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Showing 1 to 15 of 57 results Save | Export
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George, Ann Cathrice; Bley, Sandra; Pellegrino, James – Educational Measurement: Issues and Practice, 2019
We describe an approach to characterizing and diagnosing complex professional competencies (CPCs) for the field of Intrapreneurship, i.e. activities of an entrepreneurial nature engaged by employees within their existing organizations. Our approach draws upon prior conceptual, empirical, and analytical efforts by researchers in Germany. Results…
Descriptors: Competence, Entrepreneurship, Employees, Apprenticeships
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Bradshaw, Laine; Levy, Roy – Educational Measurement: Issues and Practice, 2019
Although much research has been conducted on the psychometric properties of cognitive diagnostic models, they are only recently being used in operational settings to provide results to examinees and other stakeholders. Using this newer class of models in practice comes with a fresh challenge for diagnostic assessment developers: effectively…
Descriptors: Data Interpretation, Probability, Classification, Diagnostic Tests
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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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Ma, Wenchao; de la Torre, Jimmy – Educational Measurement: Issues and Practice, 2019
In this ITEMS module, we introduce the generalized deterministic inputs, noisy "and" gate (G-DINA) model, which is a general framework for specifying, estimating, and evaluating a wide variety of cognitive diagnosis models. The module contains a nontechnical introduction to diagnostic measurement, an introductory overview of the G-DINA…
Descriptors: Models, Classification, Measurement, Identification
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Carragher, Natacha; Templin, Jonathan; Jones, Phillip; Shulruf, Boaz; Velan, Gary – Educational Measurement: Issues and Practice, 2019
In this ITEMS module, we provide a didactic overview of the specification, estimation, evaluation, and interpretation steps for diagnostic measurement/classification models (DCMs), which are a promising psychometric modeling approach. These models can provide detailed skill- or attribute-specific feedback to respondents along multiple latent…
Descriptors: Measurement, Classification, Models, Check Lists
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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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Lewis, Charlie; Chajewski, Michael; Rupp, André A. – Educational Measurement: Issues and Practice, 2018
In this ITEMS module, we provide a two-part introduction to the topic of reliability from the perspective of "classical test theory" (CTT). In the first part, which is directed primarily at beginning learners, we review and build on the content presented in the original didactic ITEMS article by Traub and Rowley (1991). Specifically, we…
Descriptors: Test Reliability, Test Theory, Computation, Data Collection
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Gotch, Chad M.; Roduta Roberts, Mary – Educational Measurement: Issues and Practice, 2018
As the primary interface between test developers and multiple educational stakeholders, score reports are a critical component to the success (or failure) of any assessment program. The purpose of this review is to document recent research on individual-level score reporting to advance the research and practice of score reporting. We conducted a…
Descriptors: Scores, Models, Correlation, Stakeholders
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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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Liu, Ou Lydia – Educational Measurement: Issues and Practice, 2017
Student learning outcomes assessment has been increasingly used in U.S. higher education institutions over the last 10 years, partly fueled by the recommendation from the Spellings Commission that institutions need to demonstrate more direct evidence of student learning. To respond to the Commission's call, various accountability initiatives have…
Descriptors: College Outcomes Assessment, Accountability, Higher Education, Educational Improvement
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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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