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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

Showing 1 to 15 of 149 results
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Sinharay, Sandip; Wan, Ping; Choi, Seung W.; Kim, Dong-In – Journal of Educational Measurement, 2015
With an increase in the number of online tests, the number of interruptions during testing due to unexpected technical issues seems to be on the rise. For example, interruptions occurred during several recent state tests. When interruptions occur, it is important to determine the extent of their impact on the examinees' scores. Researchers…
Descriptors: Computer Assisted Testing, Testing Problems, Scores, Statistical Analysis
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Yao, Lihua – Journal of Educational Measurement, 2014
The intent of this research was to find an item selection procedure in the multidimensional computer adaptive testing (CAT) framework that yielded higher precision for both the domain and composite abilities, had a higher usage of the item pool, and controlled the exposure rate. Five multidimensional CAT item selection procedures (minimum angle;…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Selection
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Hou, Likun; de la Torre, Jimmy; Nandakumar, Ratna – Journal of Educational Measurement, 2014
Analyzing examinees' responses using cognitive diagnostic models (CDMs) has the advantage of providing diagnostic information. To ensure the validity of the results from these models, differential item functioning (DIF) in CDMs needs to be investigated. In this article, the Wald test is proposed to examine DIF in the context of CDMs. This…
Descriptors: Test Bias, Models, Simulation, Error Patterns
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Sinharay, Sandip – Journal of Educational Measurement, 2014
Brennan noted that users of test scores often want (indeed, demand) that subscores be reported, along with total test scores, for diagnostic purposes. Haberman suggested a method based on classical test theory (CTT) to determine if subscores have added value over the total score. One way to interpret the method is that a subscore has added value…
Descriptors: Scores, Test Theory, Classification, Cutting Scores
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Tendeiro, Jorge N.; Meijer, Rob R. – Journal of Educational Measurement, 2014
In recent guidelines for fair educational testing it is advised to check the validity of individual test scores through the use of person-fit statistics. For practitioners it is unclear on the basis of the existing literature which statistic to use. An overview of relatively simple existing nonparametric approaches to identify atypical response…
Descriptors: Educational Assessment, Test Validity, Scores, Statistical Analysis
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Sinharay, Sandip; Wan, Ping; Whitaker, Mike; Kim, Dong-In; Zhang, Litong; Choi, Seung W. – Journal of Educational Measurement, 2014
With an increase in the number of online tests, interruptions during testing due to unexpected technical issues seem unavoidable. For example, interruptions occurred during several recent state tests. When interruptions occur, it is important to determine the extent of their impact on the examinees' scores. There is a lack of research on this…
Descriptors: Computer Assisted Testing, Testing Problems, Scores, Regression (Statistics)
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van der Palm, Daniël W.; van der Ark, L. Andries; Sijtsma, Klaas – Journal of Educational Measurement, 2014
The latent class reliability coefficient (LCRC) is improved by using the divisive latent class model instead of the unrestricted latent class model. This results in the divisive latent class reliability coefficient (DLCRC), which unlike LCRC avoids making subjective decisions about the best solution and thus avoids judgment error. A computational…
Descriptors: Test Reliability, Scores, Computation, Simulation
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Kim, Seonghoon – Journal of Educational Measurement, 2013
With known item response theory (IRT) item parameters, Lord and Wingersky provided a recursive algorithm for computing the conditional frequency distribution of number-correct test scores, given proficiency. This article presents a generalized algorithm for computing the conditional distribution of summed test scores involving real-number item…
Descriptors: Item Response Theory, Scores, Computation, Mathematics
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Debeer, Dries; Janssen, Rianne – Journal of Educational Measurement, 2013
Changing the order of items between alternate test forms to prevent copying and to enhance test security is a common practice in achievement testing. However, these changes in item order may affect item and test characteristics. Several procedures have been proposed for studying these item-order effects. The present study explores the use of…
Descriptors: Item Response Theory, Test Items, Test Format, Models
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Borsboom, Denny; Markus, Keith A. – Journal of Educational Measurement, 2013
According to Kane (this issue), "the validity of a proposed interpretation or use depends on how well the evidence supports" the claims being made. Because truth and evidence are distinct, this means that the validity of a test score interpretation could be high even though the interpretation is false. As an illustration, we discuss the case of…
Descriptors: Evidence, Ethics, Validity, Theories
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Brennan, Robert L. – Journal of Educational Measurement, 2013
Kane's paper "Validating the Interpretations and Uses of Test Scores" is the most complete and clearest discussion yet available of the argument-based approach to validation. At its most basic level, validation as formulated by Kane is fundamentally a simply-stated two-step enterprise: (1) specify the claims inherent in a particular interpretation…
Descriptors: Validity, Test Interpretation, Test Use, Scores
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Sireci, Stephen G. – Journal of Educational Measurement, 2013
Kane (this issue) presents a comprehensive review of validity theory and reminds us that the focus of validation is on test score interpretations and use. In reacting to his article, I support the argument-based approach to validity and all of the major points regarding validation made by Dr. Kane. In addition, I call for a simpler, three-step…
Descriptors: Validity, Theories, Test Interpretation, Test Use
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Kane, Michael T. – Journal of Educational Measurement, 2013
To validate an interpretation or use of test scores is to evaluate the plausibility of the claims based on the scores. An argument-based approach to validation suggests that the claims based on the test scores be outlined as an argument that specifies the inferences and supporting assumptions needed to get from test responses to score-based…
Descriptors: Test Interpretation, Validity, Scores, Test Use
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Kane, Michael T. – Journal of Educational Measurement, 2013
This response to the comments contains three main sections, each addressing a subset of the comments. In the first section, I will respond to the comments by Brennan, Haertel, and Moss. All of these comments suggest ways in which my presentation could be extended or improved; I generally agree with their suggestions, so my response to their…
Descriptors: Validity, Test Interpretation, Test Use, Scores
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Moss, Pamela A. – Journal of Educational Measurement, 2013
Studies of data use illuminate ways in which education professionals have used test scores and other evidence relevant to students' learning--in action in their own contexts of work--to make decisions about their practice. These studies raise instructive challenges for a validity theory that focuses on intended interpretations and uses of test…
Descriptors: Validity, Test Use, Test Interpretation, Scores
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