Minimizing the testlet effect: Identifying critical testlet features by means of tree-based regression

Muirne Paap, Bernard P. Veldkamp

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

275 Downloads (Pure)

Abstract

Standardized tests often group items around a common stimulus. Such groupings of items are called testlets. The potential dependency among items within a testlet is generally ignored in practice, even though a basic assumption of item response theory (IRT) is that individual items are independent of one another. A technique called tree-based regression (TBR) was applied to identify key features of stimuli that could properly predict the dependence structure of testlet data. Knowledge about these features might help to develop item sets with small testlet effects. This study illustrates the merits of TBR in the analysis of test data.
Original languageEnglish
Title of host publicationPsychometrics in Practice at RCEC
EditorsT.J.H.M. Eggen, B.P. Veldkamp
Place of PublicationEnschede
PublisherRCEC
Pages74-83
Number of pages180
ISBN (Print)978-90-365-3374-4
DOIs
Publication statusPublished - 2012

Fingerprint

Dive into the research topics of 'Minimizing the testlet effect: Identifying critical testlet features by means of tree-based regression'. Together they form a unique fingerprint.

Cite this