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Measurement Error Adjustment Using The Simex Method: An Application To Student Growth Percentiles, Yi Shang

Yi Shang

Growth models are used extensively in the context of educational accountability to evaluate student-, class-, and school-level growth. However, when error-prone test scores are used as independent variables or right-hand-side controls, the estimation of such growth models can be substantially biased. This article introduces a simulation-extrapolation (SIMEX) method that corrects measurement error induced bias. The SIMEX method is applied to quantile regression, which is the basis of Student Growth Percentile, a descriptive growth model adopted in a number of states to diagnose and project student growth. A simulation study is conducted to demonstrate the performance of the SIMEX method in …