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Feuerstahler, Leah; Wilson, Mark – Journal of Educational Measurement, 2019
Scores estimated from multidimensional item response theory (IRT) models are not necessarily comparable across dimensions. In this article, the concept of aligned dimensions is formalized in the context of Rasch models, and two methods are described--delta dimensional alignment (DDA) and logistic regression alignment (LRA)--to transform estimated…
Descriptors: Item Response Theory, Models, Scores, Comparative Analysis
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Shin, Hyo Jeong; Wilson, Mark; Choi, In-Hee – Journal of Educational Measurement, 2017
This study proposes a structured constructs model (SCM) to examine measurement in the context of a multidimensional learning progression (LP). The LP is assumed to have features that go beyond a typical multidimentional IRT model, in that there are hypothesized to be certain cross-dimensional linkages that correspond to requirements between the…
Descriptors: Middle School Students, Student Evaluation, Measurement Techniques, Learning Processes
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Wilson, Mark; Gochyyev, Perman; Scalise, Kathleen – Journal of Educational Measurement, 2017
This article summarizes assessment of cognitive skills through collaborative tasks, using field test results from the Assessment and Teaching of 21st Century Skills (ATC21S) project. This project, sponsored by Cisco, Intel, and Microsoft, aims to help educators around the world enable students with the skills to succeed in future career and…
Descriptors: Cognitive Ability, Thinking Skills, Evaluation Methods, Educational Assessment
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Wilson, Mark; Hoskens, Machteld – Journal of Educational and Behavioral Statistics, 2001
Introduces the Rater Bundle Model, an item response model for repeated ratings of student work. Applies the model to real and simulated data to illustrate the approach, which was motivated by the observation that when repeated ratings occur, the assumption of conditional independence is violated, and current item response models can then…
Descriptors: Error of Measurement, Evaluators, Item Response Theory, Models
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Mislevy, Robert J.; Wilson, Mark – Psychometrika, 1996
Marginal maximum likelihood estimation equations are derived for the structural parameters of the Saltus model, and a computing approximation is suggested based on the EM algorithm. The solution is illustrated with simulated data and an example from the domain of mixed number subtraction. (SLD)
Descriptors: Bayesian Statistics, Cognitive Tests, Equations (Mathematics), Individual Development
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Wang, Wen-Chung; Wilson, Mark – Educational and Psychological Measurement, 2005
This study presents a procedure for detecting differential item functioning (DIF) for dichotomous and polytomous items in testlet-based tests, whereby DIF is taken into account by adding DIF parameters into the Rasch testlet model. Simulations were conducted to assess recovery of the DIF and other parameters. Two independent variables, test type…
Descriptors: Test Format, Test Bias, Item Response Theory, Item Analysis