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: [email protected]
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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