Open AccessA METHOD FOR SEVERELY CONSTRAINED ITEM SELECTION IN ADAPTIVE TESTING
Author(s) -
Stocking Martha L.,
Swanson Len
Publication year - 1992
Publication title -
ets research report series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.235
H-Index - 5
ISSN - 2330-8516
DOI - 10.1002/j.2333-8504.1992.tb01468.x
Subject(s) - computerized adaptive testing , computer science , test (biology) , selection (genetic algorithm) , test design , pencil (optics) , item response theory , machine learning , test management approach , test strategy , industrial engineering , reliability engineering , management science , test method , software , psychometrics , mathematics , statistics , engineering , software development , mechanical engineering , paleontology , software construction , biology , programming language
This paper examines the current state of attempts to incorporate expert test construction practices into a computerized adaptive testing paradigm. A new methodology for incorporating large numbers of constraints on adaptive test item selection is described. This methodology builds on the conventional, that is, linear, test construction practices employed by expert test specialists. The incorporation of such practices is necessary if computerized adaptive testing is to become a serious competitor to conventional paper‐and‐pencil testing in the future. The successful application of this new methodology to the design of an adaptive test in a real‐life setting is demonstrated by an example.