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Daniel McNeish; Melissa G. Wolf – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Despite the popularity of traditional fit index cutoffs like RMSEA [less than or equal to] 0.06 and CFI [greater than or equal to] 0.95, several studies have noted issues with overgeneralizing traditional cutoffs. Computational methods have been proposed to avoid overgeneralization by deriving cutoffs specifically tailored to the characteristics…
Descriptors: Structural Equation Models, Cutting Scores, Generalizability Theory, Error of Measurement
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Eser, Mehmet Taha; Aksu, Gökhan – International Journal of Curriculum and Instruction, 2022
The agreement between raters is examined within the scope of the concept of "inter-rater reliability". Although there are clear definitions of the concepts of agreement between raters and reliability between raters, there is no clear information about the conditions under which agreement and reliability level methods are appropriate to…
Descriptors: Generalizability Theory, Interrater Reliability, Evaluation Methods, Test Theory
Paul T. von Hippel; Brendan A. Schuetze – Annenberg Institute for School Reform at Brown University, 2025
Researchers across many fields have called for greater attention to heterogeneity of treatment effects--shifting focus from the average effect to variation in effects between different treatments, studies, or subgroups. True heterogeneity is important, but many reports of heterogeneity have proved to be false, non-replicable, or exaggerated. In…
Descriptors: Educational Research, Replication (Evaluation), Generalizability Theory, Inferences
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Brennan, Robert L.; Kim, Stella Y.; Lee, Won-Chan – Educational and Psychological Measurement, 2022
This article extends multivariate generalizability theory (MGT) to tests with different random-effects designs for each level of a fixed facet. There are numerous situations in which the design of a test and the resulting data structure are not definable by a single design. One example is mixed-format tests that are composed of multiple-choice and…
Descriptors: Multivariate Analysis, Generalizability Theory, Multiple Choice Tests, Test Construction
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Jiang, Zhehan; Shi, Dexin; Distefano, Christine – Educational and Psychological Measurement, 2021
The costs of an objective structured clinical examination (OSCE) are of concern to health profession educators globally. As OSCEs are usually designed under generalizability theory (G-theory) framework, this article proposes a machine-learning-based approach to optimize the costs, while maintaining the minimum required generalizability…
Descriptors: Artificial Intelligence, Generalizability Theory, Objective Tests, Foreign Countries
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Deniz, Kaan Zulfikar; Ilican, Emel – International Journal of Assessment Tools in Education, 2021
This study aims to compare the G and Phi coefficients as estimated by D studies for a measurement tool with the G and Phi coefficients obtained from real cases in which items of differing difficulty levels were added and also to determine the conditions under which the D studies estimated reliability coefficients closer to reality. The study group…
Descriptors: Generalizability Theory, Test Items, Difficulty Level, Test Reliability
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Jeffrey Shero; Jessica Logan – Society for Research on Educational Effectiveness, 2024
Background/Context: Previous research in educational assessment has consistently emphasized the importance of reliability as a cornerstone of test quality. Traditional measures of reliability, such as test-retest and split-half reliability, offer a broad view of how internally consistent a measure is but overlook the variability in this internal…
Descriptors: Educational Assessment, Special Education, Students with Disabilities, Learning Disabilities
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Huebner, Alan; Skar, Gustaf B. – Practical Assessment, Research & Evaluation, 2021
Writing assessments often consist of students responding to multiple prompts, which are judged by more than one rater. To establish the reliability of these assessments, there exist different methods to disentangle variation due to prompts and raters, including classical test theory, Many Facet Rasch Measurement (MFRM), and Generalizability Theory…
Descriptors: Error of Measurement, Test Theory, Generalizability Theory, Item Response Theory
Petscher, Y.; Pentimonti, J.; Stanley, C. – National Center on Improving Literacy, 2019
Validity is broadly defined as how well something measures what it's supposed to measure. The reliability and validity of scores from assessments are two concepts that are closely knit together and feed into each other.
Descriptors: Screening Tests, Scores, Test Validity, Test Reliability
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Atilgan, Hakan; Demir, Elif Kübra; Ogretmen, Tuncay; Basokcu, Tahsin Oguz – International Journal of Progressive Education, 2020
It has become a critical question what the reliability level would be when open-ended questions are used in large-scale selection tests. One of the aims of the present study is to determine what the reliability would be in the event that the answers given by test-takers are scored by experts when open-ended short answer questions are used in…
Descriptors: Foreign Countries, Secondary School Students, Test Items, Test Reliability
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Solomon, Benjamin G.; VanDerHeyden, Amanda M.; Solomon, Emily C.; Korzeniewski, Erika R.; Payne, Lexy L.; Campaña, Kayla V.; Dillon, Chasen R. – School Psychology, 2022
Math curriculum-based measurement (CBM) is an essential tool for multi-tiered systems of support decision making, but the reliability of math CBMs has received little research, particularly using more rigorous methods such as generalizability (G) theory. Math CBM is historically organized into two domains: mastery measures and general outcome…
Descriptors: Mathematics Tests, Mathematics Skills, Mathematics Achievement, Curriculum Based Assessment
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Merchant, Stefan; Rich, Jessica; Klinger, Don A. – Canadian Journal of Educational Administration and Policy, 2022
Both school and district administrators use the results of standardized, large-scale tests to inform decisions about the need for, or success of, educational programs and interventions. However, test results at the school level are subject to random fluctuations due to changes in cohort, test items, and other factors outside of the school's…
Descriptors: Standardized Tests, Foreign Countries, Generalizability Theory, Scores
Patrick, Helen; French, Brian F.; Mantzicopoulos, Panayota – Journal of Psychoeducational Assessment, 2020
We evaluated the score stability of the Framework for Teaching (FFT), a prominent observation instrument used for teacher evaluation. Three raters each scored 200 reading and mathematics lessons taught by 20 kindergarten teachers. Using Generalizability theory analyses, we decomposed the FFT's Classroom Environment, Instruction, and Total scores…
Descriptors: Teacher Evaluation, Observation, Scores, Test Reliability
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Clain, Alex E.; Alkhuwaiter, Munirah; Davidson, Kate; Martin-Harris, Bonnie – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The purpose of this study was to extend the assessment of the psychometric properties of the Modified Barium Swallow Impairment Profile (MBSImP). Here, we re-examined structural validity and internal consistency using a large clinical-registry data set and formally examined rater reliability in a smaller data set. Method: This study…
Descriptors: Diagnostic Tests, Disability Identification, Physical Disabilities, Eating Disorders
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Huebner, Alan; Lucht, Marissa – Practical Assessment, Research & Evaluation, 2019
Generalizability theory is a modern, powerful, and broad framework used to assess the reliability, or dependability, of measurements. While there exist classic works that explain the basic concepts and mathematical foundations of the method, there is currently a lack of resources addressing computational resources for those researchers wishing to…
Descriptors: Generalizability Theory, Test Reliability, Computer Software, Statistical Analysis
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