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Showing 1 to 15 of 49 results Save | Export
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Soland, James – Educational Measurement: Issues and Practice, 2019
As computer-based tests become more common, there is a growing wealth of metadata related to examinees' response processes, which include solution strategies, concentration, and operating speed. One common type of metadata is item response time. While response times have been used extensively to improve estimates of achievement, little work…
Descriptors: Test Items, Item Response Theory, Metadata, Self Efficacy
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van der Lans, Rikkert M.; van de Grift, Wim J. C. M.; van Veen, Klaas – Educational Measurement: Issues and Practice, 2019
Using item response theory, this study explores whether student survey and classroom observation items can be calibrated onto a common metric of teaching quality. The data comprises 269 lessons of 141 teachers that were scored on the International Comparative Analysis of Learning and Teaching (ICALT) observation instrument and the My Teacher…
Descriptors: Item Response Theory, Student Surveys, Classroom Observation Techniques, Teacher Effectiveness
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Sinharay, Sandip – Educational Measurement: Issues and Practice, 2019
Test score users often demand the reporting of subscores due to their potential diagnostic, remedial, and instructional benefits. Therefore, there is substantial pressure on testing programs to report subscores. However, professional standards require that subscores have to satisfy minimum quality standards before they can be reported. In this…
Descriptors: Testing, Scores, Item Response Theory, Evaluation Methods
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Yoo, Hanwook; Hambleton, Ronald K. – Educational Measurement: Issues and Practice, 2019
Item analysis is an integral part of operational test development and is typically conducted within two popular statistical frameworks: classical test theory (CTT) and item response theory (IRT). In this digital ITEMS module, Hanwook Yoo and Ronald K. Hambleton provide an accessible overview of operational item analysis approaches within these…
Descriptors: Item Analysis, Item Response Theory, Guidelines, Test Construction
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Ames, Allison; Myers, Aaron – Educational Measurement: Issues and Practice, 2019
Drawing valid inferences from modern measurement models is contingent upon a good fit of the data to the model. Violations of model-data fit have numerous consequences, limiting the usefulness and applicability of the model. As Bayesian estimation is becoming more common, understanding the Bayesian approaches for evaluating model-data fit models…
Descriptors: Bayesian Statistics, Psychometrics, Models, Predictive Measurement
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Madison, Matthew J. – Educational Measurement: Issues and Practice, 2019
Recent advances have enabled diagnostic classification models (DCMs) to accommodate longitudinal data. These longitudinal DCMs were developed to study how examinees change, or transition, between different attribute mastery statuses over time. This study examines using longitudinal DCMs as an approach to assessing growth and serves three purposes:…
Descriptors: Longitudinal Studies, Item Response Theory, Psychometrics, Criterion Referenced Tests
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Allen, Jeff; Mattern, Krista – Educational Measurement: Issues and Practice, 2019
We examined summary indices of high school performance (coursework, grades, and test scores) based on the graded response model (GRM). The indices varied by inclusion of ACT test scores and whether high school courses were constrained to have the same difficulty and discrimination across groups of schools. The indices were examined with respect to…
Descriptors: High School Students, Academic Achievement, Secondary School Curriculum, Difficulty Level
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Jerrim, John; Parker, Philip; Choi, Alvaro; Chmielewski, Anna Katyn; Sälzer, Christine; Shure, Nikki – Educational Measurement: Issues and Practice, 2018
The Programme for International Student Assessment (PISA) is an important international study of 15-olds' knowledge and skills. New results are released every 3 years, and have a substantial impact upon education policy. Yet, despite its influence, the methodology underpinning PISA has received significant criticism. Much of this criticism has…
Descriptors: Educational Assessment, Comparative Education, Achievement Tests, Foreign Countries
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Wind, Stefanie A. – Educational Measurement: Issues and Practice, 2018
In this digital ITEMS module, we introduce the framework of nonparametric item response theory (IRT), in particular Mokken scaling, which can be used to evaluate fundamental measurement properties with less strict assumptions than parametric IRT models. We walk through the key distinction between parametric and nonparametric models, introduce the…
Descriptors: Educational Assessment, Nonparametric Statistics, Item Response Theory, Scaling
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Hancock, Gregory R.; An, Ji – Educational Measurement: Issues and Practice, 2018
In this ITEMS module, we frame the topic of scale reliability within a "confirmatory factor analysis" and "structural equation modeling" (SEM) context and address some of the limitations of Cronbach's a. This modeling approach has two major advantages: (1) it allows researchers to make explicit the relation between their items…
Descriptors: Reliability, Structural Equation Models, Factor Analysis, Correlation
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Luecht, Richard; Ackerman, Terry A. – Educational Measurement: Issues and Practice, 2018
Simulation studies are extremely common in the item response theory (IRT) research literature. This article presents a didactic discussion of "truth" and "error" in IRT-based simulation studies. We ultimately recommend that future research focus less on the simple recovery of parameters from a convenient generating IRT model,…
Descriptors: Item Response Theory, Simulation, Ethics, Error of Measurement
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Camilli, Gregory; Kim, Sunhee – Educational Measurement: Issues and Practice, 2018
The trend in mathematics achievement from preschool to kindergarten is studied with a longitudinal growth item response theory model. The three measurement occasions included the spring of preschool and the spring and fall of kindergarten. The growth trend was nonlinear, with a steep drop between spring of preschool and fall of kindergarten. The…
Descriptors: Longitudinal Studies, Mathematics Education, Early Childhood Education, Mathematics Achievement
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Rubright, Jonathan D. – Educational Measurement: Issues and Practice, 2018
Performance assessments, scenario-based tasks, and other groups of items carry a risk of violating the local item independence assumption made by unidimensional item response theory (IRT) models. Previous studies have identified negative impacts of ignoring such violations, most notably inflated reliability estimates. Still, the influence of this…
Descriptors: Performance Based Assessment, Item Response Theory, Models, Test Reliability
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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
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Wind, Stefanie A.; Schumacker, Randall E. – Educational Measurement: Issues and Practice, 2017
The term measurement disturbance has been used to describe systematic conditions that affect a measurement process, resulting in a compromised interpretation of person or item estimates. Measurement disturbances have been discussed in relation to systematic response patterns associated with items and persons, such as start-up, plodding, boredom,…
Descriptors: Measurement, Testing Problems, Writing Tests, Performance Based Assessment
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