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st: analysis of grouped mixed-factor count data


From   "Charles A Pierce (capierce)" <capierce@memphis.edu>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   st: analysis of grouped mixed-factor count data
Date   Wed, 18 Nov 2009 12:04:32 -0600

Dear Statalist:

Is there a way, perhaps via a mixed-factor chi-square or loglinear model or HLM, to analyze grouped count data such as the following (N = 400; 200 cases in each treatment condition; treatment condition is between Ss and pre-post is within Ss; I don't have individual-level data, just grouped count data like you see below; DV = # of cases observed engaging in a behavior at pre and post):

               Pretest    Posttest
Treatment 1      150          80
Treatment 2      150         100

I need to determine whether the change in # of cases from pre to post differs depending on treatment condition.  Any advice would be greatly appreciated, thanks ...

--Chuck

2009-2010 Past Chair
Research Methods Division, Academy of Management

*******************************************
Charles A. Pierce, Ph.D.
Professor of HR Management
Coordinator, Ph.D. Program
Department of Management
Fogelman College of Business
University of Memphis
Memphis, TN  38152-3120
Voice: (901) 678-3159
Email: capierce@memphis.edu
Web:   http://profiles.memphis.edu/capierce
*******************************************

Founding Member, U of Memphis Center for Organizational Research and Effectiveness (UMCORE)
Web:  http://memphis.edu/psychology/umcore
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