Data analysis using stata third edition pdf free download

The Institute for Digital Research and Education (IDRE) has a collection of books on statistics and statistical computing available for UCLA researchers to borrow on a short term basis to help with research.  Many of the books have web pages associated with them that have the data files for the book and web pages showing how to perform the analyses from the book using packages like SAS, Stata, SPSS, etc. Please see our Textbook Examples page.

• Loan Policies
  • When & Where. The books listed below may be borrowed by visiting Statistical Consulting in Math Sciences during walk-in consulting hours.
  • How Long? Books are due two weeks from the time you borrow them and you may have a total of two books on loan at any given time. Although you can have a book for two weeks, we kindly request that you return the book early if you are finished with it early&#; this helps to keep books in stock for other borrowers.
  • Renewals? Books cannot be renewed.
  • Policy on Late Returns! It is important to return your book on time, and if you do not return your book on time it will be counted as late.  If you have three late returns, you will no longer be permitted to borrow books.
  • Returning books:  Please return books during regular consulting hours.  If you cannot stop by during regular consulting hours, you may return your book(s) to the main IDRE office, MS (on the fifth floor).  This office is open Monday through Friday, 8 a.m. to 5 p.m.
  • Please do NOT:
    • leave books on the floor outside of the consulting office.
    •  mail books back to us, as they tend to get lost in the mail. If  you know that you will be going out of town, it is your responsibility to return your book(s) before you leave.
• Where to buy the books? Once you have borrowed a book, you may find that it is a book that you would like to own, and you would like to buy your own copy.  See Where to buy books for tips on different places you can buy these books.
• Want to Look Inside Some of These (or other) Books Many of these books are available at rushbrookrathbone.co.uk which permits you to peek inside the books to view a limited number of pages. You can visit rushbrookrathbone.co.uk or use the search box below to search for books.
• Table of Contents

Books for Loan

• Analysis of Variance
  • General Issues in ANOVA
    • Computer-Assisted Research Design and Analysis by Barbara Tabachnick and Linda Fidell
    • Design and Analysis: A Researcher&#;s Handbook, Fourth Edition by Geoffrey Keppel and Thomas Wickens
    • Design and Analysis: A Researcher&#;s Handbook, Third Edition by Geoffrey Keppel
    • Experimental Design: Procedures for the Behavioral Sciences, Fourth Edition by Roger Kirk
    • Experimental Design: Procedures for the Behavioral Sciences, Third Edition by Roger Kirk
    • Designing Experiments and Analyzing Data, Second Edition by Scott Maxwell and Harold Delaney
    • Designing Experiments and Analyzing Data by Scott Maxwell and Harold Delaney
    • Statistics for Experimenters:  An Introduction to Design, Data Analysis and Model Building by George E. P. Box, William G. Hunter and J. Stuart Hunter
    • Introducing ANOVA and ANCOVA:  A GLM Approach by Andrew Rutherford
    • Introduction to Analysis of Variance: Design, Analysis and Interpretation by J. Rick Turner and Julian F. Thayer
    • Applied Linear Statistical Models by Neter, Kutner, Nachtsheim and Wasserman (located in regression section)
    • Statistical Principles in Experimental Design, Second Edition by J. B. Winer
    • Applied Statistics:  Analysis of Variance and Regression by Olive Jean Dunn and Virginia A. Clark
    • Statistical Group Comparison by Tim Futing Liao
    • Components of Variance by D.R. Cox and P. J Solomon
  • Specific Issues in ANOVA
• Bayesian Methods
  • Bayesian Statistics:  An Introduction, Third Edition by Peter M. Lee
  • Bayes and Empirical Bayes Methods for Data Analysis, Second Edition by Bradley P Carlin Thomas A Louis (Online Only, UC Only)
  • Statistical Rethinking:  A Bayesian Course with Examples in R and Stan by Richard McElreath (2 copies)
  • Bayesian Methods: A Social and Behavioral Sciences Approach by Jeff Gill
  • Bayesian Inference and Decision, Second Edition by Robert L. Winkler
  • Bayesian Theory by José M. Bernardo and Adrian F. M. Smith
  • Bayesian Statistical Modeling by Peter Congdon
  • Bayesian Data Analysis, Second Edition by Andrew Gelman, John B. Carlin, Hal S. Stern and Donald B. Rubin
  • Kendall&#;s Advanced Theory of Statistics Volume 2B:  Bayesian Inference, Second Edition by Anthony O&#;Hagan and Jonathan Forster
  • Markov Chain Monte Carlo:  Stochastic Simulation for Bayesian Inference by Dani Gamerman
• Bootstrap, Resampling and Robust Methods
  • Bootstrapping: A Nonparametric Approach to Statistical Inference by Christopher Mooney and Robert Duval
  • An Introduction to the Bootstrap by Bradley Efron and Robert Tibshirani
  • The Jackknife and Bootstrap by Jun Shao and Dongsheng Tu
  • Permutation Tests: A Practical Guide to Resampling Methods for Testing Hypotheses by Phillip Good
  • Resampling Methods: A practical guide to data analysis by Phillip Good
  • Randomization, Bootstrap and Monte Carlo Methods in Biology by Bryan J. Manly
  • Data Analysis by Resampling by Clifford E. Lunneborg
  • Bootstrap Methods: A Practitioner&#;s Guide by Michael R. Chernick
  • Resampling: The New Statistics by Julian L. Simon Second Edition (Download Only!)
  • Resampling Methods for Dependent Data by S. N. Lahiri
  • Monte Carlo Simulation by Christopher Z. Mooney
• Communication
  • Best Practices for Teaching Statistics and Research Methods in the Behavioral Sciences Edited by Dana S. Dunn, Randolph A. Smith, and Bernard C. Beins
  • The Cognitive Style of PowerPoint by Edward R. Tufte
  • Displaying Your Findings:  A Practical Guide for Creating Figures, Posters and Presentations by Adelheid A. M. Nicol and Penny M. Pexman
  • Presenting Your Findings:  A Practical Guide for Creating Tables by Adelheid A. M. Nicol and Penny M. Pexman
  • How to Report Statistics in Medicine:  Annotated Guidelines for Authors, Editors and Reviewers, Second Edition by Thomas A. Lang and Michelle Secic
  • Learning and Teaching on the World Wide Web edited by Christopher R. Wolfe
  • Proposals That Work:  A Guide to Planning Dissertation and Grant Proposals, Fourth Edition by Lawrence F. Locke, Waneen Wyrick Spirduso and Stephen J. Silverman
  • Secrets for a Successful Dissertation by Jacqueline Fitzpatrick, Jan Secrist and Debra J. Wright
  • Speaking about Science:  A Manual for Creating Clear Presentations by Scott Morgan and Barrett Whitener
  • Surviving Your Dissertation:  A Comprehensive Guide to Content and Process, Third Edition by Kjell Erik Rudestam and Rae R. Newton
  • Winning Grants:  Step by Step, Second Edition by Mim Carlson
  • Writing the NIH Grant Proposal:  A Step-by-step Guide by William Gerin
• Data Mining
  • Data Mining Techniques for Marketing, Sales, and Customer Support by Michael J. A. Berry and Gordon Linoff
  • Mastering Data Mining: The Art and Science of Customer Relationship Management by Michael J. A. Berry and Gordon S. Linoff
  • The Elements of Statistical Learning:  Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani and Jerome Friedman
  • Handbook of Data Mining Edited by Nong Ye
• Economics and Time Series
  • Time-Series Forecasting by Chris Chatfield (Online Only, UC Only)
  • The Analysis of Time Series: An Introduction by Chris Chatfield
  • Using Econometrics: A Practical Guide, Fourth Edition by A. H. Studenmund
  • Introductory Econometrics:  A Modern Approach, Second Edition by Jeffrey M. Wooldridge
  • 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)
  • A Guide to Econometrics, Fifth Edition by Peter Kennedy
  • Econometrics by Fumio Hayashi
  • Econometric Analysis of Cross Section and Panel Data by Jeffrey M. Wooldridge
  • Solution Manual and Supplementary Materials for Econometric Analysis of Cross Sectional and Panel Data by Jeffrey M. Wooldridge
  • Econometric Analysis, Fifth Edition by William Greene
  • Econometric Analysis, Fourth Edition by William Greene
  • Microeconometrics:  Methods and Applications by A. Colin Cameron and Pravin K. Trivedi
  • Econometric Methods, Fourth Edition by Jack Johnston and John Dinardo
  • Econometric Analysis of Panel Data Sets by Badi H. Baltagi
  • An Introduction to Time Series Analysis and Forecasting: with Applications of SAS and SPSS by Robert A. Yaffee and Monnie McGee
  • Elements of Forecasting by Francis X. Diebold (see also examples solved using RATS)
  • Panel Data Econometrics: Methods-of-Moments and Limited Dependent Variables by Myoung-jae Lee
  • Analysis of Panel Data, Second Edition by Cheng Hsiao
  • Estimation and Inference in Econometrics by Davidson and Mackinnon
  • Nonparametric Econometrics by Adrian Pagan and Aman Ullah
  • Economics and Data Analysis for Developing Countries by Chandan Mukherjee, Howard White and Marc Wuyts
  • Econometric Theory by James Davidson
• Epidemiology
  • Modern Epidemiology by Kenneth Rothman and Sander Greenland
  • Epidemiology: An Introduction by Kenneth J. Rothman
  • Biostatistical Methods in Epidemiology by Stephen C. Newman
  • Statistical Methods in Cancer Research: The Analysis of Case-Control Studies by N. E. Breslow and N. Day
  • Statistical Modeling for Biomedical Researchers A Simple Introduction to the Analysis of Complex Data by William D. Dupont
• Experimental Design and Analysis
  • Empirical Directions in Design and Analysis by Norman H. Anderson
  • Experimental and Quasi-experimental Designs for Generalized Causal Inference by William R. Shadish, Thomas D. Cook and Donald T. Campbell
  • Experimental and Quasi-experimental Designs for Research by Donald T. Campbell and Julian C. Stanley
  • Validity and Social Experimentation: Donald Campbell&#;s Legacy, Volume I Edited by Leonard Bickman
  • Research Design: Donald Campbell&#;s Legacy, Volume I Edited by Leonard Bickman
