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ERIC Number: ED406444
Record Type: Non-Journal
Publication Date: 1997-Jan
Pages: 21
Abstractor: N/A
Reference Count: N/A
ISBN: N/A
ISSN: N/A
Non-Factorial ANOVA: Test Only Substantive and Interpretable Hypotheses.
Rodriguez, Maximo
Factorial analyses differ from nonfactorial analyses in that in the former all possible hypotheses (all possible main effects and interaction effects) are tested regardless of their substantive interest to the researcher and their interpretability, while in the latter, only substantive and interpretable hypotheses are tested. This paper shows the circumstances under which nonfactorial analyses are more appropriate than factorial ones. Balanced factorial analyses maximally inflate the experimentwise error rate, and in so doing, they increase the likelihood of making Type I errors. Hypothetical experiments are used to make the discussion more concrete. It is argued that only substantive and interpretable hypotheses in the design should be tested. Uninterpretable hypotheses increase the probability of making Type I error by increasing the experimentwise error rate. (Contains 2 tables and 14 references.) (Author/SLD)
Publication Type: Reports - Evaluative; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A