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In educational measurement, kernel equating refers to an equating framework that smooths discrete score distributions into continuous ones with Gaussian kernels before equipercentile equating, unifying several data collection designs. This meaning comes from von Davier (2004) in The Kernel Method of Test Equating.[1]
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