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Applied longitudinal data analysis : modeling change and event occurrence

Author: Judith D Singer; John B Willett
Publisher: Oxford ; New York : Oxford University Press, ©2003.
Edition/Format:   Book : EnglishView all editions and formats
Database:WorldCat
Summary:
"Applied Longitudinal Data Analysis is a much-needed professional book for empirical researchers and graduate students in the behavioral, social, and biomedical sciences. It offers the first accessible in-depth presentation of two of today's most popular statistical methods: multilevel models for individual change and hazard/survival models for event occurrence (in both discrete- and continuous-time). Using clear,
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Judith D Singer; John B Willett
ISBN: 0195152964 9780195152968
OCLC Number: 49773716
Description: xx, 644 p. : ill. ; 24 cm.
Contents: A Framework for Investigating Change over Time --
When Might You Study Change over Time? --
Distinguishing Between Two Types of Questions about Change --
Three Important Features of a Study of Change --
Exploring Longitudinal Data on Change --
Creating a Longitudinal Data Set --
Descriptive Analysis of Individual Change over Time --
Exploring Differences in Change across People --
Improving the Precision and Reliability of OLS-Estimated Rates of Change: Lessons for Research Design --
Introducing the Multilevel Model for Change --
What Is the Purpose of the Multilevel Model for Change? --
The Level-1 Submodel for Individual Change --
The Level-2 Submodel for Systematic Interindividual Differences in Change --
Fitting the Multilevel Model for Change to Data --
Examining Estimated Fixed Effects --
Examining Estimated Variance Components --
Doing Data Analysis with the Multilevel Model for Change --
Example: Changes in Adolescent Alcohol Use --
The Composite Specification of the Multilevel Model for Change --
Methods of Estimation, Revisited --
First Steps: Fitting Two Unconditional Multilevel Models for Change --
Practical Data Analytic Strategies for Model Building --
Comparing Models Using Deviance Statistics --
Using Wald Statistics to Test Composite Hypotheses About Fixed Effects --
Evaluating the Tenability of a Model's Assumptions --
Model-Based (Empirical Bayes) Estimates of the Individual Growth Parameters --
Treating TIME More Flexibly --
Variably Spaced Measurement Occasions --
Varying Numbers of Measurement Occasions.
Responsibility: by Judith B. Singer and John B. Willett.
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Abstract:

The investigation of change has fascinated empirical researchers for generations, and to do it well, they must have longitudinal data. This book instructs readers in the various methodologies to make  Read more...

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"The book begins with an excellent introduction to the types of questions that might be answered by a longitudinal study...After a chapter with sensible suggestions for exploratory analysis... Read more...

 
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