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Textbook and Paper Examples

This page lists all of the books and papers for which we have developed web pages showing how to solve the examples using common statistical packages. We encourage you to obtain the textbooks or papers associated with these pages to gain a deeper conceptual understanding of the analyses illustrated (see our suggestions on Where to buy books).  We are very grateful to the authors of these textbooks and papers for granting us permission to create these pages and to distribute their data files via our web pages.   These books are just some of the books available for you to borrow via our Statistics Books for Loan.

Textbook Examples

• Analysis of Variance
  • Design and Analysis: A Researchers Handbook (Third Edition) by Geoffrey Keppel
  • Experimental Design by Roger Kirk
• Econometrics and Time Series
  • Econometric Analysis by William Greene
  • Introductory Econometrics: A Modern Approach by Jeffrey M. Wooldridge (courtesy of the Faculty Micro Resource Center's GSA Program, a unit of Boston College Academic Technology Support)
  • Econometric Analysis of Cross Section and Panel Data by Jeffrey M. Wooldridge
  • Analysis of Financial Time Series by Ruey Tsay (links to RATS web site, book not available for loan)
  • Econometrics by Fumio Hayashi (links to RATS web site, book not available for loan)
  • Time Series Analysis by James D. Hamilton (links to RATS web site, book not available for loan)
  • Basic Econometrics, Fourth Edition by Damodar N. Gujariti (links to RATS web site, book not available for loan)
  • Elements of Forecasting by Francis X. Diebold (see also examples solved using RATS)
  • Econometrics by Badi Baltagi (links to RATS web site, book not available for loan)
  • A Guide to Modern Econometrics by Marno Verbeek (links to RATS web site, book not available for loan)
• Generalized Linear Models
  • An Introduction to Generalized Linear Models, Second Edition by Annette J. Dobson
• Graphics
  • Visualizing Data by William S. Cleveland
• Introductory Statistics
  • Introduction to the Practice of Statistics by David Moore and George McCabe
  • Statistical Method for the Social Sciences by Alan Agresti and Barbara Finley
• Longitudinal Data Analysis
  • Latent Curve Models: A Structural Equation Perspective by Kenneth A. Bollen and Patrick J. Curran
  • Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence by Judith D. Singer and John B. Willett
  • Applied Longitudinal Analysis by Garrett M. Fitzmaurice, Nan M. Laird and James H. Ware
  • Modeling Longitudinal Data by Robert Weiss
• Logistic Regression and Related Methods
  • Applied Logistic Regression (Second Edition) by David Hosmer and Stanley Lemeshow
  • Applied Logistic Regression by David Hosmer and Stanley Lemeshow
  • Regression Models for Categorical and Limited Dependent Variables by J. Scott Long 
  • An Introduction to Categorical Data Analysis by Alan Agresti 
• Multilevel Modeling
  • Introduction to Multilevel Modeling by Ita Kreft and Jan de Leeuw
  • Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling by Tom Snijders and Roel Bosker
  • Multilevel Analysis: Techniques and Applications by Joop Hox
  • Multilevel Statistical Analysis by Harvey Goldstein
• Multivariate Statistics
  • Practical Multivariate Analysis, Fifth Edition by A. Afifi, S. May and V. Clark
  • Computer-Aided Multivariate Analysis, Fourth Edition by A. Afifi, V. Clark and S. May
  • Using Multivariate Statistics Fourth Edition by Barbara Tabachnick and Linda Fidell
• Regression Methods
  • Applied Regression Analysis, Linear Models, and Related Methods by John Fox
  • Regression Analysis by Example by Samprit Chatterjee, Ali S. Hadi and Bertram Price
  • Regression with Graphics by Lawrence Hamilton
  • Statistical Methods for Categorical Data Analysis by Daniel Powers and Yu Xie
  • Applied Linear Statistical Models, Fourth Edition, by Neter, Kutner, Nachtsheim, and Wasserman
  • Multiple Regression: Testing and Interpreting Interactions by Leona S. Aiken and Steven G. West
  • Applied Linear Regression, Third Edition by Sanford Weisberg (via University of Minnesota)
  • Methods Matter: Improving Causal Inference in Educational and Social Science Research by Richard J. Murnane and John B. Willett
• Survey Sampling
  • Sampling of Populations: Methods and Applications, Third Edition by Paul Levy and Stanley Lemeshow
  • Practical Methods for Design and Analysis of Complex Surveys, Revised Edition by Risto Lehtonen and Erkki Pahkinen
  • Elementary Survey Sampling, Fifth Edition by Scheaffer, Mendenhall and Ott
  • Sampling:  Design and Analysis by Sharon L. Lohr
• Survival Analysis
  • Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence by Judith D. Singer and John B. Willett
  • Applied Survival Analysis, Second Edition by David W. Hosmer, Jr., Stanley Lemeshow and Susanne May
  • Applied Survival Analysis by David W. Hosmer, Jr. and Stanley Lemeshow
  • Survival Analysis: Techniques for Censored and Truncated Data by Klein and Moeschberger 
• Latent Variable Models/Latent Class Models
  • Exploratory and Confirmatory Factor Analysis by Bruce Thompson
  • Latent Class Scaling Analysis by C. Mitchell Dayton
  • Applied Latent Class Analysis Edited by Jacques A. Hagenaars and Allan L. McCutcheon
  • Latent Class Analysis by Allan L. McCutcheon
  • Generalized Latent Variable Modeling:  Multilevel, Longitudinal, and Structural Equation Models by Anders Skrondal and Sophia Rabe-Hesketh

Paper Examples

• Using SAS PROC MIXED to fit multilevel models, hierarchical models and individual growth models by Judith Singer
• Tutorial in biostatistics: An introduction to hierarchical linear modeling by Lisa M. Sullivan, Kimberly A. Dukes, and Elena Losina
• Visualising multilevel models: The initial analysis of data by John F. Bell
• Racial Intermarriage Pairings by Vincent Kang Fu
• Using Graphs Instead of Tables in Political Science by Jonathan P. Kastellec and Eduardo L. Leoni
• Do self-report instruments allow meaningful comparisons across diverse population groups? Testing measurement invariance using the confirmatory factor analysis framework by Steven E. Gregorich.
• Using multilevel models to analyze couple and family treatment data: Basic and advanced issues by David C. Atkins
  • SPSS Syntax to accompany
  • R Syntax to accompany
  • data set for the examples
• Re-thinking how family researchers model infrequent outcomes: A tutorial on count regression and zero-inflated models by David C. Atkins and Robert J. Gallop
  • Overview of web appendices (pdf)
  • SAS - Infrequent outcomes web appendix
  • SPSS - Infrequent outcomes web appendix
  • R - Infrequent outcomes web appendix
  • Mplus - Infrequent outcomes web appendix
  • R - Multilevel zero-inflated negative binomial web appendix
  • Data set for the examples

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