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Showing 1 to 15 of 27 results Save | Export
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Owen Henkel; Hannah Horne-Robinson; Libby Hills; Bill Roberts; Josh McGrane – International Journal of Artificial Intelligence in Education, 2025
This paper reports on a set of three recent experiments utilizing large-scale speech models to assess the oral reading fluency (ORF) of students in Ghana. While ORF is a well-established measure of foundational literacy, assessing it typically requires one-on-one sessions between a student and a trained rater, a process that is time-consuming and…
Descriptors: Foreign Countries, Oral Reading, Reading Fluency, Literacy
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Paul A. Jewsbury; Matthew S. Johnson – Large-scale Assessments in Education, 2025
The standard methodology for many large-scale assessments in education involves regressing latent variables on numerous contextual variables to estimate proficiency distributions. To reduce the number of contextual variables used in the regression and improve estimation, we propose and evaluate principal component analysis on the covariance matrix…
Descriptors: Factor Analysis, Matrices, Regression (Statistics), Educational Assessment
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Suto, Irenka; Williamson, Joanna; Ireland, Jo; Macinska, Sylwia – Research Papers in Education, 2023
Errors that occasionally manifest in examination papers and other educational assessment instruments can threaten reliability and validity. For example, a multiple choice question could have two correct response options, or a geography question containing an inaccurate map could be unanswerable. In this paper we explore this oft-neglected element…
Descriptors: Error Patterns, International Assessment, Test Construction, Failure
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Karakaya, Ferhat; Yilmaz, Mehmet – Journal of Pedagogical Research, 2022
There have been significant advances in science and technology in recent years. Therefore, all countries need qualified people who can take on the challenges of life today and compete in the international arena. This has led countries to adopt new approaches to education. STEM education is one of the latest examples of those approaches. This study…
Descriptors: Science Teachers, Teacher Attitudes, Evaluation Methods, STEM Education
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Kalinowski, Steven T. – Educational and Psychological Measurement, 2019
Item response theory (IRT) is a statistical paradigm for developing educational tests and assessing students. IRT, however, currently lacks an established graphical method for examining model fit for the three-parameter logistic model, the most flexible and popular IRT model in educational testing. A method is presented here to do this. The graph,…
Descriptors: Item Response Theory, Educational Assessment, Goodness of Fit, Probability
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Noble, Tracy; Rosebery, Ann; Suarez, Catherine; Warren, Beth; O'Connor, Mary Catherine – Applied Measurement in Education, 2014
English language learners (ELLs) and their teachers, schools, and communities face increasingly high-stakes consequences due to test score gaps between ELLs and non-ELLs. It is essential that the field of educational assessment continue to investigate the meaning of these test score gaps. This article discusses the findings of an exploratory study…
Descriptors: English Language Learners, Evidence, Educational Assessment, Achievement Gap
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Gardner, John – Oxford Review of Education, 2013
Evidence from recent research suggests that in the UK the public perception of errors in national examinations is that they are simply mistakes; events that are preventable. This perception predominates over the more sophisticated technical view that errors arise from many sources and create an inevitable variability in assessment outcomes. The…
Descriptors: Educational Assessment, Public Opinion, Error of Measurement, Foreign Countries
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Shortridge, Ashton; Goldsberry, Kirk; Weessies, Kathleen – Journal of Geography, 2011
This article characterizes and measures errors in the 2010 National Research Council (NRC) assessment of research-doctorate programs in geography. This article provides a conceptual model for data-based sources of uncertainty and reports on a quantitative assessment of NRC research data uncertainty for a particular geography doctoral program.…
Descriptors: Geography, Doctoral Programs, Graduate Study, Educational Assessment
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Wyse, Adam E.; Mapuranga, Raymond – International Journal of Testing, 2009
Differential item functioning (DIF) analysis is a statistical technique used for ensuring the equity and fairness of educational assessments. This study formulates a new DIF analysis method using the information similarity index (ISI). ISI compares item information functions when data fits the Rasch model. Through simulations and an international…
Descriptors: Test Bias, Evaluation Methods, Test Items, Educational Assessment
Harris, Douglas N. – Policy Analysis for California Education, PACE (NJ3), 2010
In this policy brief, the author explores the problems with attainment measures when it comes to evaluating performance at the school level, and explores the best uses of value-added measures. These value-added measures, the author writes, are useful for sorting out-of-school influences from school influences or from teacher performance, giving…
Descriptors: Principals, Observation, Teacher Evaluation, Measurement Techniques
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Matthews, Julia – Mathematics in School, 1980
This is a preliminary report on research into computational errors made by six- and seven-year-olds. (Author/MK)
Descriptors: Addition, Comprehension, Computation, Educational Assessment
Smith, Nick L. – 1977
With the theory that social and personal values influence the conduct of evaluation studies in education, the author discusses the impact of two major sources of such values--contextual factors, including political, social and organizational influences; and the terminology, models, and personal values of evaluators. Alternative purposes for an…
Descriptors: Bias, Educational Assessment, Error Patterns, Evaluation
Hawaii State Dept. of Education, Honolulu. Office of Instructional Services. – 1985
This report was designed to provide information on the effectiveness of the high school mathematics program in Hawaii, including identification of deficiency areas. The Stanford Achievement Test of Academic Skills (TASK) Level 1 was administered to 10,154 tenth-grade students in October 1983. In general, the students did not perform as well as the…
Descriptors: Academic Achievement, Data Analysis, Educational Assessment, Error Patterns
Hawaii State Dept. of Education, Honolulu. Office of Instructional Services. – 1985
This report was designed to provide information on the effectiveness of the mathematics instructional program in grade 2 in Hawaii, including identification of deficiency areas. The Stanford Achievement Test, Primary Level II, was administered in May 1984 to 12,106 students in grade 2. In general, these students performed better than the national…
Descriptors: Academic Achievement, Data Analysis, Educational Assessment, Elementary School Mathematics
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Engelhard, George, Jr. – Journal of Educational Measurement, 1994
Rater errors (rater severity, halo effect, central tendency, and restriction of range) are described, and criteria are presented for evaluating rating quality based on a many-faceted Rasch (FACETS) model. Ratings of 264 compositions from the Eighth Grade Writing Test in Georgia by 15 raters illustrate the discussion. (SLD)
Descriptors: Criteria, Educational Assessment, Elementary Education, Elementary School Students
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