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- URN to cite this document:
- urn:nbn:de:bvb:355-epub-356295
- DOI to cite this document:
- 10.5283/epub.35629
Alternative links to fulltext:DOI
Abstract
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 from raw ...
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