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Abu-Ghazalah, Rashid M.; Dubins, David N.; Poon, Gregory M. K. – Applied Measurement in Education, 2023
Multiple choice results are inherently probabilistic outcomes, as correct responses reflect a combination of knowledge and guessing, while incorrect responses additionally reflect blunder, a confidently committed mistake. To objectively resolve knowledge from responses in an MC test structure, we evaluated probabilistic models that explicitly…
Descriptors: Guessing (Tests), Multiple Choice Tests, Probability, Models
Chu, Wei; Pavlik, Philip I., Jr. – International Educational Data Mining Society, 2023
In adaptive learning systems, various models are employed to obtain the optimal learning schedule and review for a specific learner. Models of learning are used to estimate the learner's current recall probability by incorporating features or predictors proposed by psychological theory or empirically relevant to learners' performance. Logistic…
Descriptors: Reaction Time, Accuracy, Models, Predictor Variables
Coronado, Semei; Sandoval-Bravo, Salvador; Celso-Arellano, Pedro Luis; Torres-Mata, Ana – European Journal of Contemporary Education, 2018
The purpose of this paper is to analyze the test applied at the eighth Statistics II tournament to students from the University Center for Economic and Administrative Sciences of the University of Guadalajara, for the purpose of determining whether it promotes competitive learning among students. To achieve this, Item Response Theory (IRT) is…
Descriptors: Models, Competition, Item Response Theory, Student Motivation
Wind, Stefanie A. – Educational Measurement: Issues and Practice, 2017
Mokken scale analysis (MSA) is a probabilistic-nonparametric approach to item response theory (IRT) that can be used to evaluate fundamental measurement properties with less strict assumptions than parametric IRT models. This instructional module provides an introduction to MSA as a probabilistic-nonparametric framework in which to explore…
Descriptors: Probability, Nonparametric Statistics, Item Response Theory, Scaling
Langelett, George; Chang, Kuo-Liang; Ola' Akinfenwa, Samson; Jorgensen, Nicholas; Bhattarai, Kopila – Journal of Higher Education Policy and Management, 2015
Using a conjoint survey of 161 students at South Dakota State University (SDSU), we mapped a probability-of-enrolment curve for SDSU students, consistent with demand theory. A quasi-demand curve was created from the conditional-logit model. This study shows that along with the price of tuition fees, distance from home, availability of majors, and…
Descriptors: Tuition, Fees, Supply and Demand, Higher Education

Samejima, Fumiko – Psychometrika, 1973
The three-parameter logistic model by Birnbaum for the multiple-choice item in the latent trait theory is considered with respect to the item response information function and the unique maximum condition. (Editor/RK)
Descriptors: Guessing (Tests), Models, Multiple Choice Tests, Probability
Quenette, Mary A.; Nicewander, W. Alan; Thomasson, Gary L. – Applied Psychological Measurement, 2006
Model-based equating was compared to empirical equating of an Armed Services Vocational Aptitude Battery (ASVAB) test form. The model-based equating was done using item pretest data to derive item response theory (IRT) item parameter estimates for those items that were retained in the final version of the test. The analysis of an ASVAB test form…
Descriptors: Item Response Theory, Multiple Choice Tests, Test Items, Computation
Bao, Lei; Redish, Edward F. – Physical Review Special Topics - Physics Education Research, 2006
Decades of education research have shown that students can simultaneously possess alternate knowledge frameworks and that the development and use of such knowledge are context dependent. As a result of extensive qualitative research, standardized multiple-choice tests such as Force Concept Inventory and Force-Motion Concept Evaluation tests…
Descriptors: Physics, Qualitative Research, Statistical Analysis, Prior Learning
Moran, James D., III; McCullers, John C. – 1978
This paper reports on a study conducted to clarify issues involving reward effects in children's probability learning; specifically, the detrimental-effects-of-reward theory, and the utility and expectancy theories. Five event schedules in which the probabilistic versus partial reinforcement dimension was separated from the number of choices in…
Descriptors: Age Differences, College Students, Conflict Resolution, Educational Research