TY - JOUR
AU - Levin, Joel R.
AB - 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.
TI - Teaching How to Derive Directly Interpretable Coding Schemes for Multiple Regression Analysis
JF - Journal of Educational Statistics
DO - 10.3102/10769986010003223
DA - 1985-09-01
UR - https://www.deepdyve.com/lp/sage/teaching-how-to-derive-directly-interpretable-coding-schemes-for-Skp4uY07zd
SP - 223
EP - 238
VL - 10
IS - 3
DP - DeepDyve
ER -