  • Social Measurement by Donald T. Campbell and M. Jean Russo
  • Unobtrusive Measures, Revised Edition by Eugene J. Webb, Donald T. Campbell, Richard D. Schwartz and Lee Sechrest
  • Measurement, Design, and Analysis by Elazar J. Pedhazur and Liora Pedhazur Schmelkin
  • How To Design and Report Experiments by Andy Field and Graham Hole
  • Statistics as Principled Argument by Robert P. Abelson
  • Quasi-Experimentation: Design and Analysis Issues for Field Settings by Thomas D. Cook and Donald T. Campbell
  • Causality: Models, Reasoning and Inference by Judea Pearl
  • Beyond Significance Testing:  Reforming Data Analysis Methods in Behavioral Research by Rex B. Kline
  • Rival Hypotheses:  Alternative Interpretations of Data Based Conclusions by Schuyler W. Huck and Howard M. Sandler
  • Statistical Illusions:  Problems by Schuyler W. Huck and Howard M. Sandler
  • Statistical Illusions:  Solutions by Schuyler W. Huck and Howard M. Sandler
  • How to Think Straight about Psychology, Seventh Edition by Keith E. Stanovich
  • Design and Analysis of Ecological Experiments, Edited by Samuel M. Scheiner and Jessica Gurevitch
  • Statistics for Experimenters:  Design, Innovation and Discovery, Second Edition by George E. P. Box, J. Stuart Hunter and William G. Hunter
• Factor Analysis
  • An Easy Guide to Factor Analysis by Paul Kline
  • Exploratory Factor Analysis by Leandre R. Fabrigar and Duane T. Wegener
  • Making Sense of Factor Analysis:  The Use of Factor Analysis for Instrument Development in Health Care Research by Marjorie A. Pett, Nancy R. Lackey and John J. Sullivan
  • Factor Analysis at   Historical Developments and Future Directions edited by Robert Cudeck and Robert C. MacCallum
  • Exploratory and Confirmatory Factor Analysis:  Understanding Concepts and Applications by Bruce Thompson
  • A First Course in Factor Analysis by Andrew L. Comrey
  • Modern Factor Analysis, Second Edition, Revised by Harry H. Harman
  • Confirmatory Factor Analysis for Applied Research by Timothy A. Brown
• Generalized Linear Models
  • An Introduction to Generalized Linear Models, Second Edition by Annette J. Dobson Read it Online! (UC Only)
  • An Introduction to Generalized Linear Models by George H. Dunteman and Moon-Ho R. Ho
  • Generalized, Linear, and Mixed Models by Charles E. McCulloch and Shayle R. Searle
  • Generalized Estimating Equations, Second Edition by James W. Hardin and Joseph M. Hilbe
  • Generalized Estimating Equations by James W. Hardin and Joseph M. Hilbe
  • Generalized Linear Models: A Unified Approach by Jeff Gill
  • Generalized Linear Models, Second Edition by P. McCullagh and J. A. Nelder
  • Generalized Linear Models:  An Applied Approach by Ulf Olsson
  • Generalized Linear Models: An Applied Approach by John P. Hoffmann
  • Generalized Linear Models with Applications in Engineering and the Sciences, Second Edition by Raymond H. Myers, Douglas C. Montgomery, G. Geoffery Vining, and Timothy J. Robinson
• Graphics
  • Envisioning Information by Edward R. Tufte
  • Graphics of Large Datasets:  Visualizing a Million by Antony Unwin, Martin Theus and Heike Hofmann
  • The Grammar of Graphics, Second Edition by Leland Wilkinson
  • The Visual Display of Quantitative Information by Edward R. Tufte
  • Visual Explanations by Edward R. Tufte
  • Visual and Statistical Thinking:  Displays of Evidence for Making Decisions by Edward R. Tufte
  • Visualizing Data by William S. Cleveland
• Introductory Statistics
  • Introduction to the Practice of Statistics by Moore and McCabe
  • Statistics for Psychologists by William Hays
  • Hands-on Sociology, Third Edition by William Feigelman and Yih-Jin Young
  • Quantitative Data Analysis:  Doing Social Research to Test Ideas by Donald J. Treiman
  • Common Errors in Statistics (and How to Avoid Them) by Phillip I. Good and James W. Harden
  • A Primer of Ecological Statistics by Nicholas J. Gotelli and Aaron M. Ellsion
  • Your Statistical Consultant:  Answers to Your Data Analysis Questions by Rae R. Newton and Kjell Erik Rudestam
  • Biostatistics: A Methodology for the Health Sciences, Second Edition by Gerald van Belle, Lloyd D. Fisher, Patrick L. Heagerty and Thomas Lumley
  • Principles of Biostatistics, Second Edition by Marcello Pagano and Kimberlee Gauvreau
  • Fundamentals of Modern Statistical Methods by Rand Wilcox
  • Statistical Methods for Psychology, Seventh Edition by David C. Howell
  • Beyond ANOVA:  Basics of Applied Statistics by Rupert G. Miller, Jr.
  • Statistical Graphics for Univariate and Bivariate Data by William Jacoby (2 copies)
  • An Introduction to Medical Statistics Third Edition by Martin Bland
  • Making Sense of Data A Self-Instruction Manual on the Interpretation of Epidemiological Data, Third Edition by J. H Abramson and Z. H. Abramson
  • Medical Statistics Made Easy by M. Harris and G. Taylor
  • A &#; Z of Medical Statistics a Companion for Critical Appraisal by Filomena Pereira-Maxwell
  • Correlation Parametric and Nonparametric Measures by Peter Y. Chen and Paula M. Popovich
  • Statistical Methods for the Social Sciences by Alan Agresti and Barbra Finlay
  • Statistical Analysis: An Interdisciplinary Introduction to Univariate and Multivariate Methods by Sam Kash Kachigan
  • Modeling Experimental and Observational Data by Clifford E. Lunneborg
  • Applying Contemporary Statistical Techniques by Rand R. Wilcox
  • Conned Again, Watson! Cautionary Tales of Logic, Math, and Probability by Colin Bruce
  • The Lady Tasting Tea: How Statistics Revolutionized Science in the 20th Century by David Salsburg
  • Stat Labs : Mathematical Statistics Through Applications by Deborah Nolan and Terry Speed
• Item Response Theory and Scale Development
  • Fundamentals of Item Response Theory by Ronald K. Hambleton, H. Swaminathan and H. Jane Rogers
  • Explanatory Item Response Models:  A Generalized Linear and Nonlinear Approach, Edited by Paul De Boeck and Mark Wilson
  • Handbook of Modern Item Response Theory edited by Wim J. van der Linden and Ronald K. Hambleton
  • Rasch Models for Measurement by David Andrich
  • Applying the Rasch Model:  Fundamental Measurement in the Human Sciences by Trevor G. Bond and Christine M. Fox
  • Introduction to Nonparametric Item Response Theory by Klaas Sijtsma and Ivo W. Molenaar
  • Polytomous Item Response Theory Models by Remo Ostini and Michael L. Nering
  • Item Response Theory for Psychologists by Susan E. Embretson and Steven P. Reise
  • Item Response Theory:  Parameter Estimation Techniques, Second Edition, Revised and Expanded by Frank B. Baker and Seock-Ho Kim
  • Test Theory:  A Unified Treatment by Roderick P. McDonald
  • Psychometric Theory, Third Edition by Jum C. Nunnally and Ira H. Bernstein
  • Contemporary Psychometrics Edited by Albert Maydeu-Olivares and John J. McArdle
  • Reliability and Validity Assessment by Edward G. Carmines and Richard A. Zeller
  • Scale Development:  Theory and Applications, Second Edition by Robert F. DeVellis
  • Scaling Procedures:  Issues and Applications by Richard G. Netemeyer, William O. Bearden and Subhash Sharma
  • Summated Rating Scale Construction:  An Introduction by Paul E. Spector
  • Constructing Measures:  An Item Response Modeling Approach by Mark Wilson
  • Health Measurement Scales:  A Practical Guide to Their Development and Use, Third Edition by David L. Streiner and Geoffrey R. Norman
  • Score Reliability:  Contemporary Thinking on Reliability Issues, Edited by Bruce Thompson
  • Handbook of Inter-rater Reliability:  How to Measure the Level of Agreement Between Two or Multiple Raters by Kilem Gwet
  • Measures of Interobserver Agreement by Mohamed M. Shoukri
  • Analyzing Rater Agreement:  Manifest Variable Methods by Alexander von Eye and Eun Young Mun
  • Does Measurement Measure Up?:  How Numbers Reveal and Conceal the Truth by John M. Henshaw
  • Measurement Theory in Action:  Case Studies and Exercises by Kenneth S. Shultz and David J. Whitney
  • Psychological Testing:  A Practical Approach to Design and Evaluation by Theresa J. B. Kline
  • Measurement Theory for the Behavioral Sciences by Edwin E. Ghiselli, John P. Campbell and Sheldon Zedeck
  • Measurement Error and Research Design by Madhu Viswanathan
• Latent Variable Models/Latent Class Models
  • Generalized Latent Variable Modeling:  Multilevel, Longitudinal, and Structural Equation Models by Anders Skrondal and Sophia Rabe-Hesketh (2 copies)
  • Latent Variable Mixture Models Edited by Gregory R. Hancock and Karen M. Samuelsen
  • 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 (2 copies)
  • Latent Variable Modeling and Applications to Causality edited by Maia Berkane
  • Latent Variable and Latent Structure Models Edited by George A. Marcoulides and Irini Moustaki
  • Handbook of Latent Variable and Related Models, Edited by Sik-Yum Lee
  • Latent Curve Models:  A Structural Equation Perspective by Kenneth A. Bollen and Patrick J. Curran
  • Latent Growth Curve Modeling by Kristopher J. Preacher, Aaron L. Wichman, Robert C. MacCallum and Nancy E. Briggs (2 copies)
  • Latent Variable Models and Factor Analysis by David J. Bartholomew and Martin Knott
  • Latent Trait and Latent Class Models edited by Rolf Langeheine and Jurgen Rost
  • Loglinear Models with Latent Variables by Jacques A. Hagenaars
  • Experiments with Mixtures:  Designs, Models, and the Analysis of Mixture Data, Third Edition by John Cornell
  • Finite Mixture Models by G. J. McLachlan and D. Peel
  • Multivariate Taxometric Procedures by Niels G. Waller and Paul E. Meehl
• Logistic Regression and Limited Dependent Variables
  • General Methods
    • Regression Models for Categorical and Limited Dependent Variables, Revised Edition by J. Scott Long (2 copies)
    • Applied Logistic Regression, Third Edition by David W. Hosmer, Jr., Stanley Lemeshow and Rodney X. Sturdivant
    • Applied Logistic Regression, Second Edition by David Hosmer and Stanley Lemeshow (2 copies)
    • Solutions Manual to Accompany Applied Logistic Regression (Second Edition) by David Hosmer, Stanley Lemeshow and Elizabeth Donohoe Cook
