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

This is one of the books available for loan from Academic Technology Services (see Statistics Books for Loan for other such books, and details about borrowing). We encourage you to obtain Applied Longitudinal Data Analysis, written by Judith D. Singer and John B. Willett, published by the Oxford University Press, to gain a deeper conceptual understanding of the analysis illustrated (see Where to buy books for tips on different places you can buy this book).  We are very grateful to the authors for granting us permission to create these pages and to distribute the data files via our web pages. (In addition to the data formats below, you can also download the data files as comma separated text files).

Also see Longitudinal Research: Present Status and Future Prospects by Judith Singer & John Willett, containing downloadable notes and movies drawing from examples in their book.

Note: The files for MLwiN here were created for older version of MLwiN (version 2.0 and older). The newer version of MLwiN is compatible with these files. But the newer version of the same files created at MLwiN site will only work for newer version of MLwiN (version 2.10). Please visit MLwiN site to download the files and for other MLwiN related information.

Note: The files for HLM consists of two types of files, the data files in SPSS format and the corresponding .mdmt (template) file for creating the binary HLM files. (Updated in January, 2012).

  Mplus
MLwiN
HLM SAS Stata R SPSS Chapter Title
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Data
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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 Chap 3 Chap 3 Introducing the multilevel model for change
Chapter 4   Chap 4 Chap 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 Chap 5 Chap 5 Treating time more flexibly
Chapter 6 Chap 6 Chap 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 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 Extending the Cox regression model
Supplemental
Examples
Chap 5   Chap 5          

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