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A Comparison of Strategies for Smoothing Parameter Selection for Mixed-Format Tests Under the Random Groups Design
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.