Bias-Variance Trade-Off in Continuous Test Norming
Abstract
In continuous test norming, the test score distribution is estimated as a continuous function of predictor(s). A flexible approach for norm estimation is the use of generalized additive models for location, scale, and shape. It is unknown how sensitive their estimates are to model flexibility and sample size. Generally, a flexible model that fits at the population level has smaller bias than its restricted nonfitting version, yet it has larger...
Paper Details
Title
Bias-Variance Trade-Off in Continuous Test Norming
Published Date
Jul 13, 2020
Journal
Volume
28
Issue
8
Pages
1932 - 1948
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