Textbook Examples Applied Longitudinal Data Analysis: Modeling Change and Event Occurrenceby Judith D. Singer and John B. Willett

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Longitudinal Data Analysis, written by
Judith D. Singer and John B. Willett, published by the
Oxford University Press,
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	Mplus	SAS	Stata	R	SPSS	Chapter Title
Download Data	Download	Download	Download	Download	Download	Table of Contents
Chapter 1						A framework for investigating change over time
Chapter 2		Chap 2	Chap 2	Chap 2	Chap 2	Exploring longitudinal data on change
Chapter 3		Chap 3	Chap 3	Chap 3	Chap 3	Introducing the multilevel model for change
Chapter 4		Chap 4	Chap 4	Chap 4	Chap 4	Doing data analysis with the multilevel model for change
Chapter 5	Chap 5	Chap 5	Chap 5	Chap 5	Chap 5	Treating time more flexibly
Chapter 6	Chap 6	Chap 6	Chap 6	Chap 6	Chap 6	Modeling discontinuous and nonlinear change
Chapter 7	Chap 7	Chap 7	Chap 7	Chap 7	Chap 7	Examining the multilevel model’s error covariance structure
Chapter 8	Chap 8	Chap 8	Chap 8			Modeling change using covariance structure analysis
Chapter 9		Chap 9	Chap 9	Chap 9	Chap 9	A framework for investigating event occurrence
Chapter 10		Chap 10	Chap 10	Chap 10	Chap 10	Describing discrete-time event occurrence data
Chapter 11	Chap 11	Chap 11	Chap 11	Chap 11	Chap 11	Fitting basic discrete-time hazard models
Chapter 12		Chap 12	Chap 12	Chap 12	Chap 12	Extending the discrete-time hazard model
Chapter 13		Chap 13	Chap 13	Chap 13	Chap 13	Describing continuous-time event occurrence data
Chapter 14		Chap 14	Chap 14	Chap 14	Chap 14	Fitting the Cox regression model
Chapter 15		Chap 15	Chap 15	Chap 15	Chap 15	Extending the Cox regression model
Supplemental Examples	Chap 5