Using Effect Coding to Study Minoritized Populations
Put simply, effect coding allows researchers to compare groups of data to the average (mean) of the sample, as opposed to another group of data (Mayhew & Simonoff, 2015). This contrasts with indicator (dummy) coding, which uses a single group as a reference group. This is particularly useful when comparing groups of participants, separated by identity.