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Books

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
  - Interaction Effects in Factorial Analysis of Variance by James Jaccard
  - Effect Sizes for ANOVA Designs by Jose M. Cortina and Hossein Nouri
  - Multiple Comparisons:Theory and Methods by Jason C. Hsu
  - Multiple Comparison Procedures by Larry E. Toothaker
  - Analysis of Messy Data, Volume III: Analysis of Covariance George A. Milliken Dallas E. Johnson (Online Only, UC Only)
  - Analysis of Pretest-Posttest Designs by Peter L. Bonate (Online Only, UC Only)
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)
- 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
- 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 100: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 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 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
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