsom,Richard N. Jones,Scott M. Hofer
This booklet offers available remedy to cutting-edge methods to examining longitudinal experiences. entire assurance of the preferred research instruments permits readers to choose and select the thoughts that most sensible healthy their study. The analyses are illustrated with examples from significant longitudinal facts units together with sensible information regarding their content material and layout. Illustrations from renowned software program applications provide the best way to interpret the implications. every one bankruptcy positive aspects urged readings for added learn and an inventory of articles that extra illustrate easy methods to enforce the research and record the consequences. Syntax examples for numerous software program programs for every of the bankruptcy examples are supplied at www.psypress.com/longitudinal-data-analysis.
Although a number of the examples tackle overall healthiness or social technology questions concerning getting older, readers from different disciplines will locate the analyses suitable to their paintings. as well as demonstrating statistical research of longitudinal info, the publication indicates the way to interpret and research the consequences in the context of the study layout. The tools coated during this ebook are appropriate to a number of utilized difficulties together with brief- to long term longitudinal stories utilizing a variety of pattern sizes.
The e-book offers non-technical, sensible introductions to the options and concerns appropriate to longitudinal research. issues contain use of publicly on hand info units, weighting and adjusting for complicated sampling designs with longitudinal experiences, lacking info and attrition, size matters regarding longitudinal learn, using ANOVA and regression for regular switch through the years, mediation research, progress curve versions, uncomplicated and complex structural equation types, and survival analysis.
An perfect complement for graduate point classes on facts research and/or longitudinal modeling taught in psychology, gerontology, public health and wellbeing, human improvement, kinfolk stories, medication, sociology, social paintings, and different behavioral, social, and healthiness sciences, this multidisciplinary booklet also will attract researchers in those fields.
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Extra resources for Longitudinal Data Analysis: A Practical Guide for Researchers in Aging, Health, and Social Sciences (Multivariate Applications Series)
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