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RESEARCH LIBRARY

View recent publications to learn how the NBME research team is working to improve our products and services, advance the field of assessment science, and support the health professions.

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Posted: December 1, 2018 | C. Liu, M. J. Kolen

Journal of Educational Measurement: Volume 55, Issue 4, Pages 564-581

 

Smoothing techniques are designed to improve the accuracy of equating functions. The main purpose of this study is to compare seven model selection strategies for choosing the smoothing parameter (C) for polynomial loglinear presmoothing and one procedure for model selection in cubic spline postsmoothing for mixed‐format pseudo tests under the random groups design.