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Barry, Carol L.; Jones, Andrew T.; Ibáñez, Beatriz; Grambau, Marni; Buyske, Jo – Educational Measurement: Issues and Practice, 2022
In response to the COVID-19 pandemic, the American Board of Surgery (ABS) shifted from in-person to remote administrations of the oral certifying exam (CE). Although the overall exam architecture remains the same, there are a number of differences in administration and staffing costs, exam content, security concerns, and the tools used to give the…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Verbal Tests
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Lottridge, Sue; Burkhardt, Amy; Boyer, Michelle – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Sue Lottridge, Amy Burkhardt, and Dr. Michelle Boyer provide an overview of automated scoring. Automated scoring is the use of computer algorithms to score unconstrained open-ended test items by mimicking human scoring. The use of automated scoring is increasing in educational assessment programs because it allows…
Descriptors: Computer Assisted Testing, Scoring, Automation, Educational Assessment
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Levy, Roy – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Roy Levy describes Bayesian approaches to psychometric modeling. He discusses how Bayesian inference is a mechanism for reasoning in a probability-modeling framework and is well-suited to core problems in educational measurement: reasoning from student performances on an assessment to make inferences about their…
Descriptors: Bayesian Statistics, Psychometrics, Item Response Theory, Statistical Inference
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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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Feinberg, Richard A.; Rubright, Jonathan D. – Educational Measurement: Issues and Practice, 2016
Simulation studies are fundamental to psychometric discourse and play a crucial role in operational and academic research. Yet, resources for psychometricians interested in conducting simulations are scarce. This Instructional Topics in Educational Measurement Series (ITEMS) module is meant to address this deficiency by providing a comprehensive…
Descriptors: Simulation, Psychometrics, Vocabulary, Research Design
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Embretson, Susan E. – Educational Measurement: Issues and Practice, 2016
Examinees' thinking processes have become an increasingly important concern in testing. The responses processes aspect is a major component of validity, and contemporary tests increasingly involve specifications about the cognitive complexity of examinees' response processes. Yet, empirical research findings on examinees' cognitive processes are…
Descriptors: Testing, Cognitive Processes, Test Construction, Test Items
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Templin, Jonathan; Hoffman, Lesa – Educational Measurement: Issues and Practice, 2013
Diagnostic classification models (aka cognitive or skills diagnosis models) have shown great promise for evaluating mastery on a multidimensional profile of skills as assessed through examinee responses, but continued development and application of these models has been hindered by a lack of readily available software. In this article we…
Descriptors: Classification, Models, Language Tests, English (Second Language)
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Sireci, Stephen G.; Forte, Ellen – Educational Measurement: Issues and Practice, 2012
Current educational policies rely on educational assessments. However, the technical aspects of assessments are often unknown to policy makers, which is dangerous because sound assessment policy requires knowledge of the strengths and limitations of educational tests. In this article, we discuss the importance of informing policy makers of…
Descriptors: Educational Assessment, Psychometrics, Educational Policy, Educational Testing
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Zenisky, April L.; Hambleton, Ronald K. – Educational Measurement: Issues and Practice, 2012
Test scores matter these days. Test-takers want to understand how they performed, and test score reports, particularly those for individual examinees, are the vehicles by which most people get the bulk of this information. Historically, score reports have not always met the examinees' information or usability needs, but this is clearly changing…
Descriptors: Scores, Psychometrics, Test Results, Usability
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Sinharay, Sandip; Dorans, Neil J.; Liang, Longjuan – Educational Measurement: Issues and Practice, 2011
Over the past few decades, those who take tests in the United States have exhibited increasing diversity with respect to native language. Standard psychometric procedures for ensuring item and test fairness that have existed for some time were developed when test-taking groups were predominantly native English speakers. A better understanding of…
Descriptors: Test Bias, Testing Programs, Psychometrics, Language Proficiency
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Kolen, Michael J.; Lee, Won-Chan – Educational Measurement: Issues and Practice, 2011
This paper illustrates that the psychometric properties of scores and scales that are used with mixed-format educational tests can impact the use and interpretation of the scores that are reported to examinees. Psychometric properties that include reliability and conditional standard errors of measurement are considered in this paper. The focus is…
Descriptors: Test Use, Test Format, Error of Measurement, Raw Scores
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Sinharay, Sandip; Puhan, Gautam; Haberman, Shelby J. – Educational Measurement: Issues and Practice, 2011
The purpose of this ITEMS module is to provide an introduction to subscores. First, examples of subscores from an operational test are provided. Then, a review of methods that can be used to examine if subscores have adequate psychometric quality is provided. It is demonstrated, using results from operational and simulated data, that subscores…
Descriptors: Scores, Psychometrics, Tests, Data
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Polikoff, Morgan S. – Educational Measurement: Issues and Practice, 2010
Standards-based reform, as codified by the No Child Left Behind Act, relies on the ability of assessments to accurately reflect the learning that takes place in U.S. classrooms. However, this property of assessments--their instructional sensitivity--is rarely, if ever, investigated by test developers, states, or researchers. In this paper, the…
Descriptors: Federal Legislation, Psychometrics, Accountability, Teaching Methods
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Raymond, Mark R.; Neustel, Sandra; Anderson, Dan – Educational Measurement: Issues and Practice, 2009
Examinees who take high-stakes assessments are usually given an opportunity to repeat the test if they are unsuccessful on their initial attempt. To prevent examinees from obtaining unfair score increases by memorizing the content of specific test items, testing agencies usually assign a different test form to repeat examinees. The use of multiple…
Descriptors: Test Results, Test Items, Testing, Aptitude Tests
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