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Moses, Tim; Liu, Jinghua – Educational Testing Service, 2011
In equating research and practice, equating functions that are smooth are typically assumed to be more accurate than equating functions with irregularities. This assumption presumes that population test score distributions are relatively smooth. In this study, two examples were used to reconsider common beliefs about smoothing and equating. The…
Descriptors: Equated Scores, Data Analysis, Scores, Methods