Journal article
Pretest Item Calibration in Computerized Multistage Adaptive Testing
Journal of educational measurement, Vol.60(3), pp.379-401
Autumn 2023
DOI: 10.1111/jedm.12361
Abstract
The purpose of this study was to compare calibration and linking methods for placing pretest item parameter estimates on the item pool scale in a 1-3 computerized multistage adaptive testing design in terms of item parameter recovery. Two models were used: embedded-section, in which pretest items were administered within a separate module, and embedded-items, in which pretest items were distributed across operational modules. The calibration methods were separate calibration with linking (SC) and fixed calibration (FC) with three parallel approaches under each (FC-1 and SC-1; FC-2 and SC-2; and FC-3 and SC-3). The FC-1 and SC-1 used only operational items in the routing module to link pretest items. The FC-2 and SC-2 also used only operational items in the routing module for linking, but in addition, the operational items in second stage modules were freely estimated. The FC-3 and SC-3 used operational items in all modules to link pretest items. The third calibration approach (i.e., FC-3 and SC-3) yielded the best results. For all three approaches, SC outperformed FC in all study conditions which were module length, sample size and examinee distributions.
Details
- Title: Subtitle
- Pretest Item Calibration in Computerized Multistage Adaptive Testing
- Creators
- Rabia Karatoprak Ersen - Kastamonu UniversityWon-Chan Lee - Univ Iowa, Educ Measurement & Stat, 210E Lindquist Ctr, Iowa City, IA 52242 USA
- Resource Type
- Journal article
- Publication Details
- Journal of educational measurement, Vol.60(3), pp.379-401
- Publisher
- Wiley
- DOI
- 10.1111/jedm.12361
- ISSN
- 0022-0655
- eISSN
- 1745-3984
- Number of pages
- 23
- Language
- English
- Electronic publication date
- 03/10/2023
- Date published season
- Autumn 2023
- Date published
- 2023
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9984384360302771
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