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ERIC Number: ED382641
Record Type: RIE
Publication Date: 1995-Apr
Pages: 106
Abstractor: N/A
Reference Count: N/A
Curvilinear Relationships in Special Education Research: How Multiple Regression Analysis Can Be Used To Investigate Nonlinear Effects.
Barringer, Mary S.
Researchers are becoming increasingly aware of the advantages of using multiple regression as opposed to analysis of variance (ANOVA) or analysis of covariance (ANCOVA). Multiple regression is more versatile and does not force the researcher to throw away variance by categorizing intervally scaled data. Polynomial regression analysis offers the investigator a method of analyzing curvilinear relationships with relative ease through commonly available statistical packages such as the Statistical Package for the Social Sciences (SPSS). This paper explores polynomial regression as an alternative to ANOVA for exploring nonlinear relationships. Challenges in interpreting the individual coefficients produced by polynomial regression are examined. Nine tables and four figures illustrate the discussion. Appendixes A and B illustrate SPSS output. (Contains 8 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
Identifiers: Curvilinear Functions; Nonlinear Models; Polynomial Regression Models; Statistical Package for the Social Sciences
Note: Paper presented at the Annual Meeting of the American Educational Research Association (San Francisco, CA, April 18-22, 1995).