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ERIC Number: ED358134
Record Type: Non-Journal
Publication Date: 1993-Apr-3
Pages: 30
Abstractor: N/A
Reference Count: N/A
The General Linear Model (As Opposed to the Classical Ordinary Sums of Squares) Approach to Analysis of Variance Should Be Taught in Introductory Statistical Methods Classes.
Thompson, Bruce
It is argued that analysis of variance (ANOVA) and related methods should be taught using a general linear model (GLM) approach, rather than a classical ordinary sums of squares approach. The GLM approach emphasizes the linkages among conventional parametric methods, emphasizing that all classical parametric methods are least squares procedures that implicitly or explicitly use weights, focus on latent synthetic variables, and yield effect sizes analogous to "r" squared (are correlational). The case for teaching statistics using a GLM conceptual framework is based on the following four contentions: (1) a GLM instructional approach provides a unifying conceptual framework that better enables students to understand analytic methods; (2) a GLM approach provides a better match between the researcher's analytic model and the researcher's model of reality; (3) the GLM emphasis on planned contrasts helps students understand the critical role of reflective thought in good research; and (4) a GLM instructional approach helps students see that focusing on variance-accounted-for (or other) effect sizes, rather than statistical significance, is important in all analyses. Three tables present analysis examples. A 68-item list of references is included, and an appendix lists Statistical Package for the Social Sciences control cards. (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