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Vispoel, Walter P.; Lee, Hyeryung; Xu, Guanlan; Hong, Hyeri – Journal of Experimental Education, 2023
Although generalizability theory (GT) designs have traditionally been analyzed within an ANOVA framework, identical results can be obtained with structural equation models (SEMs) but extended to represent multiple sources of both systematic and measurement error variance, include estimation methods less likely to produce negative variance…
Descriptors: Generalizability Theory, Structural Equation Models, Programming Languages, Scores
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Almehrizi, Rashid S. – Journal of Educational Measurement, 2021
Estimates of various variance components, universe score variance, measurement error variances, and generalizability coefficients, like all statistics, are subject to sampling variability, particularly in small samples. Such variability is quantified traditionally through estimated standard errors and/or confidence intervals. The paper derived new…
Descriptors: Error of Measurement, Statistics, Design, Generalizability Theory
Custer, Michael; Kim, Jongpil – Online Submission, 2023
This study utilizes an analysis of diminishing returns to examine the relationship between sample size and item parameter estimation precision when utilizing the Masters' Partial Credit Model for polytomous items. Item data from the standardization of the Batelle Developmental Inventory, 3rd Edition were used. Each item was scored with a…
Descriptors: Sample Size, Item Response Theory, Test Items, Computation
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Teker, Gülsen Tasdelen; Güler, Nese – International Journal of Assessment Tools in Education, 2019
One of the important theories in education and psychology is Generalizability (G) Theory and various properties distinguish it from the other measurement theories. To better understand methodological trends of G theory, a thematic content analysis was conducted. This study analyzes the studies using generalizability theory in the field of…
Descriptors: Generalizability Theory, Content Analysis, Foreign Countries, Education
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McCaffrey, Daniel F.; Oliveri, Maria Elena; Holtzman, Steven – ETS Research Report Series, 2018
Scores from noncognitive measures are increasingly valued for their utility in helping to inform postsecondary admissions decisions. However, their use has presented challenges because of faking, response biases, or subjectivity, which standardized third-party evaluations (TPEs) can help minimize. Analysts and researchers using TPEs, however, need…
Descriptors: Generalizability Theory, Scores, College Admission, Admission Criteria
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Irby, Sarah M.; Floyd, Randy G. – Psychology in the Schools, 2017
This study examined the exchangeability of total scores (i.e., intelligent quotients [IQs]) from three brief intelligence tests. Tests were administered to 36 children with intellectual giftedness, scored live by one set of primary examiners and later scored by a secondary examiner. For each student, six IQs were calculated, and all 216 values…
Descriptors: Intelligence Tests, Gifted, Error of Measurement, Scores
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Martínez, José Felipe; Kloser, Matt; Srinivasan, Jayashri; Stecher, Brian; Edelman, Amanda – Educational and Psychological Measurement, 2022
Adoption of new instructional standards in science demands high-quality information about classroom practice. Teacher portfolios can be used to assess instructional practice and support teacher self-reflection anchored in authentic evidence from classrooms. This study investigated a new type of electronic portfolio tool that allows efficient…
Descriptors: Science Instruction, Academic Standards, Instructional Innovation, Electronic Publishing
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DeMars, Christine – Applied Measurement in Education, 2015
In generalizability theory studies in large-scale testing contexts, sometimes a facet is very sparsely crossed with the object of measurement. For example, when assessments are scored by human raters, it may not be practical to have every rater score all students. Sometimes the scoring is systematically designed such that the raters are…
Descriptors: Educational Assessment, Measurement, Data, Generalizability Theory
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Lin, Chih-Kai – Language Testing, 2017
Sparse-rated data are common in operational performance-based language tests, as an inevitable result of assigning examinee responses to a fraction of available raters. The current study investigates the precision of two generalizability-theory methods (i.e., the rating method and the subdividing method) specifically designed to accommodate the…
Descriptors: Data Analysis, Language Tests, Generalizability Theory, Accuracy
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Keller-Margulis, Milena A.; Mercer, Sterett H.; Thomas, Erin L. – School Psychology Quarterly, 2016
The purpose of this study was to examine the reliability of written expression curriculum-based measurement (WE-CBM) in the context of universal screening from a generalizability theory framework. Students in second through fifth grade (n = 145) participated in the study. The sample included 54% female students, 49% White students, 23% African…
Descriptors: Generalizability Theory, Reliability, Written Language, Curriculum Based Assessment
Grochowalski, Joseph H. – ProQuest LLC, 2015
Component Universe Score Profile analysis (CUSP) is introduced in this paper as a psychometric alternative to multivariate profile analysis. The theoretical foundations of CUSP analysis are reviewed, which include multivariate generalizability theory and constrained principal components analysis. Because CUSP is a combination of generalizability…
Descriptors: Computation, Psychometrics, Profiles, Scores
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Han, Chao – Language Assessment Quarterly, 2016
As a property of test scores, reliability/dependability constitutes an important psychometric consideration, and it underpins the validity of measurement results. A review of interpreter certification performance tests (ICPTs) reveals that (a) although reliability/dependability checking has been recognized as an important concern, its theoretical…
Descriptors: Foreign Countries, Scores, English, Chinese
Haertel, Edward H. – Educational Testing Service, 2013
Policymakers and school administrators have embraced value-added models of teacher effectiveness as tools for educational improvement. Teacher value-added estimates may be viewed as complicated scores of a certain kind. This suggests using a test validation model to examine their reliability and validity. Validation begins with an interpretive…
Descriptors: Reliability, Validity, Inferences, Teacher Effectiveness
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Wei, Xin; Haertel, Edward – Educational Measurement: Issues and Practice, 2011
Contemporary educational accountability systems, including state-level systems prescribed under No Child Left Behind as well as those envisioned under the "Race to the Top" comprehensive assessment competition, rely on school-level summaries of student test scores. The precision of these score summaries is almost always evaluated using models that…
Descriptors: Scores, Reliability, Computation, Generalizability Theory
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Taylor, Melinda Ann; Pastor, Dena A. – Applied Measurement in Education, 2013
Although federal regulations require testing students with severe cognitive disabilities, there is little guidance regarding how technical quality should be established. It is known that challenges exist with documentation of the reliability of scores for alternate assessments. Typical measures of reliability do little in modeling multiple sources…
Descriptors: Generalizability Theory, Alternative Assessment, Test Reliability, Scores
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