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Skip to Search Results- 2assessment
- 1Construct shift
- 1Hierarchical general linear modeling
- 1Item parameter drift
- 1Rasch model
- 1adaptive testing
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2020-02-21
Both researchers and practitioners often use Monte Carlo simulations to answer a variety of research questions. Over the past decade, R (R Core Team 2019) has been one of the most popular programming languages for conducting Monte Carlo simulation studies. R (https://www.r-project.org/) is a...
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2013-04-01
Okan Bulut, Kory Vue, Julio C. Cabrera, Luke Stanke, Michael C. Rodriguez, José R. Palma
Item parameter drift (IPD) is defined as differential change in item parameters or ability estimates over time or testing occasions. Unlike previous IPD studies that have focused on change in item parameters over time, this study examined IPD to detect change in item parameters (construct shift)...
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From Adaptive Testing to Personalized Adaptive Testing: Applications of Machine Learning Algorithms
Download2022-11-03
Invited talk given at the Twentieth Annual MARC Virtual Conference on November 3, 2022.