Abstract
Goal attainment scaling (GAS) is a patient-centric outcome measure that captures meaningful change through personally identified treatment goals. For each goal, a 5-point attainment scale is defined to describe possible outcomes, with the midpoint representing the “expected outcome”. A key assumption in GAS analysis is that the scores on the scale approximate a normal distribution. Using data simulation techniques, we investigated whether GAS performance varied if the assumption of normality was violated.
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