    • Logistic Regression Models by Joseph M. Hilbe
    • Applied Logistic Regression by Scott Menard
    • Logistic Regression: A Primer by Fred C. Pampel
    • Modeling Binary Data, Second Edition by David Collett
    • An Introduction to Categorical Data Analysis by Alan Agresti
    • Categorical Data Analysis, Second Edition by Alan Agresti
    • Categorical Data Analysis, Third Edition by Alan Agresti
    • New Developments in Categorical Data Analysis for the Social and Behavioral Sciences Edited by L. Andries van der Ark, Marcel A. Croon and Klaas Sijtsma
    • Ordinal Data Modeling by Valen E. Johnson and James H. Albert
  • More Specific Issues
    • Interpreting Probability Models:  Logit, Probit, and Other Generalized Linear Models by Tim Futing Liao
    • Statistical Methods for Categorical Data Analysis by Daniel Powers and Yu Xie
    • Analysis of Ordinal Categorical Data, Second Edition by Alan Agresti
    • Logit and Probit: Ordered and Multinomial Models by Vani K. Borooah
    • Logistic Regression Models for Ordinal Response Variables by Ann A. O&#;Connell
    • Interaction Effects in Logistic Regression by James Jaccard
    • Regression Analysis of Count Data, Second Edition by A. Colin Cameron and Pravin K. Trivedi
    • Regression Analysis of Count Data by A. Colin Cameron and Pravin K. Trivedi
    • Multiway Contingency Tables Analysis for the Social Science by Thomas Wickens
    • Limited-dependent and Qualitative Variables in Econometrics by G. S. Maddala
    • Discrete Choice Methods with Simulation by Kenneth E. Train
    • Modeling Count Data by Joseph M. Hilbe
    • Negative Binomial Regression by Joseph M. Hilbe (2 copies)
    • Negative Binomial Regression, Second Edition by Joseph M. Hilbe
• Longitudinal Data and Repeated Measures
  • Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence by Judith D. Singer and John B. Willett (4 copies)
  • Applied Longitudinal Analysis by Garrett M. Fitzmaurice, Nan M. Laird and James H. Ware
  • Longitudinal Data Analysis Edited by Garrett Fitzmaurice, Marie Davidian, Geert Verbeke and Geert Molenberghs
  • Modeling Contextual Effects in Longitudinal Studies Edited by Todd D. Little, James A. Bovaird and Noel A. Card
  • Longitudinal and Panel Data:   Analysis and Applications in the Social Sciences by Edward W. Frees
  • Modeling Longitudinal Data by Robert E. Weiss
  • Practical Longitudinal Data Analysis by David Hand and Martin Crowder
  • Models for Intensive Longitudinal Data Edited by Theodore A. Walls and Joseph L. Schafer
  • Analysis of Longitudinal and Cluster-correlated Data by Nan Laird
  • Statistical Methods for the Analysis of Repeated Measurements by Charles S. Davis
  • Generalized Inference in Repeated Measures:  Exact Methods in MANOVA and Mixed Models by Samaradasa Weerahandi
  • Nonparametric Regression Methods for Longitudinal Data Analysis: Mixed-Effects Modeling Approaches by Hulin Wu and Jin-Ting Zhang
  • Analyzing Within-Subjects Experiments by John W. Cotton
  • Modeling Intraindividual Variability with Repeated Measures Data: Methods and Applications by D. S. Moskowitz and Scott L. Hershberger
  • An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues and Applications, Second Edition by Duncan, Duncan and Strycker. The book comes with a CD of programs for examples in Amos, EQS, LISREL and Mplus.
  • An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues and Applications, Second Edition by Duncan, Duncan and Strucker (with CD)
  • An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues and Applications by Duncan, Duncan, Strucker, Li and Alpert
  • Modeling Longitudinal and Multilevel Data: Practical Issues, Applied Approaches, and Specific Examples by Todd Little, Kai Schnabel and Jorgen Baumert (2 copies)
  • Nonlinear Models for Repeated Measurement Data by Marie Davidian and David M. Giltinan
  • Analysis of Longitudinal Data, Second Edition by Peter J. Diggle, Patrick Heagerty, Kug-Yee Liang, and Scott L. Zeger
  • Longitudinal Data Analysis by Donald Hedeker and Robert D. Gibbons
  • Longitudinal Research, Second Edition by Scott Menard
  • Linear Mixed Models for Longitudinal Data by Geert Verbeke and Geert Molenberghs
  • Applied Longitudinal Data Analysis for Epidemiology:  A Practical Guide by Jos W. R. Twisk
  • Longitudinal Data Analysis:  Designs, Models and Methods by Catrien C. J. H. Bijleveld and Leo J. Th. van der Kamp
  • Models for Discrete Longitudinal Data by Geert Molenberghs and Geert Verbeke
  • New Methods for the Analysis of Change edited by Linda M. Collins and Aline G. Sayer
  • Causal Analysis with Panel Data by Steven E. Finkel (2 copies)
• Meta-Analysis
  • Meta-Analysis:  Quantitative Methods for Research Synthesis by Fredric M. Wolf
  • Introduction to Meta-Analysis by Michael Bornstein, Larry V. Hedges, Julian P. T. Higgins and Hannah R. Rothstein
  • Methods for Meta-Analysis in Medical Research by Sutton, Abrams, Jones, Sheldon and Song
  • Systematic Reviews in Health Care: Meta-analysis in Context, Second Edition by Matthias Egger, George Davey Smith and Douglas G Altman
  • Meta-Analytic Procedures for Social Research by Robert Rosenthal
  • Practical Meta-Analysis by Mark W. Lipsey and David B. Wilson
  • Publication Bias in Meta-Analysis:  Prevention, Assessment and Adjustments Edited by Hannah R. Rothstein, Alexander J. Sutton and Michael Borenstein
  • Handbook of Meta-analysis in Ecology and Evolution, Edited by Julia Koricheva, Jessica Gurevitch and Kerrie Mengersen
• Missing Data
  • Missing Data by Paul D. Allison (11 copies)
  • Missing Data:  A Gentle Introduction by Patrick E. McKnight, Katherine M. McKnight, Souraya Sidani and Aurelio Jose Figueredo (2 copies)
  • Statistical Analysis With Missing Data, Second Edition by Roderick J. A. Little, Donald B. Rubin
  • Applied Missing Data Analysis by Craig K. Enders
  • Multiple Imputation and Its Application by James R. Carpenter and Michael G. Kenward
  • Missing Data in Clinical Studies by Geert Molenberghs and Michael G. Kenward
  • Multiple Imputation for Nonresponse in Surveys by Donald B. Rubin
  • Statistical Analysis with Missing Data by Roderick Little and Donald Rubin
  • Selection Models for Nonignorable Missing Data by Sandro Scheid
  • Analysis of Incomplete Multivariate Data by J. L. Schafer Read it Online! (UC Only)
• Multilevel/Hierarchical Models
  • Introduction to Multilevel Modeling by Ita Kreft and Jan de Leeuw (3 copies)
  • Hierarchical Linear Models, Second Edition by Stephen Raudenbush and Anthony Bryk (4 copies)
  • Hierarchical Linear Models by Anthony Bryk and Stephen Raudenbush
  • Multilevel Analysis:  An Introduction to Basic and Advanced Multilevel Modeling, Second Edition by Tom A. B. Snijders and Roel J. Bosker
  • Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling by Tom Snijders and Roel Bosker (7 copies)
  • Linear Mixed Models:  A Practical Guide Using Statistical Software, Second Edition by Brady T. West, Kathleen B. Welch and Andrzej T. Gatecki
  • Multilevel Modeling for Applied Research:  It&#;s Just Regression! by Robert Bickel
  • An Introduction to Multilevel Modeling Techniques: MLM and SEM Approaches Using Mplus, Third Edition by Ronald H. Heck and Scott L. Thomas
  • Handbook of Multilevel Analysis Edited by Jan de Leeuw and Erik Meijer
  • Applied Mixed Models in Medicine, Second Edition by Helen Brown and Robin Prescott
  • Applied Mixed Models in Medicine by Helen Brown and Robin Prescott
  • Multilevel Modeling of Health Statistics Edited by A. H. Leyland and H. Goldstein
  • Data Analysis Using Regression and Multilevel/Hierarchical Models by Andrew Gelman and Jennifer Hill
  • Disease Mapping with WinBUGS and MLwiN by Andrew B. Lawson, William J. Browne and Carmen L. Vidal Rodeiro
  • Multilevel Analysis:  Techniques and Applications, Third Edition by Joop. J. Hox, Mirjam Moerbeek and Rens van de Schoot
  • Multilevel Analysis:  Techniques and Applications, Second Editionby Joop J. Hox
  • Multilevel Analysis: Techniques and Applications by Joop Hox (3 copies)
  • An Introduction to Multilevel Modeling Techniques by Ronald Heck and Scott Thomas
  • Multilevel Modeling by Douglas A. Luke
  • Applied Multilevel Analysis by J.J. Hox (PDF, free download)
  • Multilevel Statistical Models by Harvey Goldstein (PDF, free download)
  • Multilevel Modeling: Methodological Advances, Issues, and Applications by Steven P. Reise and Naihua Duan
  • Handbook of Research Methods for Studying Daily Life Edited by matthias R. Mehl and Tamlin S. Conner
  • Intensive Longitudinal Methods:  An Introduction to Diary and Experience Sampling Research by Niall Bolger and Jean-Philippe Laurenceau
  • Topics in Modeling of Clustered Data by Marc Aerts Geert Molenberghs Helena Geys Louise Ryan  Read it Online! (UC Only)
  • Multilevel Statistical Models, Third Edition by Harvey Goldstein
  • Mixed Models:  Theory and Applications by Eugene Demidenko
  • Design and Analysis of Cluster Randomization Trials In Health Research by Allan Donner and Neil S. Klar
  • Linear and Generalized Linear Mixed Models and Their Applications by Jiming Jiang
• Multivariate Statistics
  • Computer-Aided Multivariate Analysis, Fourth Edition by A. Afifi, V. Clark and S. May
  • Computer-Aided Multivariate Analysis, Third Edition, by A. A. Afifi and V. Clark
  • Using Multivariate Statistics, Fifth Edition by Barbara Tabachnick and Linda Fidell
  • Using Multivariate Statistics, Fourth Edition by Barbara Tabachnick and Linda Fidell
  • Using Multivariate Statistics, Third Edition by Barbara Tabachnick and Linda Fidell
  • Reading and Understanding Multivariate Statistics, Edited by Laurence G. Grimm and Paul R. Yarnold
  • Reading and Understanding More Multivariate Statistics, Edited by Laurence G. Grimm and Paul R. Yarnold
  • Multivariate Analysis:  Techniques for Educational and Psychological Research, Second Edition by Maurice M. Tatsuoka
  • Multivariate Applications in Substance Abuse Research:  New Methods for New Questions edited by Jennifer S. Rose, et al.
