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catalog abstract ""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, concise prose and real data sets from published studies, the authors take you step by step through complete analyses, from simple exploratory displays that reveal underlying patterns through sophisticated specifications of complex statistical models." "Applied Longitudinal Data Analysis offers readers a private consultation session with internationally recognized experts and represents a unique contribution to the literature on quantitative empirical methods."--Jacket.".
catalog contributor b12633758.
catalog contributor b12633759.
catalog created "2003.".
catalog date "2003".
catalog date "2003.".
catalog dateCopyrighted "2003.".
catalog description ""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, concise prose and real data sets from published studies, the authors take you step by step through complete analyses, from simple exploratory displays that reveal underlying patterns through sophisticated specifications of complex statistical models."".
catalog description ""Applied Longitudinal Data Analysis offers readers a private consultation session with internationally recognized experts and represents a unique contribution to the literature on quantitative empirical methods."--Jacket.".
catalog description "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.".
catalog description "Includes bibliographical references (p. 613-626) and index.".
catalog extent "xx, 644 p. :".
catalog identifier "0195152964 (acid-free)".
catalog issued "2003".
catalog issued "2003.".
catalog language "eng".
catalog publisher "Oxford ; New York : Oxford University Press,".
catalog subject "001.4/2 21".
catalog subject "H62 .S47755 2003".
catalog subject "Longitudinal method.".
catalog subject "Social sciences Research.".
catalog tableOfContents "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.".
catalog title "Applied longitudinal data analysis : modeling change and event occurrence / Judith D. Singer, John B. Willett.".
catalog type "text".