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ERIC Number: ED409375
Record Type: Non-Journal
Publication Date: 1997-Mar
Pages: 14
Abstractor: N/A
Reference Count: N/A
ISBN: N/A
ISSN: N/A
When the Difference between Two Correlations Can Be Tested by the Interaction between Continuous Variable and a Dichotomous Variable.
McNeil, Keith; Newman, Isadore
Analyses were conducted to determine whether the two statistical tests of significance are identical. Such demonstrations regarding parallel correlational and analysis of variance procedures have brought further understanding to each of the domains in the past. When a researcher is investigating the relationship between two variables and thinks that the relationship may be different for two subpopulations under consideration, that question can be tested. Some texts present this test as the test of significance for the difference between two correlations. The test uses the Fischer "z" transformation on the two sample correlations. The interaction between a dichotomous variable and a continuous variable is often of interest and can be tested within the general linear model approach. Two examples in which the z and F results are the same, and two in which they are different are presented. For most practical purposes, the two conceptually similar tests of significance actually test slightly different questions. The research hypothesis should be stated clearly to assure use of the right test of significance. (Contains 2 tables, 4 figures, and 16 references.) (SLD)
Publication Type: Reports - Evaluative; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A