  • Applied Multivariate Research:  Design and Interpretation by Lawrence S. Meyers, Glenn Gamst and A. J. Guarino
  • The Multivariate Social Scientist by Graeme Hutcheson and Nick Sofroniou
  • The Essence of Multivariate Thinking:  Basic Themes and Methods by Lisa L. Harlow
  • Applied MANOVA and Discriminant Analysis, Second Edition by Carl J. Huberty ad Stephen Olejnik
  • Multivariate Statistical Methods, Fourth Edition by Donald F. Morrison
  • Making Sense of Multivariate Data Analysis by John Spicer
  • Applied Multivariate Statistics, Fourth Edition by James P. Stevens
  • A Primer of Multivariate Statistics by Richard J. Harris
  • Statistical Graphics for Visualizing Multivariate Data by William G. Jaccoby
  • Methods of Multivariate Analysis, Second Edition by Alvin C. Rencher
  • The Analysis and Interpretation of Multivariate Data for Social Scientists by David J. Bartholomew, Fiona Steele, Irini Moustaki and Jane Galbraith
  • Multivariate Analysis:  Techniques for Educational and Psychological Research by Maurice M. Tatsuoka
  • Multivariate Statistical Methods in Behavioral Research by R. Darrell Bock
  • The Geometry of Multivariate Statistics by Thomas D. Wickens
  • Discriminant Analysis by William R. Klecka
• Non Parametric
  • Introduction to Nonparametric Regression by Kunio Takezawa
  • Applied Nonparametric Statistical Methods, Third Edition by Peter Sprent Nigel Charles Smeeton (Online Only, UC Only)
  • Nonparametric Statistics for the Behavioral Sciences by Sidney Siegel and N. John Castellan, Jr.
  • Non-Parametric Analysis of Longitudinal Data in Factorial Experiments by Edgar Brunner, Sebastian Domhof and Frank Langer
  • Ordinal Methods for Behavioral Data Analysis by Norman Cliff
  • Nonparametric Statistics with Applications to Science and Engineering by Paul H. Kvan and Brani Vidakovic
• Regression Methods
  • General Issues in Regression
    • Applied Regression Analysis and Generalized Linear Models, Second Edition by John Fox
    • Applied Regression Analysis, Linear Models, and Related Methods by John Fox
    • Regression Analysis by Example, Fourth Edition by Samprit Chatterjee and Ali Hadi
    • Regression Analysis by Example, Third Edition by Samprit Chatterjee, Ali Hadi, and Bertram Price
    • Regression with Graphics: A Second Course in Applied Statistics by Lawrence Hamilton
    • Multiple Regression in Behavioral Research by Elazar Pedhazur
    • Multiple Regression and Beyond by Timothy Z. Keith
    • A Second Course in Statistics:  Regression Analysis, Sixth Edition by William Mendenhall and Terry Sincich
    • Primer of Applied Regression and Analysis of Variance, Second Edition by Stanton A. Glantz and Bryan K. Slinker
    • Applied Regression Including Computing and Graphics by R. Dennis Cook and Sanford Weisberg
    • Regression with Social Data:  Modeling Continuous and Limited Response Variables by Alfred DeMaris
    • Introduction to Linear Regression Analysis, Third Edition by Douglas C. Montgomery, Elizabeth A. Peck and G. Geoffrey Vining
    • Applied Linear Statistical Models by Neter, Kutner, Nachtsheim and Wasserman
    • Multiple Regression and Causal Analysis by McKee J. McClendon
    • Modern Regression Methods by Thomas P. Ryan
    • Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, Third Edition by Cohen, J., Cohen, P., West, S., and Aiken, L.
    • Quantitative Methods in Population Health:  Extensions of Ordinary Regression by Mari Palta
    • Multiple Regression:  A Primer by Paul D. Allison
    • Applied Linear Regression, Second Edition by Sanford Weisberg
    • Regression Analysis: A Constructive Critique by Richard A. Berk
    • Linear Regression Analysis by G. A. F. Seber
    • Applied Statistics:  Analysis of Variance and Regression by Olive Jean Dunn and Virginia A. Clark (located in the ANOVA section)
    • Regression Methods in Biostatistics:  Linear, Logistic, Survival and Repeated Measures Models by Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski and Charles E. McCulloch (2 copies)
    • Linear Statistical Inference and Its Applications, Second Edition by C. Radhakrishna Rao
  • Specific Issues in Regression
    • Multiple Regression: Testing and Interpreting Interactions by Leona S. Aiken and Steven G. West
    • Interaction Effects in Multiple Regression, Second Edition by James Jaccard and Rober Turrisi
    • Interaction Effects in Multiple Regression by James Jaccard, Robert Turrisi and Choi K. Wan
    • Fixed Effects Regression Models by Paul Allison
    • Spline Regression Models by Lawrence C. Marsh and David R. Cormier
    • Nonparametric Simple Regression- Smoothing Scatterplots by John Fox
    • Multiple and Generalized Nonparametric Regression by John Fox
    • Regression Diagnostics: Identifying Influential Data and Sources of Collinearity by David A Belsley, Edwin Kuh and Roy E. Welsch
    • Robust Regression and Outlier Detection by Peter J. Rousseeuw and Annick M. Leroy
    • Understanding Regression Assumptions by William D. Berry
    • Regression Diagnostics by John Fox
    • Regression with Dummy Variables by Melissa A. Hardy
    • Regression Models &#; Censored, Sample Selected or Truncated Data by Richard Breen
    • A Primer on Regression Artifacts by Donald T. Campbell and David A. Kenny
    • Robust Diagnostic Regression Analysis by Anthony Atkinson and Marco Riani
    • Quantile Regression by Roger Koenker
    • Local Regression and Likelihood by Clive Loader
    • Regression Analysis for Categorical Moderators by Herman Aguinis
    • Nonlinear Regression by G. A. F. Seber and C. J. Wild
    • Semiparametric Regression by David Ruppert, M. P. Wand and R. J. Carroll
    • Measurement Error in Nonlinear Models by R. J. Carroll, D. Ruppert and L. A. Stefanski
    • Statistical Regression with Measurement Error by Chi-Lun Cheng and John W. Van Ness
• Social Network Analysis
  • Models and Methods in Social Network Analysis Edited by Peter J. Carrington, John Scott and Stanley Wasserman
  • Exploratory Social Network Analysis with Pajek by Wouter de Nooy, Andrej Mrvar and Vladimir Batagelj
  • Advances in Social Network Analysis:  Research in the Social and Behavioral Sciences Edited by Stanley Wasserman and Joseph Galaskiewicz
  • Social Networks and Health:  Models, Methods and Applications by Thomas W. Valente
  • Teaching about Social Networks:  A Collection of Syllabi, Assignments and Other Resources Compiled and Edited by D. B. Tindall and Todd E. Malinick
• Spatial Statistics
  • Model-based Geostatistics by Peter J. Diggle and Paulo J. Ribeiro, Jr.
