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Eray Selçuk; Ergül Demir – International Journal of Assessment Tools in Education, 2024
This research aims to compare the ability and item parameter estimations of Item Response Theory according to Maximum likelihood and Bayesian approaches in different Monte Carlo simulation conditions. For this purpose, depending on the changes in the priori distribution type, sample size, test length, and logistics model, the ability and item…
Descriptors: Item Response Theory, Item Analysis, Test Items, Simulation
Alqarni, Abdulelah Mohammed – Journal on Educational Psychology, 2019
This study compares the psychometric properties of reliability in Classical Test Theory (CTT), item information in Item Response Theory (IRT), and validation from the perspective of modern validity theory for the purpose of bringing attention to potential issues that might exist when testing organizations use both test theories in the same testing…
Descriptors: Test Theory, Item Response Theory, Test Construction, Scoring
Eaton, Philip; Johnson, Keith; Barrett, Frank; Willoughby, Shannon – Physical Review Physics Education Research, 2019
For proper assessment selection understanding the statistical similarities amongst assessments that measure the same, or very similar, topics is imperative. This study seeks to extend the comparative analysis between the brief electricity and magnetism assessment (BEMA) and the conceptual survey of electricity and magnetism (CSEM) presented by…
Descriptors: Test Theory, Item Response Theory, Comparative Analysis, Energy
Ilhan, Mustafa; Guler, Nese – Eurasian Journal of Educational Research, 2018
Purpose: This study aimed to compare difficulty indices calculated for open-ended items in accordance with the classical test theory (CTT) and the Many-Facet Rasch Model (MFRM). Although theoretical differences between CTT and MFRM occupy much space in the literature, the number of studies empirically comparing the two theories is quite limited.…
Descriptors: Difficulty Level, Test Items, Test Theory, Item Response Theory
Dirlik, Ezgi Mor – International Journal of Progressive Education, 2019
Item response theory (IRT) has so many advantages than its precedent Classical Test Theory (CTT) such as non-changing item parameters, ability parameter estimations free from the items. However, in order to get these advantages, some assumptions should be met and they are; unidimensionality, normality and local independence. However, it is not…
Descriptors: Comparative Analysis, Nonparametric Statistics, Item Response Theory, Models
Ramsay, James O.; Wiberg, Marie – Journal of Educational and Behavioral Statistics, 2017
This article promotes the use of modern test theory in testing situations where sum scores for binary responses are now used. It directly compares the efficiencies and biases of classical and modern test analyses and finds an improvement in the root mean squared error of ability estimates of about 5% for two designed multiple-choice tests and…
Descriptors: Scoring, Test Theory, Computation, Maximum Likelihood Statistics
Choi, Kyong Mi; Lee, Young-Sun; Park, Yoon Soo – EURASIA Journal of Mathematics, Science & Technology Education, 2015
International trended assessments have long attempted to provide instructional information to educational researchers and classroom teachers. Studies have shown that traditional methods of item analysis have not provided specific information that can be directly applicable to improve student performance. To this end, cognitive diagnosis models…
Descriptors: International Assessment, Mathematics Tests, Grade 8, Models
Mitchell, Alison M.; Truckenmiller, Adrea; Petscher, Yaacov – Communique, 2015
As part of the Race to the Top initiative, the United States Department of Education made nearly 1 billion dollars available in State Educational Technology grants with the goal of ramping up school technology. One result of this effort is that states, districts, and schools across the country are using computerized assessments to measure their…
Descriptors: Computer Assisted Testing, Educational Technology, Testing, Efficiency
Maydeu-Olivares, Alberto – Measurement: Interdisciplinary Research and Perspectives, 2013
In this rejoinder, Maydeu-Olivares states that, in item response theory (IRT) measurement applications, the application of goodness-of-fit (GOF) methods informs researchers of the discrepancy between the model and the data being fitted (the room for improvement). By routinely reporting the GOF of IRT models, together with the substantive results…
Descriptors: Goodness of Fit, Models, Evaluation Methods, Item Response Theory
Bretz, Stacey Lowery; Linenberger, Kimberly J. – Biochemistry and Molecular Biology Education, 2012
Enzyme function is central to student understanding of multiple topics within the biochemistry curriculum. In particular, students must understand how enzymes and substrates interact with one another. This manuscript describes the development of a 15-item Enzyme-Substrate Interactions Concept Inventory (ESICI) that measures student understanding…
Descriptors: Biochemistry, Science Education, Science Instruction, Scientific Concepts
Yorke, Mantz; Orr, Susan; Blair, Bernadette – Studies in Higher Education, 2014
There has long been the suspicion amongst staff in Art & Design that the ratings given to their subject disciplines in the UK's National Student Survey are adversely affected by a combination of circumstances--a "perfect storm". The "perfect storm" proposition is tested by comparing ratings for Art & Design with those…
Descriptors: Student Surveys, National Surveys, Art Education, Design
Almehrizi, Rashid S. – Applied Psychological Measurement, 2013
The majority of large-scale assessments develop various score scales that are either linear or nonlinear transformations of raw scores for better interpretations and uses of assessment results. The current formula for coefficient alpha (a; the commonly used reliability coefficient) only provides internal consistency reliability estimates of raw…
Descriptors: Raw Scores, Scaling, Reliability, Computation
Deng, Nina – ProQuest LLC, 2011
Three decision consistency and accuracy (DC/DA) methods, the Livingston and Lewis (LL) method, LEE method, and the Hambleton and Han (HH) method, were evaluated. The purposes of the study were: (1) to evaluate the accuracy and robustness of these methods, especially when their assumptions were not well satisfied, (2) to investigate the "true"…
Descriptors: Item Response Theory, Test Theory, Computation, Classification
Vannest, Kimberly J.; Parker, Richard I.; Davis, John L.; Soares, Denise A.; Smith, Stacey L. – Behavioral Disorders, 2012
More and more, schools are considering the use of progress monitoring data for high-stakes decisions such as special education eligibility, program changes to more restrictive environments, and major changes in educational goals. Those high-stakes types of data-based decisions will need methodological defensibility. Current practice for…
Descriptors: Decision Making, Educational Change, Regression (Statistics), Field Tests
Wang, Jianjun – School Science and Mathematics, 2011
As the largest international study ever taken in history, the Trend in Mathematics and Science Study (TIMSS) has been held as a benchmark to measure U.S. student performance in the global context. In-depth analyses of the TIMSS project are conducted in this study to examine key issues of the comparative investigation: (1) item flaws in mathematics…
Descriptors: Test Items, Figurative Language, Item Response Theory, Benchmarking