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As a balance between tedious hand calculation and magical stat packages, I've used Excel. It is also more practical than SPSS. Former students have told me that they were surprised to be using statistics in their eventual careers. They are more likely to have access to Excel than SPSS.
Even in a graduate-level GLM class, I've found Excel to be very useful. Its built-in routines don't go beyond two-way ANOVA. That's great! Having students analyzing higher-order designs through regression analysis gives them an appreciation of the process.
Michael T. Scoles, Ph.D.
Associate Professor of Psychology & Counseling University of Central Arkansas Conway, AR 72035 >>> [EMAIL PROTECTED] 11/9/2005 8:59 AM >>> What follows doesn't quite address your question, but given that you and others on the list (including me!) have students do the work by hand, you might be interested in the following article appearing in the most recent issue of ToP:
Guttmannova, K., Shield, A. L., & Caruso, J. C. (2005). Promoting conceptual understanding of statistics: Definitional versus computational formulas. ToP, 32, 251-253.
The authors question the teaching of computational formulas given that instructional data analyses as well and actual analyses of data are mostly done with statistical programs.
Miguel
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Miguel Roig, Ph.D. Associate Professor Department of Psychology Notre Dame Div., St. John's College St. John's University 300 Howard Avenue Staten Island, NY 10301 (718) 390-4513 Fax: (718) 442-3612 [EMAIL PROTECTED] http://facpub.stjohns.edu/~roigm -------------- Original message ----------------- You are currently subscribed to tips as: [EMAIL PROTECTED] To unsubscribe send a blank email to [EMAIL PROTECTED] You are currently subscribed to tips as: [email protected] To unsubscribe send a blank email to [EMAIL PROTECTED] |
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