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Download full textStemler, Steven E.; Naples, Adam – Practical Assessment, Research & Evaluation, 2021
When students receive the same score on a test, does that mean they know the same amount about the topic? The answer to this question is more complex than it may first appear. This paper compares classical and modern test theories in terms of how they estimate student ability. Crucial distinctions between the aims of Rasch Measurement and IRT are…
Descriptors: Item Response Theory, Test Theory, Ability, Computation
Direct linkHess, Jessica – ProQuest LLC, 2023
This study was conducted to further research into the impact of student-group item parameter drift (SIPD) --referred to as subpopulation item parameter drift in previous research-- on ability estimates and proficiency classification accuracy when occurring in the discrimination parameter of a 2-PL item response theory (IRT) model. Using Monte…
Descriptors: Test Items, Groups, Ability, Item Response Theory
Javed Iqbal; Tanweer Ul Islam – Educational Research and Evaluation, 2024
Economic efficiency demands accurate assessment of individual ability for selection purposes. This study investigates Classical Test Theory (CTT) and Item Response Theory (IRT) for estimating true ability and ranking individuals. Two Monte Carlo simulations and real data analyses were conducted. Results suggest a slight advantage for IRT, but…
Descriptors: Item Response Theory, Monte Carlo Methods, Ability, Statistical Analysis
Raykov, Tenko – Measurement: Interdisciplinary Research and Perspectives, 2023
This software review discusses the capabilities of Stata to conduct item response theory modeling. The commands needed for fitting the popular one-, two-, and three-parameter logistic models are initially discussed. The procedure for testing the discrimination parameter equality in the one-parameter model is then outlined. The commands for fitting…
Descriptors: Item Response Theory, Models, Comparative Analysis, Item Analysis
Cuhadar, Ismail; Binici, Salih – Educational Measurement: Issues and Practice, 2022
This study employs the 4-parameter logistic item response theory model to account for the unexpected incorrect responses or slipping effects observed in a large-scale Algebra 1 End-of-Course assessment, including several innovative item formats. It investigates whether modeling the misfit at the upper asymptote has any practical impact on the…
Descriptors: Item Response Theory, Measurement, Student Evaluation, Algebra
DeMars, Christine E. – Applied Measurement in Education, 2021
Estimation of parameters for the many-facets Rasch model requires that conditional on the values of the facets, such as person ability, item difficulty, and rater severity, the observed responses within each facet are independent. This requirement has often been discussed for the Rasch models and 2PL and 3PL models, but it becomes more complex…
Descriptors: Item Response Theory, Test Items, Ability, Scores
Rios, Joseph A.; Soland, James – Educational and Psychological Measurement, 2021
As low-stakes testing contexts increase, low test-taking effort may serve as a serious validity threat. One common solution to this problem is to identify noneffortful responses and treat them as missing during parameter estimation via the effort-moderated item response theory (EM-IRT) model. Although this model has been shown to outperform…
Descriptors: Computation, Accuracy, Item Response Theory, Response Style (Tests)
The Effect of Item Pools of Different Strengths on the Test Results of Computerized-Adaptive Testing
Kezer, Fatih – International Journal of Assessment Tools in Education, 2021
Item response theory provides various important advantages for exams carried out or to be carried out digitally. For computerized adaptive tests to be able to make valid and reliable predictions supported by IRT, good quality item pools should be used. This study examines how adaptive test applications vary in item pools which consist of items…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Item Response Theory
Akin-Arikan, Çigdem; Gelbal, Selahattin – Eurasian Journal of Educational Research, 2021
Purpose: This study aims to compare the performances of Item Response Theory (IRT) equating and kernel equating (KE) methods based on equating errors (RMSD) and standard error of equating (SEE) using the anchor item nonequivalent groups design. Method: Within this scope, a set of conditions, including ability distribution, type of anchor items…
Descriptors: Equated Scores, Item Response Theory, Test Items, Statistical Analysis
Karadavut, Tugba – International Journal of Assessment Tools in Education, 2019
Item Response Theory (IRT) models traditionally assume a normal distribution for ability. Although normality is often a reasonable assumption for ability, it is rarely met for observed scores in educational and psychological measurement. Assumptions regarding ability distribution were previously shown to have an effect on IRT parameter estimation.…
Descriptors: Item Response Theory, Computation, Bayesian Statistics, Ability
Ranger, Jochen; Kuhn, Jörg-Tobias; Wolgast, Anett – Journal of Educational Measurement, 2021
Van der Linden's hierarchical model for responses and response times can be used in order to infer the ability and mental speed of test takers from their responses and response times in an educational test. A standard approach for this is maximum likelihood estimation. In real-world applications, the data of some test takers might be partly…
Descriptors: Models, Reaction Time, Item Response Theory, Tests
Bjermo, Jonas; Miller, Frank – Applied Measurement in Education, 2021
In recent years, the interest in measuring growth in student ability in various subjects between different grades in school has increased. Therefore, good precision in the estimated growth is of importance. This paper aims to compare estimation methods and test designs when it comes to precision and bias of the estimated growth of mean ability…
Descriptors: Scaling, Ability, Computation, Test Items
Farmer, Cristan A.; Kaat, Aaron J.; Thurm, Audrey; Anselm, Irina; Akshoomoff, Natacha; Bennett, Amanda; Berry, Leandra; Bruchey, Aleksandra; Barshop, Bruce A.; Berry-Kravis, Elizabeth; Bianconi, Simona; Cecil, Kim M.; Davis, Robert J.; Ficicioglu, Can; Porter, Forbes D.; Wainer, Allison; Goin-Kochel, Robin P.; Leonczyk, Caroline; Guthrie, Whitney; Koeberl, Dwight; Love-Nichols, Jamie; Mamak, Eva; Mercimek-Andrews, Saadet; Thomas, Rebecca P.; Spiridigliozzi, Gail A.; Sullivan, Nancy; Sutton, Vernon R.; Udhnani, Manisha D.; Waisbren, Susan E.; Miller, Judith S. – American Journal on Intellectual and Developmental Disabilities, 2020
Although norm-referenced scores are essential to the identification of disability, they possess several features which affect their sensitivity to change. Norm-referenced scores often decrease over time among people with neurodevelopmental disorders who exhibit slower-than-average increases in ability. Further, the reliability of norm-referenced…
Descriptors: Developmental Disabilities, Norm Referenced Tests, Scores, Ability
Xiao, Jiaying; Bulut, Okan – Educational and Psychological Measurement, 2020
Large amounts of missing data could distort item parameter estimation and lead to biased ability estimates in educational assessments. Therefore, missing responses should be handled properly before estimating any parameters. In this study, two Monte Carlo simulation studies were conducted to compare the performance of four methods in handling…
Descriptors: Data, Computation, Ability, Maximum Likelihood Statistics
Bolt, Daniel M.; Kim, Jee-Seon – Journal of Educational Measurement, 2018
Cognitive diagnosis models (CDMs) typically assume skill attributes with discrete (often binary) levels of skill mastery, making the existence of skill continuity an anticipated form of model misspecification. In this article, misspecification due to skill continuity is argued to be of particular concern for several CDM applications due to the…
Descriptors: Cognitive Measurement, Models, Mastery Learning, Accuracy
