Statistics as principled argument, by Abelson. This is not so much a book of how to do statistics (that would be for a stats class) but a book about how to think about statistics, what they mean, and so on.
It's a book I think every social scientist should read, and if you get some people to read it for your class, so much the better Peter Peter L. Flom, PhD Assistant Director, Statistics and Data Analysis Core Center for Drug Use and HIV Research National Development and Research Institutes 71 W. 23rd St www.peterflom.com New York, NY 10010 (212) 845-4485 (voice) (917) 438-0894 (fax) >>> [EMAIL PROTECTED] 3/24/2004 1:07:47 PM >>> Shadish, W.R., Cook, T.D., & Campbell, D.T. (2002). Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Boston: Houghton-Mifflin. this is the latest version of the classic Cook and Campbell and Stanley (previous varied author order). Quasi-experimental designs are those that need to rule out plausible rival hypotheses by methods other than random assignment. Quasi-experimental designs include using existing groups as comparison groups (vs control groups), etc. including surveys. Art [EMAIL PROTECTED] Social Research Consultants University Park, MD USA (301) 864-5570 . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . ================================================================= . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
