Rules for coding dummy variables in multiple regression.

Abstract

An apparent contradiction in the way to code dummy variables between Cohen (1968) and Overall and Spiegel (1969) led to the discovery of a general formula for coding dummy variables. The formula is based on demonstrating a theoretical connection between multiple comparison and dummy multiple regression. Examples are given for various cases of orthogonal and nonorthogonal designs, which explicitly include assumptions about sample size.