The Cut-Score Operating Function: A New Tool to Aid in Standard Setting

Autor:	Howard Wainer, Irina Grabovsky
Rok vydání:	2017
Předmět:	Cut score Psychometrics Relation (database) 05 social sciences Robust statistics 050401 social sciences methods 050301 education Word error rate Function (mathematics) Education 0504 sociology Econometrics Sensitivity (control systems) 0503 education Social Sciences (miscellaneous) Mathematics
Zdroj:	Journal of Educational and Behavioral Statistics. 42:251-263
ISSN:	1935-1054 1076-9986
Popis:	In this essay, we describe the construction and use of the Cut-Score Operating Function in aiding standard setting decisions. The Cut-Score Operating Function shows the relation between the cut-score chosen and the consequent error rate. It allows error rates to be defined by multiple loss functions and will show the behavior of each loss function. One strength of the Cut-Score Operating Function is that it shows how robust error rates are to the choice of cut-score and identifies the regions of extreme sensitivity relative to that choice.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0b796dfeb3f1ef79e0f6813b34808d4b https://doi.org/10.3102/1076998617696495 Zobrazit plný text záznamu