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- Title
A Dual‐Purpose Model for Binary Data: Estimating Ability and Misconceptions.
- Authors
Ma, Wenchao; Sorrel, Miguel A.; Zhai, Xiaoming; Ge, Yuan
- Abstract
Most existing diagnostic models are developed to detect whether students have mastered a set of skills of interest, but few have focused on identifying what scientific misconceptions students possess. This article developed a general dual‐purpose model for simultaneously estimating students' overall ability and the presence and absence of misconceptions. The expectation‐maximization algorithm was developed to estimate the model parameters. A simulation study was conducted to evaluate to what extent the parameters can be accurately recovered under varied conditions. A set of real data in science education was also analyzed to examine the viability of the proposed model in practice.
- Subjects
EXPECTATION-maximization algorithms; DATA modeling; DATA science; SCIENCE education; MEDICAL misconceptions
- Publication
Journal of Educational Measurement, 2024, Vol 61, Issue 2, p179
- ISSN
0022-0655
- Publication type
Article
- DOI
10.1111/jedm.12383