  • Spatial Data Analysis: Theory and Practice by Robert Haining
  • Spatial Regression Models by Michael D. Ward and Kristian Skrede Gleditsch
  • Statistical Methods for Spatial Data Analysis by Oliver Schabenberger and Carol A. Gotway
  • Getting to Know ArcGIS Desktop:  Basics of ArcView, ArcEditor and ArcInfo, Second Edition by Tim Ormsby, Eileen Napoleon, Robert Burke, Carolyn Groess and Laura Feater
• Statistical Guidelines
  • Theory Based Data Analysis for the Social Sciences by Carol Aneshensel
  • Data Analysis &#; An Introduction by Michael Lewis-Beck
  • How to Lie with Statistics by Darrell Huff
  • Statistical Consulting by Javier Cabrera and Andrew McDougall
  • Publication Manual of the American Psychological Association
  • Power Analysis for Experimental Research:  A Practical Guide for the Biological, Medical and Social Sciences by R. Barker Bausell and Yu-Fang Li
  • Multiple Analyses in Clinical Trials:  Fundamentals for Investigators by Lemuel A. Moye
  • Statistical Power Analysis for the Behavioral Sciences, Second Edition, by Jacob Cohen
  • Statistical Power Analysis:  A Simple and General Model for Traditional and Modern Hypothesis Testing, Second Edition by Kevin R. Murphy and Brett Myors
  • How Many Subjects? Statistical Power Analysis in Research by Helena Chmura Kraemer and Sue Theimann
  • Statistical Rules of Thumb by Gerald van Belle
• Structural Equation Modeling
  • Introduction to Mediation, Moderation and Conditional Process Analysis: A Regression-based Approach, Second Edition by Andrew F. Hayes
  • Introduction to Mediation, Moderation and Conditional Process Analysis: A Regression-based Approach by Andrew F. Hayes
  • Latent Variable Models: An Introduction to Factor, Path and Structural Equation Analysis, Fourth Edition by John C. Loehlin (2 copies)
  • A Beginner&#;s Guide to Structural Equation Modeling by Randall Schumacker and Richard Lomax
  • Testing Structural Equation Models Edited by Kenneth A. Bollen and J. Scott Long
  • Structural Equation Modeling: Foundations and Extensions by David Kaplan
  • Structural Equation Modeling:  A Second Course edited by Gregory R. Hancock and Ralph O. Mueller
  • Introduction to Structural Equation Modelling Using IBM SPSS Statistics and AMOS, Second Edition by Niels J. Blunch
  • Introduction to Structural Equation Modeling Using SPSS and AMOS by Niels J. Blunch
  • Introduction to Statistical Mediation Analysis by David P. MacKinnon
  • Structural Equations with Latent Variables by Kenneth A. Bollen
  • Interaction and Nonlinear Effects in Structural Equation Modeling by Randall Schumacker and George Marcoulides
  • Structural Equation Modeling with Amos, Third Edition by Barbara Byrne
  • Structural Equation Modeling with Amos by Barbara Byrne
  • Structural Equation Modeling with EQS by Barbara Byrne
  • Structural Equation Modeling with Mplus by Barbara Byrne
  • Data Analysis with Mplus by Christian Geiser
  • Structural Equation Modeling: Applications Using Mplus by Jichuan Wang and Xiaoqian Wang
  • New Developments and Techniques in Structural Equation Modeling Edited by George Marcoulides and Randall Schumacker
  • Principles and Practice of Structural Equation Modeling, Fourth Edition by Rex B. Kline
  • Principles and Practice of Structural Equation Modeling, Second Edition by Rex B. Kline
  • Principles and Practice of Structural Equation Modeling by Rex B. Kline
  • A First Course in Structural Equation Modeling, Second Edition by Tenko Raykov and George A. Marcoulides
  • A First Course in Structural Equation Modeling by Tenko Raykov and George A. Marcoulides
  • Structural Equation Modeling:  Concepts, Issues and Applications, Edited by Rick H. Hoyle
  • Longitudinal Structural Equation Modeling by Todd D. Little
  • Cause and Correlation in Biology:  A User&#;s Guide to Path Analysis, Structural Equations and Causal Inference by Bill Shipley
  • Structural Equation Modeling:  Applications in Ecological and Evolutionary Biology Edited by Bruce H. Pugesek, Adrian Tomer and Alexander von Eye
  • Structural Equation Modeling and Natural Systems by James B. Grace
  • Structural Equation Modeling:  Present and Future Edited &#; A Festschrift in honor of Karl Joreskog by Robert Cudeck, Stephen Du Toit and Dag Sorbom
  • Explanation in Causal Inference: Methods for Mediation and Interaction by Tyler J. Vanderweele
• Survey Construction
  • Translating Questionnaires and Other Research Instruments by Orlando Behling and Kenneth S. Law
  • International Handbook of Survey Methodology Edited by Edith D. de Leeuw, Joop J. Hox and Don A. Dillman
  • Nonresponse in Household Interview Surveys by Robert M. Groves and Mick P. Couper
  • The Psychology of Survey Response by Roger Tourangeau, Lance J. Rips and Kenneth Rasiniski
  • Cognition and Survey Research Edited by Sirken, Herrmann, Schechter, Schwarz, Tanur and Tourangeau
  • Designing and Conducting Health Surveys, Second Edition by Lu Anne Aday
  • Designing Surveys:  A Guide to Decisions and Procedures, Second Edition by Ronald Czaja and Johnny Blair
  • How to Conduct Your Own Survey by Priscella Salant and Don A. Dillman
  • Survey Questions:  Handcrafting the Standardized Questionnaire by Jean M. Converse and Stanley Presser
  • Introduction to Survey Quality by Paul P. Biemer and Lars E. Lyberg
  • Survey Errors and Survey Costs by Robert M. Groves
  • Questions About Questions:  Inquiries into the Cognitive Bases of Surveys by Judith Tanur, Editor
  • Questions and Answers in Attitude Surveys:  Experiments on Question Form, Wording and Context by Howard Schuman and Stanley Presser
  • Mail and Internet Surveys:  The Tailored Design Method by Don A. Dillman
  • Internet Data Collection by Samuel J. Best and Brian S. Krueger
• Survey Sampling and Analysis
  • Sampling Methodologies with Applications by Poduri S.R.S. Rao (Online Only, UC Only)
  • Combined Survey Sampling Inference by Ken Brewer (2 copies)
  • The Ideas of Sampling by Alan Stuart
  • Applied Survey Data Analysis, Second Edition by Steven G. Heeringa, Brady T. West and Patricia A. Berglund
  • Applied Survey Data Analysis by Steven G. Heeringa, Brady T. West and Patricia A. Berglund
  • Complex Surveys:  Analysis of Categorical Data by Parimal Mukhopadhyay
  • Applied Survey Methods:  A Statistical Perspective by Jelke Bethlehem
  • The Logic of Survey Analysis by Morris Rosenberg
  • Statistics for Real-life Sample Surveys:  Non-simple-random Samples and Weighted Data by Sergey Dorofeev and Peter Grant
  • Sampling: Design and Analysis by Sharon L. Lohr
  • Practical Tools for Designing and Weighting Survey Samples by Richard Valliant, Jill A. Dever and Frauke Kreuter
  • Analyzing Repeated Surveys by Glenn Firebaugh
  • Researching Social and Economic Change:  The Use of Household Panel Studies Edited by David Rose
  • Analysis of Health Surveys by Edward L. Korn and Barry I. Graubard
  • Analyzing Health Equity Using Household Survey Data:  A Guide to Techniques and Their Implementation by Owen O&#;Donnell, Eddy van Doorslaer, Adam Wagstaff and Magnus Lindelow
  • Survey Methodology, Second Edition by Robert M. Groves, Floyd J. Fowler, Jr., Mick P. Couper, James M. Lepkowski, Eleanor Singer, and Roger Tourangeau
  • Methodology of Longitudinal Surveys Edited by Peter Lynn
  • American Community Survey:  Data for Community Planning by Cynthia M. Taeuber
  • Processing Data &#; The Survey Example by Linda B. Bourque and Virginia A. Clark
  • Sampling of Populations: Methods and Applications, Fourth Edition by Paul Levy and Stanley Lemeshow
  • Sampling of Populations: Methods and Applications, Third Edition by Paul Levy and Stanley Lemeshow
  • Survey Research Methods, Third Edition by Floyd Fowler, Jr.
  • Practical Methods for Design and Analysis of Complex Surveys, Second Edition by Risto Lehtonen and Erkki Pahkinen
  • Practical Methods for Design and Analysis of Complex Surveys, Revised Edition by Risto Lehtonen and Erkki Pahkinen
  • Survey Nonresponse Edited by Robert M. Groves, Don A. Dillman, John L. Eltinge, and Roderick J. A. Little
  • Estimation in Surveys with Nonresponse by Carl-Erik Sarndal and Sixten Lundstrom
  • Leslie Kish:  Selected Papers Edited by Graham Kalton and Steven Heeringa
  • Survey Sampling by Leslie Kish
  • Matched Sampling for Causal Effects by Donald B. Rubin
  • Introduction to Variance Estimation by Kirk M. Wolter
  • A Sampler on Sampling by Bill Williams
  • The Analysis of Household Surveys: A Microeconometric Approach to Development Policy by Angus Deaton
  • Sampling, Second Edition by Steven K. Thompson
  • Elementary Survey Sampling, Fifth Edition by Scheaffer, Mendenhall and Ott
  • Solutions Manual for Elementary Survey Sampling, Fifth Edition by Scheaffer, Mendenhall and Ott
  • Finite Population Sampling and Inference: A Prediction Approach Richard Valliant, Alan H. Dorfman, Richard M. Royall
  • Small Area Estimation by J. N. K. Rao
  • Missing data and Small-Area Estimation:  Modern Analytical Equipment for the Survey Statistician by Nicholas T. Longford
  • Sampling Techniques, Third Edition by William G. Cochran
  • Sample Survey Theory:  Some Pythagorean Perspectives by Paul Knottnerus
  • Analysis of Survey Data Edited by  R. L. Chambers and C. J. Skinner
  • Model Assisted Survey Sampling by Carl-Erik Sarndal, Bengt Swensson and Jan Wretman
  • Sampling Algorithms by Yves Tille
  • Analyzing Complex Survey Data by Eun Sul Lee, Ronald N. Forthofer, and Ronald J. Lorimor
  • Introduction to Survey Sampling by Graham Kalton
  • Doing Internet Research:  Critical Issues and Methods for Examining the Net Edited by Steve Jones
  • Introduction to Behavior Research on the Internet by Michael H. Birnbaum
