Artboard 33Artboard 16Artboard 18Artboard 13Artboard 42Artboard 21Artboard 4Artboard 5Artboard 45Artboard 22Artboard 7Artboard 42Artboard 23Artboard 12Artboard 28Artboard 17?Artboard 28Artboard 43Artboard 49Artboard 47Artboard 15Artboard 32Artboard 6Artboard 22Artboard 5Artboard 25Artboard 1Artboard 42Artboard 11Artboard 41Artboard 11Artboard 23Artboard 10Artboard 4Artboard 9Artboard 6Artboard 8Artboard 7Artboard 3Artboard 12Artboard 25Artboard 34Artboard 43Artboard 44Artboard 16Artboard 24Artboard 13Artboard 5Artboard 24Artboard 31Artboard 1Artboard 12Artboard 27Artboard 30Artboard 36Artboard 44Artboard 9Artboard 17Artboard 6Artboard 27Artboard 30Artboard 29Artboard 26Artboard 2Artboard 20Artboard 35Artboard 15Artboard 14Artboard 50Artboard 26Artboard 14Artboard 40Artboard 21Artboard 10Artboard 37Artboard 46Artboard 33Artboard 8
e-book

Longitudinal Analysis - Modeling Within-Person Fluctuation and Change (Cód: 9622768)

Lesa Hoffman

Taylor & Francis Ltd (Livros Digitais)

Ooops! Este produto não está mais a venda.
Mas não se preocupe, temos uma versão atualizada para você.

Ooopss! Este produto está fora de linha, mas temos outras opções para você.
Veja nossas sugestões abaixo!

R$ 264,00

em até 8x de R$ 33,00 sem juros

Total:

Em até 1x sem juros de


Crédito:
Boleto:
Cartão Saraiva:

Total:

Em até 8x sem juros de


Longitudinal Analysis - Modeling Within-Person Fluctuation and Change

R$264,00

Descrição

Longitudinal Analysis 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.
Written for non-mathematically-oriented readers, this text features:


A description of the data manipulation steps required prior to model estimation so readers can more easily apply the steps to their own data


An emphasis on how the terminology, interpretation, and estimation?of familiar general linear models relates to those of more complex models for longitudinal data


Integrated model comparisons, effect sizes, and statistical inference in each example to strengthen readers'apos; understanding of the overall model-building process


Sample results sections for each example to provide useful templates for published reports


Examples using both real and simulated data in the text, along with syntax and output for SPSS, SAS, STATA, and Mplus?at?www.PilesOfVariance.com?to help readers apply the models?to their own data
The 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 unconditional longitudinal models including alternative covariance structure models to describe within-person fluctuation over time and random effects models for within-person change. Conditional longitudinal 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.

Class-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'apos;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.

Características

Peso 0.00 Kg
Produto sob encomenda Não
Marca Taylor & Francis Ltd (Livros Digitais)
Número de Páginas 654 (aproximado)
Idioma 337
Acabamento e-book
Início da Venda 30/01/2015
Cód. Barras 9781317591092
Ano da Publicação 2015
AutorLesa Hoffman