April 30, 2008

Social Science Statistics Blog

I just discovered a very useful blog: the "Social Science Statistics Blog" from the Institute for Quantitative Social Science at Harvard. LOTS of excellent resources and interesting discussions here. This is their description of the blog:

"This blog makes public the hallway conversations about social science statistical methods and analysis from the Institute for Quantitative Social Science and related research groups. Expect to see posts on trends in methodological thought, questions and comments, paper and conference announcements, applied problems needing methodological solutions, and methodological techniques seeking applied problems. Also included are summaries of papers and comments from a popular weekly research workshop held here and billed as a tour of Harvard's statistical innovations and applications with weekly stops in different disciplines."

Posted by hgroteva at 12:13 PM

March 3, 2007

New Methods Resources - Recommended by 5014 Students

User-friendly multivariate stats resource
Statnotes: Topics in Multivariate Analysis, by G. David Garson



This ten chapter research methods text is written for both undergraduate and graduate students in education, psychology, and the social sciences. It focuses on the basics of research design and the critical analysis of professional research in the social sciences from developing a theory, selecting subjects, and testing subjects to performing statistical analysis and writing the research report.

Author: Dr. Christopher L. Heffner
Licensed Psychologist
Published: March 11, 2004


Web Page with many statistics and methods links


Interactive Tutorial on Analysis of Covariance



ANCOVA web page


Here's an article from Economist.com called
"Why so much medical research is rot"

It focuses on the testing of multiple hypotheses within a study and is worth reading.


Posted by hgroteva at 9:01 PM

October 5, 2005

Create your own regression line

This is a fun exercise. You can plot your own regression line and see the residuals. In fact, you can find a link to several Java based interactive probability and statistical tools on Charles Stanton's home page. Enjoy!

Posted by vonko002 at 10:10 PM

September 28, 2005

Favorite Stats Books

Here are some of my favorite statistics books, in no particular order. If you have a favorite book, e-mail it to us along with a brief statement about why you've found it useful, and we'll add it to the list.

Rowntree, Derek. (1981) Statistics without tears: A primer for non-mathematicians. New York: Scribners.

--with a title like that, what can I add?? This is a concise, user-friendly introduction to the basic foundations of all social statistics. Highly recommended for beginners and as a refresher for everyone.

Tabachnick, Barbara G., & Fidell, Linda S. (1996). Using multivariate statistics (3rd Ed.). New York: Harper Collins. [may be out in a more current revision already]

--this is the most user-friendly and comprehensive multivariate text I know of. It's very thorough, but very readable. Very little matrix algebra is used, the writing is clear, and the figures are very helpful.

Grimm, Laurence G., & Yarnold, Paul R. (199 ). Reading and understanding multivariate statistics. Washington, DC: American Psychological Association.
Grimm, Laurence G., & Yarnold, Paul R. (2000.) Reading and understanding MORE multivariate statistics. Washington, DC: American Psychological Association.

--this pair of books surveys the most commonly used multivariate techniques. Each chapter (one per technique) is clearly written and focuses on when and why you would use the approach. Discussion is clear and non-mathematical.

Cohen, J., Cohen, P., West, S.G., & Aiken, L.S. (2003). Applied multiple regression / correlation analysis for the behavioral sciences (3rd Ed.). Mahwah, NJ: Erlbaum.

--I will always have a soft spot in my heart for this book, because the first edition helped me get through my dissertation (1977). It provides a very comprehensive yet readable treatment of multiple regression. It's more mathematical than the books listed above, but if you work through it patiently, you will be greatly rewarded.


Posted by hgroteva at 9:19 PM