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Predictors are variables that can be included in your data file/study to provide additional information to explain/predict the outcome. Unlike subgroups, predictors should not be categorical, but continuous or dichotomous (e.g., coded 0 or 1 for absence or presence of a characteristic), and can take any numeric value. You will have the option to label and describe these variables. A study can have up to five additional predictors. An example of a predictor provided by an institution may be an academic rigor index or number of years of Math coursework.

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