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Cristan Farmer; Aaron J. Kaat; Michael C. Edwards; Luc Lecavalier – American Journal on Intellectual and Developmental Disabilities, 2024
Measurement invariance (MI) is a psychometric property of an instrument indicating the degree to which scores from an instrument are comparable across groups. In recent years, there has been a marked uptick in publications using MI in intellectual and developmental disability (IDD) samples. Our goal here is to provide an overview of why MI is…
Descriptors: Measurement, Psychometrics, Scores, Intellectual Disability
Deborah J. Harris – Educational Measurement: Issues and Practice, 2024
This article is based on my 2023 NCME Presidential Address, where I talked a bit about my journey into the profession, and more substantively about comparable scores. Specifically, I discussed some of the different ways 'comparable scores' are defined, highlighted some areas I think we as a profession need to pay more attention to when considering…
Descriptors: Scores, Comparative Analysis, Speeches, Career Development
Strauss, Christian L. L. – ProQuest LLC, 2022
In many psychological and educational applications, it is imperative to obtain valid and reliable score estimates of multilevel processes. For example, in order to assess the quality and characteristics of high impact learning processes, one must compute accurate scores representative of student- and classroom-level constructs. Currently, there…
Descriptors: Scores, Factor Analysis, Models, True Scores
Zafer Ozen; Nielsen Pereira; Tugce Karatas; Hernán Castillo-Hermosilla; Yukiko Maeda – Gifted Child Quarterly, 2025
Cognitive Abilities Test (CogAT) is one of the most frequently used gifted identification tools. In this meta-analytic study, we investigated empirical evidence of the validity of CogAT, in relation to different types of instruments. After reviewing 1,480 studies, a total of 24 with 33 effect sizes were included in the meta-analysis. According to…
Descriptors: Test Validity, Cognitive Tests, Disability Identification, Scores
Abigail R. Vild; Maggie E. Wilson; Christopher A. Was – Journal of Research in Education, 2025
Theories of self-regulated learning suggest a positive link between knowledge monitoring accuracy (the ability to predict test performance) and performance on tests. Put differently, students who accurately monitor their knowledge of course content more efficiently regulate study of course materials. However, a plethora of literature indicates…
Descriptors: Student Satisfaction, Undergraduate Students, Scores, Prediction
Stefan O'Grady – TESOL Journal, 2025
Task-based language assessment represents a major component of task-based language teaching syllabi. Current perspectives emphasise the importance of tasks in the assessment process, suggesting that adherence to influential models of language production during task design yields predictable test outcomes. The current study contends that the…
Descriptors: Task Analysis, Language Tests, Evaluators, Rating Scales
Lauren E. Bates; Sarah J. Myers; Edward L. DeLosh; Matthew G. Rhodes – Psychology Learning and Teaching, 2025
The present work assessed a quizzing method that combines the benefits of retrieval practice and feedback, whereby learners must continue taking quizzes until they achieve a perfect score with feedback provided (i.e., "mastery quizzing"). Across four experiments (n = 952; age 18-76, M = 37.10, SD = 11.61; 50% female, 48% male, 2% other…
Descriptors: Mastery Tests, Retention (Psychology), Evaluation Methods, Adults
Tom Swiderski; Sarah Crittenden Fuller – Brookings Institution, 2023
The harm to student learning during the COVID-19 pandemic has been well documented and an incredible influx of resources--including $260 billion in federal government investment--has been dedicated to support schools' recovery. Much of this money has been spent developing and expanding academic recovery efforts such as after-school tutoring and…
Descriptors: Grade Point Average, Scores, Achievement Gap, Test Score Decline
Soland, James – Educational Measurement: Issues and Practice, 2023
Most individuals who take, interpret, design, or score tests are aware that examinees do not always provide full effort when responding to items. However, many such individuals are not aware of how pervasive the issue is, what its consequences are, and how to address it. In this digital ITEMS module, Dr. James Soland will help fill these gaps in…
Descriptors: Student Behavior, Tests, Scores, Incidence
Ke-Hai Yuan; Zhiyong Zhang – Grantee Submission, 2022
Structural equation modeling (SEM) is a widely used technique for studies involving latent constructs. While covariance-based SEM (CB-SEM) permits estimating the regression relationship among latent constructs, the parameters governing this relationship do not apply to that among the scored values of the constructs, which are needed for…
Descriptors: Psychometrics, Structural Equation Models, Scores, Least Squares Statistics
Blake H. Heller – Annenberg Institute for School Reform at Brown University, 2024
In 2016, the GED® introduced college readiness benchmarks designed to identify testers who are academically prepared for credit-bearing college coursework. The benchmarks are promoted as awarding college credits or exempting "college-ready" GED® graduates from remedial coursework. I show descriptive evidence that those identified as…
Descriptors: High School Equivalency Programs, College Readiness, Eligibility, Benchmarking
Marion Durbahn; Michael Rodgers; Marijana Macis; Elke Peters – Studies in Second Language Acquisition, 2024
This study aimed to investigate the relationship between lexical coverage and TV viewing comprehension. Previous studies have indicated that 95% to 98% of lexical coverage may be needed for reading comprehension (Hu & Nation, 2000). To understand informal listening passages, lower coverage figures (95%-90%) may suffice. However, no study has…
Descriptors: Television Viewing, Lexicology, Comprehension, Visual Aids
Shao, Lucy; Levine, Richard A.; Guarcello, Maureen A.; Wilke, Morten C.; Stronach, Jeanne; Frazee, James P.; Fan, Juanjuan – International Journal of Artificial Intelligence in Education, 2023
Propensity score matching and weighting methods are applied to balance covariates and reduce selection bias in the analysis of observational study data, and ultimately estimate a treatment effect. We wish to evaluate the impact of a Supplemental Instruction (SI) program on student success in an Introductory Statistics course. In such student…
Descriptors: Statistical Bias, Probability, Scores, Weighted Scores
Kristen Bottema-Beutel; Shannon Crowley LaPoint; So Yoon Kim; Sarah Mohiuddin; Qun Yu; Rachael McKinnon – Exceptional Children, 2024
In this secondary analysis of a previously conducted systematic review, we analyze social validity assessments in intervention research for transition-age autistic youth. Social validity is concerned with the acceptability of the intervention goals, the acceptability and feasibility of the intervention procedures, and the perceived importance of…
Descriptors: Autism Spectrum Disorders, Intervention, Validity, Psychometrics
Michael T. Kalkbrenner – Measurement and Evaluation in Counseling and Development, 2024
The purpose of this instructional piece was to provide a nontechnical synthesis of common internal consistency reliability estimates used in professional counseling and in related fields. The article begins with an overview of coefficients alpha, omega, omega hierarchical, and H, with guidelines for their selection. Next, I provide recommendations…
Descriptors: Reliability, Counseling, Cutting Scores, High Stakes Tests