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Author ORCID Identifier
Open Access Dissertation
Doctor of Education (EdD)
Education (also CAGS)
Year Degree Awarded
Lisa A. Keller
Erin M. Conlon
Craig S. Wells
Education | Educational Methods | Other Education
In adaptive testing, including multistage adaptive testing (MST), the psychometric properties of the test items are needed to route the examinees through the test. However, if testing programs use items which are automatically generated at the time of administration there is no opportunity to calibrate the items therefore the items’ psychometric properties need to be predicted. This simulation study evaluates the accuracy with which examinees’ abilities can be estimated when automatically generated items, specifically, item clones, are used in MSTs. The behavior of the clones in this study was modeled according to the results of Sinharay and Johnson’s (2008) investigation into item clones that were administered in an experimental section of the Graduate Record Examination (GRE). In the current study, as more clones were incorporated or when the clones varied greatly from the parent items, the examinees’ abilities were not as accurately estimated. However, there were a number of promising conditions; for example, on a 600-point scale, the absolute bias was less than 10 points for most examinees when all items were simulated to be clones with small variation from their parent items or when all first stage items were simulated to have moderate variation from their parents and no items in the second stage were cloned items.
Colvin, Kimberly F., "Effect of Automatic Item Generation on Ability Estimates in a Multistage Test" (2014). Doctoral Dissertations. 4.