Statistics books · Statistics articles · Statistics software · Software · Workflow recommendations

Recent recommendations

• Hunt, A. and D. Thomas 2000.The Pragmatic Programmer New York: Addison-Wesley (Good advice for serious programmers; added 2010-04-05)

Books on statistics

• Agresti, Alan. 1990. Categorical Data Analysis (Wiley Series in Probability and Statistics) Wiley.
• Allison, Paul D. 1995. Survival Analysis Using SAS: A Practical Guide. Cary, NC: SAS Institute Inc.
• Allison, Paul D. 2002. Missing Data (Quantitative Applications in the Social Sciences). Thousand Oaks, CA: Sage.
• Bartholomew, David J., Fiona Steele, Irini Moustaki, and Jane I. Galbraith. 2002. The Analysis and Interpretation of Multivariate Data for Social Scientists (Texts in Statistical Science Series) New York: Chapman and Hall.
• Berk, Richard A. 2003. Regression Analysis: A Constructive Critique (Advanced Quantitative Techniques in the Social Sciences). Sage.
• Bollen, Kenneth A. 1989. Structural Equations with Latent Variables. New York: Wiley.
• Cameron, A. Colin and Pravin K. Trivedi. 1998. Regression Analysis of Count Data (Econometric Society Monographs) New York: Cambridge.
• Cameron, A. Colin and Pravin K. Trivedi. 2006.Microeconometrics: Methods and Applications. New York: Cambridge.
• Fox, John. 1997.Applied Regression Analysis, Linear Models, and Related Methods. Thousand Oaks, CA: Sage Publications.
• Hosmer, David W. and Stanley Lemeshow. 2000. Applied logistic regression (Wiley Series in probability and statistics) New York: Wiley.
• J. Scott Long, 1997, Regression Models for Categorical and Limited Dependent Variables (Advanced Quantitative Techniques in the Social Sciences). Sage Publications. ISBN 0-8039-7374-8.
• J. Scott Long & Jeremy Freese, 2005, Regression Models for Categorical Dependent Variables Using Stata, Second Edition. Stata Press.
• Mitchell, Michael. 2004. A Visual Guide to Stata Graphics College Station, TX: Stata Press.
• Raudenbush, Stephen W. and Anthony S. Bryk. 2002. Hierarchical Linear Models: Applications and Data Analysis Methods (Advanced Quantitative Techniques in the Social Sciences). Thousand Oaks, CA: Sage Press.
• Sophia Rabe-Hesketh, Anders Skrondal. Multilevel and Longitudinal Modeling Using Stata Stata Press.
• Skrondal, Anders and S. Rabe-Hesketh. 2004. Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models. Boca Raton: Chapman & Hall/CRC. 

Articles on statistics

• Winship, Christopher and L. Radbill. 1994. "Sampling weights and regression analysis". Sociological Methods & Research 23: 230-257.

Statistical software

• AMOS is an easy to learn SEM program. It does not handle binary and ordinal indictors.
• DBMSCopy makes it easy to convert data sets among dozens of different file formats.
• LIMDEP is the most powerful program for limited dependent variables. It has a nice, new Windows front end.
• Mplus is a very powerful SEM program from Muthén & Muthén.
• Stata is the general statistical package I like best. Their home page has a lot of useful information on statistics.

Software

• FinePrint prints two pages or four pages of output on a single page using any Windows compatible printer.
• IrfranView is a freeware file viewer; includes screen capture and format conversion.
• Ultraedit is a great text editor. Ultracompare is often very useful when looking for difference between two files.
• Windows Commander is a great shareware file manager for doing data analysis. Includes a nice ftp client, does bit comparison, has a powerful file renamer, includes a thumbnail viewer...
• Scientific Word is a text editor for mathematics that creates LaTeX files.