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Rice, C. E.; Carpenter, L. A.; Morrier, M. J.; Lord, C.; DiRienzo, M.; Boan, A.; Skowyra, C.; Fusco, A.; Baio, J.; Esler, A.; Zahorodny, W.; Hobson, N.; Mars, A.; Thurm, A.; Bishop, S.; Wiggins, L. D. – Journal of Autism and Developmental Disorders, 2022
This paper describes a process to define a comprehensive list of exemplars for seven core Diagnostic and Statistical Manual (DSM) diagnostic criteria for autism spectrum disorder (ASD), and report on interrater reliability in applying these exemplars to determine ASD case classification. Clinicians completed an iterative process to map specific…
Descriptors: Autism Spectrum Disorders, Clinical Diagnosis, Test Reliability, Interrater Reliability
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Janice Kinghorn; Katherine McGuire; Bethany L. Miller; Aaron Zimmerman – Assessment Update, 2024
In this article, the authors share their reflections on how different experiences and paradigms have broadened their understanding of the work of assessment in higher education. As they collaborated to create a panel for the 2024 International Conference on Assessing Quality in Higher Education, they recognized that they, as assessment…
Descriptors: Higher Education, Assessment Literacy, Evaluation Criteria, Evaluation Methods
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Tenko Raykov; George Marcoulides; Randall Schumacker – Measurement: Interdisciplinary Research and Perspectives, 2024
An application of Bayesian factor analysis for evaluation of scale reliability is discussed, which is developed within the framework of latent variable modeling. The method permits direct point and interval estimation of the reliability coefficient of multiple-component measuring instruments using Bayesian inference. The approach allows also point…
Descriptors: Reliability, Bayesian Statistics, Measurement Techniques, Computer Software
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Tenko Raykov; George Marcoulides; James Anthony; Natalja Menold – Measurement: Interdisciplinary Research and Perspectives, 2024
A Bayesian statistics-based approach is discussed that can be used for direct evaluation of the popular Cronbach's coefficient alpha as an internal consistency index for multiple-component measuring instruments, as well as for testing its identity to scale reliability. The method represents an application of confirmatory factor analysis within the…
Descriptors: Reliability, Factor Analysis, Bayesian Statistics, Measurement Techniques
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Ian Jones; Ben Davies – International Journal of Research & Method in Education, 2024
Educational researchers often need to construct precise and reliable measurement scales of complex and varied representations such as participants' written work, videoed lesson segments and policy documents. Developing such scales using can be resource-intensive and time-consuming, and the outcomes are not always reliable. Here we present…
Descriptors: Educational Research, Comparative Analysis, Educational Researchers, Measurement
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Victoria Reyes; Elizabeth Bogumil; Levin Elias Welch – Sociological Methods & Research, 2024
Transparency is once again a central issue of debate across types of qualitative research. Work on how to conduct qualitative data analysis, on the other hand, walks us through the step-by-step process on how to code and understand the data we've collected. Although there are a few exceptions, less focus is on transparency regarding…
Descriptors: Qualitative Research, Data Analysis, Guides, Databases
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Richard S. Balkin; Quentin Hunter; Bradley T. Erford – Measurement and Evaluation in Counseling and Development, 2024
We describe best practices in reporting reliability estimates in counseling research with consideration to precision, generalization, and diverse populations. We provide a historical context to reporting reliability estimates, the limitations of past practices, and new methods to address reliability generalization. We highlight best practices…
Descriptors: Best Practices, Reliability, Counseling, Research
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Tenko Raykov; Bingsheng Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Multidimensional measuring instruments are often used in behavioral, social, educational, marketing, and biomedical research. For these scales, the paper discusses how to find the optimal score based on their components that is associated with the highest possible reliability. Within the framework of structural equation modeling, an approach to…
Descriptors: Multidimensional Scaling, Measurement Equipment, Measurement Techniques, Test Reliability
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Ryan M. Cook; Stefanie A. Wind – Measurement and Evaluation in Counseling and Development, 2024
The purpose of this article is to discuss reliability and precision through the lens of a modern measurement approach, item response theory (IRT). Reliability evidence in the field of counseling is primarily generated using Classical Test Theory (CTT) approaches, although recent studies in the field of counseling have shown the benefits of using…
Descriptors: Item Response Theory, Measurement, Reliability, Accuracy
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Fumei Liu – Cogent Education, 2024
This paper details how to effectively share three-dimensional geological models using data conversion between two mainstream mining software, Micromine and Surpac. It also discusses the impact of this conversion method on geological integrated exploration decision-making guidance. The current situation primarily manifests in the fact that both…
Descriptors: Computer Software, Geology, Models, Decision Making
Denise Swanson; Gerald Tindal – Behavioral Research and Teaching, 2024
This technical report provides an authoritative bibliographic resource of all the studies conducted on "easyCBM"® and published on the main website for Behavioral Research and Teaching under Publications (https://brtprojects.org). The "easyCBM"© software is a direct descendent of "Curriculum-based Measurement" (CBM)…
Descriptors: Bibliographies, Computer Software, Test Construction, Test Reliability
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Raykov, Tenko; Anthony, James C.; Menold, Natalja – Educational and Psychological Measurement, 2023
The population relationship between coefficient alpha and scale reliability is studied in the widely used setting of unidimensional multicomponent measuring instruments. It is demonstrated that for any set of component loadings on the common factor, regardless of the extent of their inequality, the discrepancy between alpha and reliability can be…
Descriptors: Correlation, Evaluation Research, Reliability, Measurement Techniques
National Institute for Excellence in Teaching, 2023
Aspiring teachers must develop an in-depth understanding of high-quality instructional practices. In order to prepare, instruct, and coach aspiring teachers, the National Institute for Excellence in Teaching (NIET) has developed a the NIET Aspiring Teacher Rubric (ATR) based on principles of excellence in instruction. This research brief…
Descriptors: Scoring Rubrics, Preservice Teachers, Test Construction, Test Validity
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Leighton, Jacqueline P.; Lehman, Blair – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Jacqueline Leighton and Dr. Blair Lehman review differences between think-aloud interviews to measure problem-solving processes and cognitive labs to measure comprehension processes. Learners are introduced to historical, theoretical, and procedural differences between these methods and how to use and analyze…
Descriptors: Protocol Analysis, Interviews, Problem Solving, Cognitive Processes
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Scott J. Peters; Matthew C. Makel; Lindsay Ellis Lee; Tamra Stambaugh; Matthew T. McBee; D. Betsy McCoach; Kiana R. Johnson – Gifted Child Today, 2024
Universal screening is one of the most-common topics and well-accepted best practices within the field of gifted and talented education. There appears to be little disagreement that universally screening all students as part of a gifted and talented identification process results in fewer missed students. But surprisingly, there is little guidance…
Descriptors: Academically Gifted, Talent Identification, Screening Tests, Test Validity
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