Model Selection in Continuous Test Norming With GAMLSS
نویسندگان
چکیده
منابع مشابه
Model Selection in Continuous Test Norming With GAMLSS.
To compute norms from reference group test scores, continuous norming is preferred over traditional norming. A suitable continuous norming approach for continuous data is the use of the Box-Cox Power Exponential model, which is found in the generalized additive models for location, scale, and shape. Applying the Box-Cox Power Exponential model for test norming requires model selection, but it i...
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To compute norms from reference group test scores, continuous norming is preferred over traditional norming. A suitable continuous norming approach for continuous data is the use of the Box–Cox Power Exponential model, which is found in the generalized additive models for location, scale, and shape. Applying the Box–Cox Power Exponential model for test norming requires model selection, but it i...
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Conventional methods for producing test norms are often plagued with "jumps" or "gaps" (i.e., discontinuities) in norm tables and low confidence for assessing extreme scores. We propose a new approach for producing continuous test norms to address these problems that also has the added advantage of not requiring assumptions about the distribution of the raw data: Norm values are established fro...
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Model selection is an important and ubiquitous task in machine learning. To select models with the best future classification performance measured by a goal metric, an evaluation metric is often used to select the best classification model among the competing ones. A common practice is to use the same goal and evaluation metric. However, in several recent studies, it is claimed that using an ev...
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ژورنال
عنوان ژورنال: Assessment
سال: 2017
ISSN: 1073-1911,1552-3489
DOI: 10.1177/1073191117715113