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ITEM SAMPLING AND DECISION‐MAKING IN ACHIEVEMENT TESTING
Author(s) -
Fhanér Stig
Publication year - 1974
Publication title -
british journal of mathematical and statistical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.157
H-Index - 51
eISSN - 2044-8317
pISSN - 0007-1102
DOI - 10.1111/j.2044-8317.1974.tb00537.x
Subject(s) - sampling (signal processing) , test (biology) , probabilistic logic , computer science , statistics , machine learning , econometrics , mathematics , artificial intelligence , paleontology , filter (signal processing) , computer vision , biology
An item‐sampling approach is used to develop a probabilistic model for achievement testing. The model is applied to the problem of deciding whether an examinee should pass or fail, given an observed test score. Provided certain specifications are made, it is possible to estimate the number of items necessary to make this decision with prescribed precision.