Longitudinal Analysis Modeling Within Person Fluctuation and Change 1st Edition by Lesa Hoffman ISBN 9780415876025 0415876025
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ISBN 10: 0415876025
ISBN 13: 9780415876025
Author: Lesa Hoffman
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’ 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’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.
Table of contents:
Section 1: Building Blocks for Longitudinal Analysis
Chapter 1: Introduction to the Analysis of Longitudinal Data
Chapter 2: Between-Person Analysis and Interpretation of Interactions
Chapter 3: Introduction to Within-Person Analysis and Model Comparisons
Section 2: Modeling the Effects of Time
Chapter 4: Describing Within-Person Fluctuation over Time
Chapter 5: Introduction to Random Effects of Time and Model Estimation
Chapter 6: Describing Within-Person Change over Time
Section 3: Modeling the Effects of Predictors
Chapter 7: Time-Invariant Predictors in Longitudinal Models
Chapter 8: Time-Varying Predictors in Models of Within-Person Fluctuation
Chapter 9: Time-Varying Predictors in Models of Within-Person Change
Section 4: Advanced Applications
Chapter 10: Analysis over Alternative Metrics and Multiple Dimensions of Time
Chapter 11: Analysis of Individuals within Groups over Time
Chapter 12: Analysis of Repeated Measures Designs Not Involving Time
Chapter 13: Additional Considerations and Related Models
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