03205    a2200421   4500001001100000005001700011008003900028020001800067037003600085040000700121041000800128072001500136072001500151072001500166072001600181072001500197072001300212072001300225072001300238072001400251072001300265072002100278072002100299072002100320072002100341072002100362072002100383072001800404100001700422245010400439250000600543260003200549300001000581520212700591700002602718700002402744999001502768113670546520250317100406.0250312042013GB                   eng    a9781136705465  bTaylor & FranciscGBP 53.99fBB  a01  aeng7 aJMB2thema7 aPBT2thema7 aGPS2thema7 aMBNS2thema7 aJHB2thema7 aJMB2bic7 aPBT2bic7 aGPS2bic7 aMBNS2bic7 aJHB2bic7 aPSY0320002bisac7 aPSY0300002bisac7 aPSY0430002bisac7 aSOC0130002bisac7 aMED0900002bisac7 aPSY0000002bisac7 a300.722bisac1 aJason Newsom10aLongitudinal Data AnalysisbA Practical Guide for Researchers in Aging, Health, and Social Sciences  a1  aOxfordbRoutledgec20130619  a405 p  bThis book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis . Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. The methods covered in this book are applicable to a range of applied problems including short- to long-term longitudinal studies using a range of sample sizes. The book provides non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis. Topics include use of publicly available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues related to longitudinal research, the use of ANOVA and regression for average change over time, mediation analysis, growth curve models, basic and advanced structural equation models, and survival analysis. An ideal supplement for graduate level courses on data analysis and/or longitudinal modeling taught in psychology, gerontology, public health, human development, family studies, medicine, sociology, social work, and other behavioral, social, and health sciences, this multidisciplinary book will also appeal to researchers in these fields.1 aRichard N. Jones4B011 aScott M. Hofer4B01  c1801d1801