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ERIC Number: ED449216
Record Type: Non-Journal
Publication Date: 2001-Feb
Pages: 24
Abstractor: N/A
Reference Count: N/A
Increasing the Generalizability of ANOVA Results by Judicious Selection of Fixed-, Random-, and Mixed-Effects ANOVA Models.
Baugh, Frank G.
The analysis of variance (ANOVA) is a frequently used statistical procedure by which the equality of more than two population means can be tested without inflating the Type I error rate (D. Hinkle, W. Wiersma, and S. Jurs, 1998). Fixed-, random-, and mixed-effects ANOVA models are each capable of yielding interesting and useful results when applied in appropriate situations. However, the random- and mixed-effects models offer the added benefit of increasing the generalizability of results. This paper illustrates "rules of thumb" (C. Hicks, 1973) researchers can use to test all three models, explores the factors that should bear on model selection (B. Frederick, 1999), and explains how the Statistical Package for the Social Sciences (SPSS) can be use to evaluate all three models. An appendix contains the SPSS program to analyze fixed- and random-effects models. (Contains 3 tables and 19 references.) (Author/SLD)
Publication Type: Reports - Descriptive; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A