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- Title
Teaching How to Derive Directly Interpretable Coding Schemes for Multiple Regression Analysis.
- Authors
Serlin, Ronald C.; Levin, Joel R.
- Abstract
Multiple linear regression is a versatile model for encompassing analysis of variance, analysis of covariance, and aptitude-by-treatment interaction designs. The question of how to teach the coding of levels of a qualitative variable is addressed in this paper. Although a variety of coding schemes will produce invariant omnibus statistical results for a given set of data, one's interpretation of treatment effects and treatment differences depends on the particular code values chosen. A general procedure is presented that allows the user to generate, on an a priori basis, code values that result in directly interpretable estimates of interest.
- Publication
Journal of Educational & Behavioral Statistics, 1985, Vol 10, Issue 3, p223
- ISSN
1076-9986
- Publication type
Article
- DOI
10.3102/10769986010003223