  • Conducting Research Surveys via E-mail and the Web by Matthias Schonlau, Ronald D. Fricker, Jr. and Marc N. Elliott
  • How to Conduct Behavioral Research over the Internet:  A Beginner&#;s Guide to HTML and CGI/Perl by R. Chris Fraley
  • Psychological Experiments on the Internet Edited by Michael H. Birnbaum
• Survival/Event History Analysis
  • Survival Analysis
    • Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence by Judith D. Singer and John B. Willett (located under Longitudinal)
    • Applied Survival Analysis: Regression Modeling of Time-to-event Data, Second Edition by David Hosmer, Jr., Stanley Lemeshow and Susanne May
    • Applied Survival Analysis by David Hosmer, Jr. and Stanley Lemeshow (2 copies)
    • Solutions Manual to Accompany Applied Survival Analysis by David Hosmer, Jr., Stanley Lemeshow and Sunny Kim
    • Survival Analysis:  Techniques for Censored and Truncated Data, Second Edition by John Klein and Melvin Moeschberger
    • Survival Analysis: Techniques for Censored and Truncated Data by John Klein and Melvin Moeschberger
    • Modelling Survival Data in Medical Research, Second Edition by David Collett
    • Modeling Survival Data: Extending the Cox Model by Terry M. Therneau and Patricia M. Grambsch (see SAS macros and SPLUS functions)
    • Analysis of Multivariate Survival Data by Philip Hougaard
    • Dynamic Regression Models for Survival Data by Torben Martinussen and Thomas H. Scheike
    • Survival Models and Data Analysis by Elandt-Johnson and Johnson
    • Analysis of Failure and Survival Data by Peter J. Smith
    • Bayesian Survival Analysis by Joseph G. Ibrahim, Ming-Hui Chen and Debajyoti Sinha
    • Statistical Methods for Survival Data Analysis, Third Edition by Elisa T. Lee and John Wenyu Wang
    • Statistical Models and Methods for Lifetime Data, Second Edition by Jerald F. Lawless
  • Event History
    • Event History Analysis: Regression for Longitudinal Event Data by Paul Allison
    • Techniques of Event History Modeling: New Approaches to Causal Analysis, Second Edition by Hans-Peter Blossfeld and Gotz Rohwer (2 copies)
    • Event History Analysis by Kazuo Yamaguchi
    • Event History Modeling:  A Guide for Social Scientists by Janet M. Box-Steffensmeier and Bradford S. Jones (2 copies)
    • Log-Linear Models for Event Histories by Jeroen K. Vermunt
• Other
  • Applied Choice Analysis:  A Primer by David A. Hensher, John M. Rose and William H. Greene
  • Applied Correspondence Analysis:  An Introduction by Sten-Erik Clausen
  • Biostatistical Methods:  The Assessment of Relative Risk by John M. Lachin
  • Case-Control Studies:  Design, Conduct, Analysis by James J. Schlesselman
  • Cluster Analysis, Fourth Edition by Brian S. Everitt, Sabine Landau and Morven Leese
  • Cluster Analysis for Researchers by H. Charles Romesburg
  • Cohort Analysis, Second Edition by Norval D. Glenn
  • Confidence Intervals by Michael Smithson
  • Causal Inference in Statistics: A Primer by Judea Pearl, Madelyn Glymour and Nicholas P. Jewell
  • Causal Inference for Statistics, Social and Biomedical Sciences: An Introduction by Guido W. Imbens and Donald B. Rubin
  • Dyadic Data Analysis by David A. Kenny, Deborah A. Kashy and William L. Cook
  • Effect Sizes for Research:  A Broad Practical Approach by Robert J. Grissom and John J. Kim
  • Fitting Models to Biological Data Using Linear and Nonlinear Regression: A Practical Guide to Curve Fitting by Harvey Motulsky and Arthur Christopoulos
  • Flawless Consulting:  A Guide to Getting Your Expertise Used, Second Edition by Peter Block
  • Fuzzy Set Theory:  Applications in the Social Sciences by Michael Smithson and Jay Verkuilen
  • Handbook of Data Analysis Edited by Melissa Hardy and Alan Bryman
  • Identification Problems in the Social Sciences by Charles F. Manski
  • Matrix Computations by G. Golub and C.F. Van Loan
  • Mediation Analysis by Dawn Iacobucci
  • Methods Matter by Richard J. Murnane and John B. Willett
  • Model Based Inferences in the Life Sciences:  A Primer on Evidence by David R. Anderson
  • Multivariable Model-building:  A Pragmatic Approach to Regression Analysis Based on Factional Polynomials for Modelling Continuous Variables by Patrick Royston and Willi Sauerbrei
  • Multivariate Dependencies:  Models, Analysis and Interpretation by D. R. Cox and Nanny Wermuth
  • Numerical Ecology, Second English Edition by Pierre Legendre and Louis Legendre
  • Numerical Issues in Statistical Computing for the Social Scientist by Micah Altman, Jeff Gill and Michael P. McDonald (2 copies)
  • Observational Studies, Second Edition by Paul R. Rosenbaum
  • Observing Interaction:  An Introduction to Sequential Analysis, Second Edition by Roger Bakeman and John M. Gottman
  • The Politics of Large Numbers:  A History of Statistical Reasoning by Alain Desrosieres
  • Probability Theory:  A Primer by Tamas Rudas
  • Propensity Score Analysis:  Fundamentals and Developments edited by Wei Pan and Haiyan Bai
  • Propensity Score Analysis:  Statistical Methods and Applications, Second Edition by Shenyang Guo and Mark W. Fraser
  • Propensity Score Analysis:  Statistical Methods and Applications by Shenyang Guo and Mark W. Fraser
  • Robust Statistics by Peter J. Huber
  • The Sage Handbook of Quantitative Methodology for the Social Sciences by David Kaplan, Editor
  • The Sage Handbook of Social Science Methodology Edited by William Outhwaite and Stephen P. Turner
  • Secondary Data Sources for Public Health by Sarah Boslaugh
  • Single-Case and Small-n Experimental Designs by John B. Todman and Pat Dugard
  • Statistics in the 21st Century Edited by Adrian E. Raftery, Martin A. Tanner and Martin T. Wells Read it Online! (UC Only)
  • Statistics with Confidence, Second Edition Edited by Douglas G. Altman, David Machin, Trevor N. Bryant and Martin J. Gardner
  • The Statistical Evaluation of Medical Tests for Classification and Prediction by Margaret Sullivan Pepe
  • Statistical Methods for Rates and Proportions, Third Edition by Joseph L Fleiss, Bruce Levin and Myunghee Cho Paik
  • Statistical Strategies for Small Sample Research by Rick H. Hoyle
  • Statistics for Microarrays by Ernst Wit and John McClure
  • Tests of Significance by Ramon E. Henkel
  • Tree Models of Similarity and Association by James E. Corter
  • What If There Were No Significance Tests?  Edited by Lisa L. Harlow, Stanley A. Mulaik and James H. Steiger
  • When Computers Were Human by David Alan Grier
  • Learning Python, Second Edition by Mark Lutz and David Ascher
  • Beginning Python:  From Novice to Professional by Magnus Lie Hetland
• SAS
  • General Statistics
    • The Little SAS Book, for Enterprise Guide by Susan J. Slaughter and Lora D. Delwiche
    • The Little SAS Book, Fifth Edition by Lora Delwiche and Susan Slaughter
    • The Little SAS Book, Fourth Edition by Lora Delwiche and Susan Slaughter
    • The Little SAS Book, Third Edition by Lora Delwiche and Susan Slaughter
    • Applied Statistics and the SAS Programming Language by Ronald Cody and Jeffrey Smith
    • A Handbook of Statistical Analyses Using SAS by  Brian S. Everitt and Geoff Der, Read it Online! (UC Only)
    • SAS Statistics by Example by Ron Cody
    • Quick Results with SAS/GRAPH Software by Art Carpenter and Charles E. Shipp
    • Maps Made Easy Using SAS by Mike Zdeb
    • Common Statistical Methods for Clinical Research with SAS Examples Second Edition by Glenn A. Walker
    • Common Statistical Methods for Clinical Research with SAS Examples by Glenn Walker
    • SAS Essentials:  Mastering SAS for Research by Alan C. Elliott and Wayne A. Woodward
    • Just Enough SAS:  A Quick-start Guide to SAS for Engineers by Robert A. Rutledge
  • Data Cleaning and Data Management
    • Cody&#;s Data Cleaning Techniques using SAS Software by Ron Cody
    • Concepts and Case Studies in Data Management by William S. Calvert and Meimei Ma
    • Health Care Data and the SAS System by  Marge Scerbo, Craig Dickstein, and Alan Wilson
    • Longitudinal Data and SAS: A Programmer&#;s Guide by Ron Cody
    • Debugging SAS Programs: A Handbook of Tools and Techniques by Michele M. Burlew
    • Efficiency: Improving the Performance of Your SAS Applications by  Robert Virgile
    • Reading External Data Files Using SAS:  Examples Handbook by Michele M. Burew
  • ANOVA and MANOVA
    • Multiple Comparisons and Multiple Tests using the SAS System by Peter Westfall et. al.
    • Multiple Comparisons and Multiple Tests Workbook by Peter Westfall et. al.
    • SAS System for Mixed Models, Second Edition by Ramon Littell, George Milliken, Walter Stroup, Russell Wolfinger and Oliver Schabenberger
    • SAS System for Mixed Models by Ramon Littell, George Milliken, Walter Stroup and Russell Wolfinger
    • Applied Multivariate Statistics with SAS Software, Second Edition by Ravindra Khattree and Dayanand N. Naik
    • Applied Multivariate Statistics with SAS Software by Ravidra Khattree and Dayanand Naik
    • Multivariate Data Reduction and Discrimination with SAS Software by Ravindra Khattree and Dayanand N. Naik
    • Regression and ANOVA: An Integrated Approach Using SAS Software by Keith E. Muller and Bethel A. Fetterman
  • Regression Methods
    • SAS System for Linear Models, Fourth Edition by Ramon Littell, Walter W. Stroup and Rudolf Fruend
    • SAS System for Linear Models, Third Edition by Ramon Littell, Rudolf Fruend, and Philip Spector
    • Fixed Effects Regression Methods for Longitudinal Data Using SAS by Paul D. Allison
    • Univariate and Multivariate General Linear Models: Theory and Applications Using SAS Software by Neil H. Timm and Tammy A. Mieczkowski.
