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ERIC Number: ED359209
Record Type: Non-Journal
Publication Date: 1993-Apr
Pages: 40
Abstractor: N/A
Reference Count: N/A
Preliminary Statistical Tests.
Olejnik, Stephen; Huberty, Carl J.
Applied researchers frequently precede analyses of interest with one or more preliminary tests, used to help researchers determine which variables to examine more closely, or whether there are anomalies in the data set. These texts can be classified into three categories: omnibus tests, tests for model fit, and exploratory tests. Fifty-four applied journal articles, 31 statistical textbooks, and the statistical literature are reviewed to discuss some limitations associated with uses of some preliminary tests. The focus is on the following topics: (1) the omnibus F-test in analysis of variance; (2) tests for variance equality; (3) tests for equality of regression slopes in analysis of covariance; and (4) tests for sphericity in repeated measures designs. In general, it is concluded that many preliminary statistical tests are not useful. In many contexts, omnibus tests do not answer questions of substantive interest. Preliminary analyses in tests for model fit are unnecessary because alternative less restrictive models can be used, and because many tests for violations of data assumptions lack adequate statistical power, or are overly sensitive to another assumption violation. More focused analyses are advocated, using less restrictive analytical models, and an increased use of exploratory analyses is recommended. One table illustrates the discussion. Lists of the journal articles and textbooks reviewed are appended. (Contains 43 references.) (SLD)
Publication Type: Information Analyses; Reports - Evaluative; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A