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Gonzales, Joseph E. – Measurement: Interdisciplinary Research and Perspectives, 2021
JMP® Pro has introduced a new structural equation modeling (SEM) platform to its suite of multivariate methods of analysis. Utilizing their graphical user interface, JMP Pro has created a SEM platform that is easily navigable for both experienced and novice SEM users. As a new platform, JMP Pro does not have the capacity to implement certain…
Descriptors: Structural Equation Models, Multivariate Analysis, Usability, Factor Analysis
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Paek, Insu; Liang, Xinya; Lin, Zhongtian – Measurement: Interdisciplinary Research and Perspectives, 2021
The property of item parameter invariance in item response theory (IRT) plays a pivotal role in the applications of IRT such as test equating. The scope of parameter invariance when using estimates from finite biased samples in the applications of IRT does not appear to be clearly documented in the IRT literature. This article provides information…
Descriptors: Item Response Theory, Computation, Test Items, Bias
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Sherron, Todd; Cherrstrom, Catherine A.; Boden, Carrie; Wilson, Lindsey – Measurement: Interdisciplinary Research and Perspectives, 2021
An increasing number of universities have implemented prior learning assessment (PLA), but little research has examined the non-course matching approach referred to as block credit PLA. Adult learners pursuing a college degree often bring professional competencies, knowledge, and skills to the classroom. PLA enables adult learners to earn college…
Descriptors: Prior Learning, Student Evaluation, Adult Students, College Credits
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Ranger, Jochen; Kuhn, Jörg-Tobias; Pohl, Steffi – Measurement: Interdisciplinary Research and Perspectives, 2021
The term speed-accuracy tradeoff is used when an increase in response speed comes at the expense of response accuracy. Although originally a concept from experimental psychology, the speed-accuracy tradeoff has been a topic in psychological assessment, too. In the first part of the manuscript, we discuss motivational factors that may be…
Descriptors: Item Response Theory, Reaction Time, Accuracy, Psychological Testing
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Raykov, Tenko; Marcoulides, George A.; Huber, Chuck – Measurement: Interdisciplinary Research and Perspectives, 2020
It is demonstrated that the popular three-parameter logistic model can lead to markedly inaccurate individual ability level estimates for mixture populations. A theoretically and empirically important setting is initially considered where (a) in one of two subpopulations (latent classes) the two-parameter logistic model holds for each item in a…
Descriptors: Item Response Theory, Models, Measurement Techniques, Item Analysis
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Wind, Stefanie A. – Measurement: Interdisciplinary Research and Perspectives, 2020
A major challenge in the widespread application of Mokken scale analysis (MSA) to educational performance assessments is the requirement of complete data, where every rater rates every student. In this study, simulated and real data are used to demonstrate a method by which researchers and practitioners can apply MSA to incomplete rating designs.…
Descriptors: Item Response Theory, Scaling, Nonparametric Statistics, Performance Based Assessment
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Hancock, Gregory R.; An, Ji – Measurement: Interdisciplinary Research and Perspectives, 2020
As an alternative to Cronbach's [alpha] for estimating scale reliability, McDonald's [omega] has attracted increased attention within the methodological community for its less stringent measurement assumptions. Notwithstanding, [omega] is still seldom used by practitioners, likely due to its unavailability in popular software packages (e.g., SPSS)…
Descriptors: Evaluation, Alternative Assessment, Reliability, Test Reliability
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Chung, Seungwon; Houts, Carrie – Measurement: Interdisciplinary Research and Perspectives, 2020
Advanced modeling of item response data through the item response theory (IRT) or item factor analysis frameworks is becoming increasingly popular. In the social and behavioral sciences, the underlying structure of tests/assessments is often multidimensional (i.e., more than 1 latent variable/construct is represented in the items). This review…
Descriptors: Item Response Theory, Evaluation Methods, Models, Factor Analysis
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Holmes, Lauren; Schumacker, Randall – Measurement: Interdisciplinary Research and Perspectives, 2020
Latent classes of effective and non-effective Algebra I teachers were established using measurements of teacher promoted engagement, teacher promoted understanding, and classroom management from the Measures of Effective Teaching Project (MET Project) database. Historically, robust measures of effective teaching exist in the literature; however,…
Descriptors: Algebra, Mathematics Teachers, Teacher Effectiveness, Databases
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Ma, Wenchao; Minchen, Nathan; de la Torre, Jimmy – Measurement: Interdisciplinary Research and Perspectives, 2020
Cognitive diagnosis models (CDMs) have gained increasing popularity recently because of their potential to provide diagnostic inferences that can inform learning and teaching. However, the development of cognitive diagnostic assessments (CDAs) is lagging behind the development of the associated psychometric models. At present, it is not clear…
Descriptors: Models, Cognitive Measurement, Clinical Diagnosis, Item Response Theory
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Kelter, Riko – Measurement: Interdisciplinary Research and Perspectives, 2020
Survival analysis is an important analytic method in the social and medical sciences. Also known under the name time-to-event analysis, this method provides parameter estimation and model fitting commonly conducted via maximum-likelihood. Bayesian survival analysis offers multiple advantages over the frequentist approach for measurement…
Descriptors: Bayesian Statistics, Maximum Likelihood Statistics, Programming Languages, Statistical Inference
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Ames, Allison J.; Leventhal, Brian C.; Ezike, Nnamdi C. – Measurement: Interdisciplinary Research and Perspectives, 2020
Data simulation and Monte Carlo simulation studies are important skills for researchers and practitioners of educational and psychological measurement, but there are few resources on the topic specific to item response theory. Even fewer resources exist on the statistical software techniques to implement simulation studies. This article presents…
Descriptors: Monte Carlo Methods, Item Response Theory, Simulation, Computer Software
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Sengül Avsar, Asiye – Measurement: Interdisciplinary Research and Perspectives, 2020
In order to reach valid and reliable test scores, various test theories have been developed, and one of them is nonparametric item response theory (NIRT). Mokken Models are the most widely known NIRT models which are useful for small samples and short tests. Mokken Package is useful for Mokken Scale Analysis. An important issue about validity is…
Descriptors: Response Style (Tests), Nonparametric Statistics, Item Response Theory, Test Validity
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Karadavut, Tugba; Cohen, Allan S.; Kim, Seock-Ho – Measurement: Interdisciplinary Research and Perspectives, 2020
Mixture Rasch (MixRasch) models conventionally assume normal distributions for latent ability. Previous research has shown that the assumption of normality is often unmet in educational and psychological measurement. When normality is assumed, asymmetry in the actual latent ability distribution has been shown to result in extraction of spurious…
Descriptors: Item Response Theory, Ability, Statistical Distributions, Sample Size
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Wang, Jue; Tanaka, Victoria T.; Engelhard, George, Jr.; Rabbitt, Matthew P. – Measurement: Interdisciplinary Research and Perspectives, 2020
In this study, we proposed a multilevel explanatory Rasch model for examining measurement invariance of international food-insecurity measures on the Food Insecurity Experience (FIE) Scale from different countries. The United Nations Food and Agriculture Organization developed the FIE Scale to quantitatively measure the severity of food…
Descriptors: Item Response Theory, Measures (Individuals), Food, Security (Psychology)
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