    • Regression and Anova: An Integrated Approach Using SAS Software by Keith E. Muller and Bethel A. Fetterman (filed under SAS ANOVA)
  • Logistic and Categorical Dependent Variables
    • Logistic Regression Examples Using the SAS System by SAS Institute
    • Logistic Regression Using the SAS System: Theory and Application by Paul D. Allison
    • Categorical Data Analysis Using the SAS System, Second Edition by Maura Stokes, Charles Davis and Gary Koch
    • Categorical Data Analysis Using the SAS System by Maura Stokes, Charles Davis and Gary Koch
    • Visualizing Categorical Data by Michael Friendly
    • Advanced Log-Linear Models Using SAS by Daniel Zelterman
  • Survival Analysis
    • Survival Analysis Using the SAS System: A Practical Guide by Paul D. Allison (2 copies)
    • Extending SAS Survival Analysis Techniques for Medical Research by Alan Cantor
  • Time Series
    • Forecasting Examples for Business and Economics using the SAS System by the SAS Institute
    • SAS for Forecasting Time Series, Second Edition by John C. Brocklebank and David A. Dickey
    • SAS/ETS Software: Applications Guide 1, Timer Series Modeling and Forecasting, Financial Reporting and Loan Analysis by SAS Institute
  • Other Statistical
    • Mixed Models Analyses Using SAS (Course Notes)
    • A Step-by-Step Approach to Using the SAS System for Factor Analysis and Structural Equation Modeling by Dr. Larry Hatcher
    • Complex Survey Data Analysis with SAS by Taylor H. Lewis
    • Applied Econometrics Using the SAS System by Vivek B. Ajmani
    • Conducting Meta-Analysis Using SAS by Winfred Arthur, Jr.; Winston Bennett, Jr.; and Allen I. Huffcutt
    • Data Mining Using SAS Applications by George Fernandez
    • SAS for Monte Carlo Studies:  A Guide for Quantitative Researchers by Xitao Fan, Akos Felsovalyi, Stephen A. Sivo and Sean C. Keenan
    • Genetic Analysis of Complex Traits Using SAS Edited by Arnold M. Saxton
    • Customer Segmentation and Clustering Using SAS Enterprise Miner, Second Edition by Randall S. Collica
    • Multiple Imputation of Missing Data Using SAS by Patricia Berglund and Steven Heeringa
  • Non-Statistical
    • SAS Macro Programming Made Easy by Michele M. Burlew
    • Carpenters Guide to the SAS Macro Language by Art Carpenter
    • SAS Macro Facility: Tips and Techniques
    • The Complete Guide to the SAS Output Delivery System, Version 8 by SAS Publishing
    • Output Delivery System, the Basics by Lauren Haworth
    • Statistical Graphics Procedures by Example:  Effective Graphs Using SAS by Sanjay Matange and Dan Heath
    • Infographics Powered by SAS:  Data Visualization Techniques for Business Reporting by Travis Murphy
    • Quick Results with the Output Delivery System by Sunil Gupta
    • Annotate: Simply the Basics by Art Carpenter
    • Painless Windows (Second Edition) A Handbook for SAS Users by Jodie Gilmore
    • Professional SAS Programming Shortcuts by Rick Aster
    • SAS Programming 3:  Advanced Techniques and Efficiencies (Course Notes)
    • DS 2 Programming:  Essentials (Course Notes)
  • SAS Academic Training Kits 
    • Statistics
      • Statistics I: Introduction to ANOVA, Regression and Logistic Regression
      • Statistics II: ANOVA and Regression
      • Categorical Data Analysis Using Logistic Regression
      • Predictive Modeling Using Logistic Regression
      • Statistical Analysis with the GLIMMIX Procedure
      • Mixed Modeling Analysis Using the SAS System
      • Longitudinal Data Analysis with Discrete and Continuous Responses
      • Survival Analysis Using the Proportional Hazards Model
      • Introduction to Time Series Forecasting Using SAS/ETS Software
    • Programming
      • Introduction to Programming Concepts Using SAS Software
      • SAS Programming I: Essentials
      • SAS Programming II: Manipulating Data with the DATA Step
      • SAS Programming III: Advanced Techniques
      • Optimizing SAS Programs
      • SAS Macro Language
      • SAS SQL 1:  Essentials
    • Web and Output Delivery
      • SAS Web Tools: Overview of SAS Web Technology
      • SAS Web Tools: Static and Dynamic Solutions Using SAS/IntrNet Software
      • Getting Started with the Output Delivery System
      • Advanced Output Delivery System Topics
    • Data Mining
      • Data Mining Primer: Overview of Applications and Methods
      • Applied Data Mining Techniques Using Enterprise Miner
      • Predictive Modeling Using Enterprise Miner Software
    • Other
      • SAS Color Graphics
      • Decision Tree Modeling
      • SAS Enterprise Guide 1:  Querying and Reporting
  • User Manuals
    • SAS/STAT User&#;s Guide: Volume 1, ACECLUS-FREQ. Version 6, Fourth Edition
    • SAS/STAT User&#;s Guide: Volume 2, GLM-VARCOMP. Version 6, Fourth Edition
• Stata
  • Statistics with Stata (Updated for Version 9) by Lawrence Hamilton (2 copies)
  • Statistics with Stata (Updated for Version 8) by Lawrence Hamilton (2 copies)
  • A Gentle Introduction to Stata, Revised Third Edition by Alan C. Acock
  • A Gentle Introduction to Stata by Alan C. Acock (2 copies)
  • Data Management Using Stata:  A Practical Handbook by Michael N. Mitchell
  • One Hundred Nineteen Stata Tips, Third Edition Edited by Nicholas J. Cox and H. Joseph Newton
  • Thirty-three Stata Tips Edited by H. Joseph Newton and Nicholas J. Cox
  • The Workflow of Data Analysis Using Stata by J. Scott Long
  • An Introduction to Stata Programming by Christopher F. Baum
  • A Visual Guide to Stata Graphics, Third Edition by Michael N. Mitchell
  • A Visual Guide to Stata Graphics, Second Edition by Michael N. Mitchell (3 copies)
  • A Visual Guide to Stata Graphics by Michael N. Mitchell
  • Speaking Stata Graphics:  A Collection from the Stata Journal by Nicholas J. Cox
  • Data Analysis Using Stata by Ulrich Kohler and Frauke Kreuter (3 copies)
  • An Introduction to Stata for Health Researchers, Third Edition by Svend Juul and Morten Frydenberg
  • An Introduction to Stata for Health Researchers by Svend Juul
  • Stata for the Behavioral Sciences by Michael N. Mitchell
  • Interpreting and Visualizing Regression Models Using Stata by Michael N. Mitchell (2 copies)
  • Multilevel and Longitudinal Modeling Using Stata, Second Edition by Sophia Rabe-Hesketh and Anders Skrondal
  • Multilevel and Longitudinal Modeling Using Stata by Sophia Rabe-Hesketh and Anders Skrondal (3 copies)
  • Survey Weights:  A Step-by-Step Guide to Calculation by Richard Valliant and Jill A. Dever
  • A Short Introduction to Stata for Biostatistics, Second Edition by Michael Hills and Bianca L. De Stavola
  • A Short Introduction to Stata for Biostatistics by Michael Hills and Bianca L. De Stavola
  • A Handbook of Statistical Analyses using Stata, Third Edition by Sopha Rabe-Hesketh and Brian Everitt
  • A Handbook of Statistical Analyses using Stata, Second Edition by Sopha Rabe-Hesketh and Brian Everitt Read it Online! UC Only
  • Regression Models for Categorical and Limited Dependent Variables Using Stata, Third Edition by J. Scott Long and Jeremy Freese
  • Regression Models for Categorical and Limited Dependent Variables Using Stata, Second Edition by J. Scott Long and Jeremy Freese (6 copies)
  • Regression Models for Categorical and Limited Dependent Variables Using Stata by J. Scott Long and Jeremy Freese (2 copies)
  • Applied Ordinal Logistic Regression Using Stata by Xing Liu
  • Survey Weights:  A Step-by-Step Guide to Calculation by Richard Valliant and Jill A. Dever
  • A Course in Item Response Theory and Modeling with Stata by Tenko Raykov and George A. Marcoulides
  • An Introduction to Survival Analysis using Stata, Third Edition by Mario Cleves, William Gould, Roberto Gutierrez and Yulia Marchenko
  • An Introduction to Survival Analysis using Stata, Second Edition by Mario Cleves, William Gould, Roberto Gutierrez and Yulia Marchenko (2 copies)
  • An Introduction to Survival Analysis using Stata, Revised Edition by Mario Cleves, William Gould and Roberto Gutierrez
  • An Introduction to Survival Analysis using Stata by Mario Cleves, William Gould and Roberto Gutierrez (2 copies)
  • Flexible Parametric Survival Analysis Using Stata:  Beyond the Cox Model by Patrick Royston and Paul C. Lambert
  • Microeconomics Using Stata, Revised Edition by A. Colin Cameron and Pravin K. Trivedi
  • Microeconomics Using Stata by A. Colin Cameron and Pravin K. Trivedi
  • An Introduction to Modern Econometrics Using Stata by Christopher F. Baum (2 copies)
  • Financial Econometrics Using Stata by Simona Boffelli and Giovanni Urga
  • Event History Analysis with Stata by Hans-Peter Blossfeld, Katrin Golsch and Gotz Rohwer
  • Discovering Structural Equation Modeling Using Stata by Alan C. Acock
  • Psychological Statistics and Psychometrics Using Stata by Scott A. Baldwin
  • Bayesian Analysis with Stata by John Thompson
  • Introduction to Time Series Using Stata by Sean Becketti
  • Maximum Likelihood Estimation with Stata, Fourth Edition by William Gould, Jeffery Pitblado and Brian Poi
  • Maximum Likelihood Estimation with Stata, Third Edition by William Gould, Jeffery Pitblado and William Sribney
  • Maximum Likelihood Estimation with Stata, Second Edition by William Gould, Jeffrey Pitblado and William Sribney
  • Maximum Likelihood Estimation with Stata by William Gould and William Sribney
  • Generalized Linear Models and Extensions, Second Edition by James Hardin and Joseph Hilbe
  • Generalized Linear Models and Extensions by James Hardin and Joseph Hilbe
  • The Mata Book by William Gould
  • Meta-analysis in Stata:  An Updated Collection from the Stata Journal, Second Edition edited by Jonathan A. C. Sterne
  • Meta-analysis in Stata:  An Updated Collection from the Stata Journal edited by Jonathan A. C. Sterne
  • StatConcepts: A Visual Tour of Statistical Ideas by H. Joseph Newton and Jane Harvill
  • Stata Technical Bulletins
    • Stata Technical Bulletin Reprints, May May , STBSTB61 by Stata Corporation (2 copies)
    • Stata Technical Bulletin Reprints, May March , STBSTB54 by Stata Corporation (2 copies)
    • Stata Technical Bulletin Reprints, May March , STBSTB48 by Stata Corporation (2 copies)
    • Stata Technical Bulletin Reprints, May March , STBSTB42 by Stata Corporation (2 copies)
    • Stata Technical Bulletin Reprints, May March , STBSTB36 by Stata Corporation
