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Gyamfi, Abraham; Acquaye, Rosemary – Acta Educationis Generalis, 2023
Introduction: Item response theory (IRT) has received much attention in validation of assessment instrument because it allows the estimation of students' ability from any set of the items. Item response theory allows the difficulty and discrimination levels of each item on the test to be estimated. In the framework of IRT, item characteristics are…
Descriptors: Item Response Theory, Models, Test Items, Difficulty Level
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Fuchimoto, Kazuma; Ishii, Takatoshi; Ueno, Maomi – IEEE Transactions on Learning Technologies, 2022
Educational assessments often require uniform test forms, for which each test form has equivalent measurement accuracy but with a different set of items. For uniform test assembly, an important issue is the increase of the number of assembled uniform tests. Although many automatic uniform test assembly methods exist, the maximum clique algorithm…
Descriptors: Simulation, Efficiency, Test Items, Educational Assessment
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Finch, Holmes – Practical Assessment, Research & Evaluation, 2022
Researchers in many disciplines work with ranking data. This data type is unique in that it is often deterministic in nature (the ranks of items "k"-1 determine the rank of item "k"), and the difference in a pair of rank scores separated by "k" units is equivalent regardless of the actual values of the two ranks in…
Descriptors: Data Analysis, Statistical Inference, Models, College Faculty
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Pelánek, Radek; Rihák, Ji?rí – International Educational Data Mining Society, 2016
In online educational systems we can easily collect and analyze extensive data about student learning. Current practice, however, focuses only on some aspects of these data, particularly on correctness of students answers. When a student answers incorrectly, the submitted wrong answer can give us valuable information. We provide an overview of…
Descriptors: Foreign Countries, Online Systems, Geography, Anatomy
National Assessment Governing Board, 2017
Since 1973, the National Assessment of Educational Progress (NAEP) has gathered information about student achievement in mathematics. Results of these periodic assessments, produced in print and web-based formats, provide valuable information to a wide variety of audiences. They inform citizens about the nature of students' comprehension of the…
Descriptors: Mathematics Tests, Mathematics Achievement, Mathematics Instruction, Grade 4
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Maydeu-Olivares, Alberto – Measurement: Interdisciplinary Research and Perspectives, 2013
In this rejoinder, Maydeu-Olivares states that, in item response theory (IRT) measurement applications, the application of goodness-of-fit (GOF) methods informs researchers of the discrepancy between the model and the data being fitted (the room for improvement). By routinely reporting the GOF of IRT models, together with the substantive results…
Descriptors: Goodness of Fit, Models, Evaluation Methods, Item Response Theory
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Soh, Kay Cheng – Higher Education Review, 2012
Three university ranking systems in vogue have been shown in the previous issue of "Higher Education Review" to be capable of modifications to make them more parsimonious by using only about half of the number of predictors currently in use. This makes some of the predictors "redundant" as they contributed little to the overall ranking. It is…
Descriptors: Higher Education, Predictor Variables, Profiles, Test Items
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Little, Mary E. – Educational Forum, 2012
The purpose of this article is to define and clarify the process of instructional problem-solving using assessment data within action research (AR) and Response to Intervention (RtI). Similarities between AR and RtI are defined and compared. Lastly, specific resources and examples of the instructional problem-solving process of AR within…
Descriptors: Intervention, Action Research, Problem Solving, Data Analysis
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Wang, Wen-Chung; Huang, Sheng-Yun – Educational and Psychological Measurement, 2011
The one-parameter logistic model with ability-based guessing (1PL-AG) has been recently developed to account for effect of ability on guessing behavior in multiple-choice items. In this study, the authors developed algorithms for computerized classification testing under the 1PL-AG and conducted a series of simulations to evaluate their…
Descriptors: Computer Assisted Testing, Classification, Item Analysis, Probability
Foy, Pierre, Ed.; Arora, Alka, Ed.; Stanco, Gabrielle M., Ed. – International Association for the Evaluation of Educational Achievement, 2013
This supplement describes national adaptations made to the international version of the TIMSS 2011 background questionnaires. This information provides users with a guide to evaluate the availability of internationally comparable data for use in secondary analyses involving the TIMSS 2011 background variables. Background questionnaire adaptations…
Descriptors: Questionnaires, Technology Transfer, Adoption (Ideas), Media Adaptation
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Marsh, Herbert W.; Wen, Zhonglin; Hau, Kit-Tai – Psychological Methods, 2004
Interactions between (multiple indicator) latent variables are rarely used because of implementation complexity and competing strategies. Based on 4 simulation studies, the traditional constrained approach performed more poorly than did 3 new approaches-unconstrained, generalized appended product indicator, and quasi-maximum-likelihood (QML). The…
Descriptors: Structural Equation Models, Item Analysis, Error Patterns, Computation
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Vartiainen, Pirkko – Higher Education in Europe, 2005
This article analyses institutional evaluations of higher education in England and Finland through the concept of legitimacy. The focus of the article is on the institutional tendencies of legitimacy. This author's hypothesis is that evaluation is legitimate when the evaluation process is of a good quality and accepted both morally and in practice…
Descriptors: Institutional Evaluation, Higher Education, Foreign Countries, Comparative Analysis
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Pommerich, Mary – Journal of Technology, Learning, and Assessment, 2004
As testing moves from paper-and-pencil administration toward computerized administration, how to present tests on a computer screen becomes an important concern. Of particular concern are tests that contain necessary information that cannot be displayed on screen all at once for an item. Ideally, the method of presentation should not interfere…
Descriptors: Test Content, Computer Assisted Testing, Multiple Choice Tests, Computer Interfaces
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Cameron, Brian D. – portal: Libraries and the Academy, 2005
Librarians rely on the Institute for Scientific Information's journal impact factor as a tool for selecting periodicals, primarily in scientific disciplines. A current trend is to use this data as a means for evaluating the performance of departments, institutions, and even researchers in academic institutions--a process that is now being tied to…
Descriptors: Trend Analysis, Bibliometrics, Item Analysis, Construct Validity
Thang, Siew Ming – Online Submission, 2005
This paper compares the approaches to studying of Malaysian distance learners and on-campus learners to find out to what extent the distance learning programme of a public university in Malaysia is effective in meeting the learning needs of its distance learners. The influences of the differences in modes (distance learners vs. on-campus learners)…
Descriptors: Foreign Countries, Business Administration, Social Sciences, Item Analysis