{"product_id":"longitudinal-analysis-modeling-within-person-fluctuation-and-change-paperback","title":"Longitudinal Analysis: Modeling Within-Person Fluctuation and Change - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eLesa Hoffman\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cem\u003eLongitudinal Analysis\u003c\/em\u003e provides an accessible, application-oriented treatment of introductory and advanced linear models for within-person fluctuation and change. Organized by research design and data type, the text uses in-depth examples to provide a complete description of the model-building process. The core longitudinal models and their extensions are presented within a multilevel modeling framework, paying careful attention to the modeling concerns that are unique to longitudinal data. Written in a conversational style, the text provides verbal and visual interpretation of model equations to aid in their translation to empirical research results. Overviews and summaries, boldfaced key terms, and review questions will help readers synthesize the key concepts in each chapter. \u003c\/p\u003e\u003ci\u003e \u003c\/i\u003e\u003cp\u003eWritten for non-mathematically-oriented readers, this text features: \u003c\/p\u003e \u003cul\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eA description of the data manipulation steps required prior to model estimation so readers can more easily apply the steps to their own data\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eAn emphasis on how the terminology, interpretation, and estimation\u003ci\u003e　\u003c\/i\u003eof familiar general linear models relates to those of more complex models for longitudinal data \u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eIntegrated model comparisons, effect sizes, and statistical inference in each example to strengthen readers' understanding of the overall model-building process\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eSample results sections for each example to provide useful templates for published reports\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eExamples using both real and simulated data in the text, along with syntax and output for SPSS, SAS, STATA, and M\u003ci\u003eplus\u003c\/i\u003e　at　www.PilesOfVariance.com　to help readers apply the models　to their own data\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eThe book opens with the building blocks of longitudinal analysis-general ideas, the general linear model for between-person analysis, and between- and within-person models for the variance and the options within repeated measures analysis of variance. Section 2 introduces \u003ci\u003eunconditional \u003c\/i\u003elongitudinal models including alternative covariance structure models to describe within-person fluctuation over time and random effects models for within-person change. \u003ci\u003eConditional \u003c\/i\u003elongitudinal models are presented in section 3, including both time-invariant and time-varying predictors. Section 4 reviews advanced applications, including alternative metrics of time in accelerated longitudinal designs, three-level models for multiple dimensions of within-person time, the analysis of individuals in groups over time, and repeated measures designs not involving time. The book concludes with additional considerations and future directions, including an overview of sample size planning and other model extensions for non-normal outcomes and intensive longitudinal data.\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003eClass-tested at the University of Nebraska-Lincoln and in intensive summer workshops, this is　an ideal text for graduate-level courses on　longitudinal analysis or general multilevel modeling taught in psychology, human development and family studies, education, business, and other behavioral, social, and health sciences. The book's accessible approach will also help those trying to learn on their own. Only familiarity with general linear models (regression, analysis of variance) is needed for this text.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eLesa Hoffman\u003c\/strong\u003e is the Scientific Director of the Research Design and Analysis Unit and Associate Professor of Quantitative Methods in the Schiefelbusch Institute for Life Span Studies at the University of Kansas.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 626\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.4 x 9.8 x 6.9 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 01, 2014\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":43805062987911,"sku":"9780415876025","price":205.72,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0601\/2623\/2711\/files\/Bp5hQGrK3L9780415876025.webp?v=1770177085","url":"https:\/\/booksby.splitshops.com\/products\/longitudinal-analysis-modeling-within-person-fluctuation-and-change-paperback","provider":"Books by splitShops","version":"1.0","type":"link"}