    • Stata Technical Bulletin Reprints, May March , STBSTB30 by Stata Corporation
    • Stata Technical Bulletin Reprints, May March , STBSTB24 by Stata Corporation
    • Stata Technical Bulletin Reprints, May March , STBSTB18 by Stata Corporation
    • Stata Technical Bulletin Reprints, May March , STB7-STB12 by Stata Corporation
    • Stata Technical Bulletin Reprints, May March , STB1-STB6 by Stata Corporation
    • The Stata Journal, Vol. 19, No. 3, 3rd Quarter
    • The Stata Journal, Vol. 18, No. 4, 4th Quarter
    • The Stata Journal, Vol. 18, No. 1, 1st Quarter
    • The Stata Journal, Vol. 17, No. 4, 4th Quarter
    • The Stata Journal, Vol. 17, No. 3, 3rd Quarter
    • The Stata Journal, Vol. 17, No. 2, 2nd Quarter
    • The Stata Journal, Vol. 17, No. 1, 1st Quarter
    • The Stata Journal, Vol. 16, No. 4, 4th Quarter
    • The Stata Journal, Vol. 16, No. 3, 3rd Quarter
    • The Stata Journal, Vol. 16, No. 2, 2nd Quarter
    • The Stata Journal, Vol. 16, No. 1, 1st Quarter
    • The Stata Journal, Vol. 15, No. 4 4th Quarter
    • The Stata Journal, Vol. 15, No. 3 3rd Quarter
    • The Stata Journal, Vol. 15, No. 2 2nd Quarter
    • The Stata Journal, Vol. 15, No. 1 1st Quarter
    • The Stata Journal, Vol. 14, No. 4 4th Quarter
    • The Stata Journal, Vol. 14, No. 3 3rd Quarter
    • The Stata Journal, Vol. 14, No. 2 2nd Quarter
    • The Stata Journal, Vol. 14, No. 1 1st Quarter
    • The Stata Journal, Vol. 13, No. 4, 4th Quarter
    • The Stata Journal, Vol. 13, No. 3, 3rd Quarter
    • The Stata Journal, Vol. 13, No. 2, 2nd Quarter
    • The Stata Journal, Vol. 13, No. 1, 1st Quarter
    • The Stata Journal, Vol. 12, No. 4, 4th Quarter
    • The Stata Journal, Vol. 12, No. 3, 3rd Quarter
    • The Stata Journal, Vol. 12, No. 2, 2nd Quarter
    • The Stata Journal, Vol. 12, No. 1, 1st Quarter
    • The Stata Journal, Vol. 11, No. 4, 4th Quarter
    • The Stata Journal, Vol. 11, No. 3, 3rd Quarter
    • The Stata Journal, Vol. 11, No. 2, 2nd Quarter
    • The Stata Journal, Vol. 11, No. 1, 1st Quarter
    • The Stata Journal, Vol. 10, No. 4, 4th Quarter
    • The Stata Journal, Vol. 10, No. 3, 3rd Quarter
    • The Stata Journal, Vol. 10, No. 2, 2nd Quarter
    • The Stata Journal, Vol. 10, No. 1, 1st Quarter
    • The Stata Journal, Vol. 9, No. 4, 4th Quarter
    • The Stata Journal, Vol. 9, No. 3, 3rd Quarter
    • The Stata Journal, Vol. 9, No. 2, 2nd Quarter
    • The Stata Journal, Vol. 9, No. 1, 1st Quarter
    • The Stata Journal, Vol. 8, No. 3, 4th Quarter
    • The Stata Journal, Vol. 8, No. 3, 3rd Quarter
    • The Stata Journal, Vol. 8, No. 2, 2nd Quarter
    • The Stata Journal, Vol. 8, No. 1, 1st Quarter
    • The Stata Journal, Vol. 7, No. 4, 4th Quarter (2 copies)
    • The Stata Journal, Vol. 7, No. 3, 3rd Quarter (2 copies)
    • The Stata Journal, Vol. 7, No. 2, 2nd Quarter (2 copies)
    • The Stata Journal, Vol. 7, No. 1, 1st Quarter (2 copies)
    • The Stata Journal, Vol. 6, No. 4, 4th Quarter (2 copies)
    • The Stata Journal, Vol. 6, No. 2, 3rd Quarter (2 copies)
    • The Stata Journal, Vol. 6, No. 2, 2nd Quarter (2 copies)
    • The Stata Journal, Vol. 6, No. 1, 1st Quarter (2 copies)
    • The Stata Journal, Vol. 5, No. 4, 4th Quarter (2 copies)
    • The Stata Journal, Vol. 5, No. 3, 3rd Quarter (2 copies)
    • The Stata Journal, Vol. 5, No. 2, 2nd Quarter (2 copies)
    • The Stata Journal, Vol. 5, No. 1, 1st Quarter (2 copies)
    • The Stata Journal, Vol. 4, No. 4, 4th Quarter (2 copies)
    • The Stata Journal, Vol. 4, No. 3, 3rd Quarter (2 copies)
    • The Stata Journal, Vol. 4, No. 2, 2nd Quarter (2 copies)
    • The Stata Journal, Vol. 4, No. 1, 1st Quarter (2 copies)
    • The Stata Journal, Vol. 3, No. 4, 4th Quarter (2 copies)
    • The Stata Journal, Vol. 3, No. 3, 3rd Quarter
    • The Stata Journal, Vol. 3, No. 2, 2nd Quarter
    • The Stata Journal, Vol. 3, No. 1, 1st Quarter (2 copies)
    • The Stata Journal, Vol. 2, No. 4, 4th Quarter
    • The Stata Journal, Vol. 2, No. 3, 3rd Quarter
    • The Stata Journal, Vol. 2, No. 2, 2nd Quarter
    • The Stata Journal, Vol. 2, No. 1, 1st Quarter
    • The Stata Journal, Vol. 1, No. 1, 4th Quarter
  • Stata 10 Manuals
    • Getting Started with Stata for Windows
    • Getting Started with Stata for Macintosh
    • Getting Started with Stata for Unix
    • Quick Reference and Index
    • User&#;s Guide
    • Reference A-H
    • Reference I-P
    • Reference Q-Z
    • Data Management
    • Graphics
    • Longitudinal/Panel Data
    • Multivariate Statistics
    • Programming
    • Survey Data
    • Survival Analysis and Epidemiological Tables
    • Time Series
    • Mata Matrix Programming M0-M3
    • Mata Matrix Programming M4-M6
  • Stata 9 Manuals
    • Getting Started with Stata for Windows
    • Getting Started with Stata for Macintosh
    • Getting Started with Stata for UNIX
    • Quick Reference and Index
    • User&#;s Guide
    • Reference A-J
    • Reference K-Q
    • Reference R-Z
    • Data Management
    • Graphics
    • Longitudinal/Panel Data
    • Multivariate Statistics
    • Programming
    • Survey Data
    • Survival Analysis and Epidemiological Tables
    • Time Series
    • Mata
  • Stata 8 Manuals
    • Getting Started with Stata for Windows
    • User&#;s Guide
    • Reference  A-F
    • Reference G-M
    • Reference N-R
    • Reference S-Z
    • Cluster Analysis
    • Cross-Sectional Time-Series
    • Graphics
    • Programming
    • Survey Data
    • Survival Analysis and Epidemiological Tables
    • Time Series
• SPSS
  • A Handbook of Statistical Analyses using SPSS by Sabine Landau and Brain S. Everitt
  • SPSS Programming and Data Management: A Guide for SPSS and SAS Users, Fourth Edition by Raynald Levesque
  • SPSS Programming and Data Management: A Guide for SPSS and SAS Users, Second Edition by Raynald Levesque
  • An Intermediate Guide to SPSS Programming:  Using Syntax for Data Management by Sarah Boslaugh
  • SPSS Statistics for Data Analysis and Visualization by Keith McCormick and Jesus Salcedo
  • SPSS Advanced Models
  • SPSS Guide to Data Analysis by Marija J. Norusis
  • SPSS Statistical Procedures Companion by Marija J. Norusis
  • SPSS Advanced Statistical Procedures Companion by Marija J. Norusis
  • SPSS Statistical Procedures Companion by Marija J. Norusis
  • SPSS Guide to Data Analysis by Marija J. Norusis
  • SPSS For Windows: Step by Step by Darren George and Paul Mallery
  • SPSS for Psychologists, Third Edition by Nicola Brace, Richard Kemp and Rosemary Snelgar
  • Next Steps with SPSS by Eric L. Einspruch
  • Levine&#;s Guide to SPSS for Analysis of Variance, Second Edition by Melanie C. Page, Sanford L. Braver and David P. MacKinnon
  • Statistical Analysis Quick Reference Guidebook with SPSS Examples by Alan C. Elliott and Wayne A. Woodward
  • Using SPSS for Windows for Data Analysis and Graphics by Kristin Voelkl and Susan Gerber
  • Multilevel and Longitudinal Modeling with IBM SPSS, Second Edition by Ronald H. Heck, Scott L. Thomas and Lynn N. Tabata
  • Multilevel and Longitudinal Modeling with IBM SPSS by Ronald H. Heck,Scott L. Thomas and Lynn N. Tabata
  • Discovering Statistics Using SPSS for Windows, Second Edition by Andy Field
  • Discovering Statistics Using SPSS for Windows by Andy Field
  • Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS by Robert Ho
  • The SPSS Book by Matthew J. Zagumny
  • Doing Statistical Analysis with SPSS 12 by Carver and Nash
  • Doing Statistical Analysis with SPSS 10 by Carver and Nash
  • SPSS for Windows: An Introduction to Use and Interpretation in Research by Morgan, Griego, and Gloeckner
  • SPSS in Practice: An Illustrated Guide by Basant K. Puri
  • Quantitative Data Analysis with SPSS Release 10 for Windows by Alan Bryman and Duncan Cramer
  • Data Analysis for the Behavioral Sciences Using SPSS by Sharon Lawner Weinberg, Sarah Knapp Abramowitz
  • SPSS Manuals
    • SPSS Syntax Reference Guide, Vol. I
    • SPSS Syntax Reference Guide, Vol. II
• R
  • An R and S-Plus Companion to Applied Regression by John Fox
  • Linear Models with R by Julian J. Faraway
  • Data Analysis and Graphics Using R by John Maindonald and John Braun
  • Using R for Introductory Statistics by John Verzani
  • R in a Nutshell:  A Desktop Quick Reference by Joseph Adler
  • R for Stata Users by Robert A. Muenchen and Joseph M. Hilbe
  • R for SAS and SPSS Users by Robert A. Muenchen
  • Introductory Statistics with R by Peter Dalgaard (2 copies)
  • Statistical Analysis with R by John M. Quick
  • Statistics and Data with R:  An Applied Approach Through Examples by Yosef Cohen and Jeremiah Y. Cohen
  • Multilevel Modeling Using R by W. Holmes Finch, Jocelyn E. Bolin and Ken Kelley
  • Multivariate Generalized Linear Mixed Models Using R by Damon M. Berridge and Robert Crouchley
  • Laten Variable Modeling Using R: A Step-by-step Guide by A. Alexander Beaujean
  • R Graphics by Paul Murrell
  • GGPLOT2:  Elegant Graphics for Data Analysis by Hadley Wickham
  • An R and S-Plus Companion to Multivariate Analysis by Brian Everitt
  • Complex Surveys:  A Guide to Analysis Using R by Thomas Lumley
  • Meta-analysis with R by Fuido Scharzer, James R. Carpenter and Gerta Rucker
  • Statistical Tools for Nonlinear Regression:  A Practical Guide with S-Plus and R Examples by S. Huet, A. Bouvier, M.-A. Poursat and E. Jolivet
  • Statistical Analysis and Data Display:  An Intermediate Course with Examples in S-Plus, R and SAS by Richard M. Heiberger and Burt Holland
  • Generalized Additive Models:  An Introduction with R by Simon N. Wood
  • Online Books
• S/S-PLUS
  • S-PLUS
    • Handbook of Statistical Analyses using S-PLUS, Second Edition by Brian S. Everitt (Online Only, UC Only
    • Modern Applied Statistics with S, Fourth Edition by W. N. Venables and B. D. Ripley (2 copies)
    • Programming with Data:  A Guide to the S Language by John M. Chambers
    • The Basics of S-PLUS, Third Edition by Andreas Krause and Melvin Olson
    • An Introduction to S and S-PLUS by Phil Spector
    • S Programming by W. N. Venables and B. D. Ripley
    • Analyzing Medical Data using S-Plus by Brian Everitt and Sophia Rabe-Hesketh
    • Statistical Computing: An Introduction to Data Analysis Using S-PLUS by Michael J. Crawley
    • Introduction to S-PLUS for Windows by Longhow Lam