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Optimal test designs for polytomously scored items
Author(s) -
Berger Martijn P. F.,
Mathijssen Eric
Publication year - 1997
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.2044-8317.1997.tb01107.x
Subject(s) - item response theory , test (biology) , test design , test theory , econometrics , statistical hypothesis testing , computer science , statistics , reliability engineering , psychology , mathematics , psychometrics , test method , engineering , paleontology , biology
As achievement testing gained currency in educational and psychological measurement, and item response theory (IRT) models were used more frequently to analyse such test data, the need for more efficient test designs became urgent. The results from the statistical theory on optimal design can be applied to the assembly of achievement tests by means of IRT models. Up till now, efficient test designs were considered only in relation to IRT models for dichotomous responses. In this paper the optimal assembly of tests will be considered for polytomously scored responses.