NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 1 to 15 of 85 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Francis L. Huang – Large-scale Assessments in Education, 2024
The use of large-scale assessments (LSAs) in education has grown in the past decade though analysis of LSAs using multilevel models (MLMs) using R has been limited. A reason for its limited use may be due to the complexity of incorporating both plausible values and weighted analyses in the multilevel analyses of LSA data. We provide additional…
Descriptors: Hierarchical Linear Modeling, Evaluation Methods, Educational Assessment, Data Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Liyang Sun; Eli Ben-Michael; Avi Feller – Grantee Submission, 2024
The synthetic control method (SCM) is a popular approach for estimating the impact of a treatment on a single unit with panel data. Two challenges arise with higher frequency data (e.g., monthly versus yearly): (1) achieving excellent pre-treatment fit is typically more challenging; and (2) overfitting to noise is more likely. Aggregating data…
Descriptors: Evaluation Methods, Comparative Analysis, Computation, Data Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
P. Wayan Arta Suyasa; Dewa Gede Hendra Divayana; I Putu Wisna Ariawan; Made Susi Lissia Andayani; I Nyoman Indhi Wiradika; Agus Adiarta – Journal of Education and Learning (EduLearn), 2025
The purpose of this study was to demonstrate the effectiveness level of the Provus-Alkin-amalgamation evaluation application based on Weighted-Product-"Rwa-Bhineda" modification through the results of field trials. This evaluation application was an evaluation tool formed by a combination of educational evaluation models (Provus model…
Descriptors: Evaluation Methods, Educational Assessment, Models, Indigenous Knowledge
Peer reviewed Peer reviewed
Direct linkDirect link
Oscar Clivio; Avi Feller; Chris Holmes – Grantee Submission, 2024
Reweighting a distribution to minimize a distance to a target distribution is a powerful and flexible strategy for estimating a wide range of causal effects, but can be challenging in practice because optimal weights typically depend on knowledge of the underlying data generating process. In this paper, we focus on design-based weights, which do…
Descriptors: Evaluation Methods, Causal Models, Error of Measurement, Guidelines
Terry-McElrath, Yvonne M.; Patrick, Megan E. – Institute for Social Research, 2023
The purpose of this occasional paper is to compare point estimates and trends included in the Monitoring the Future (MTF) Panel Study annual report: "National Data on Substance Use among Adults Ages 19 to 60, 1976-2021" prepared using historical post-stratification weights, with the same point estimates and trends obtained when using MTF…
Descriptors: Substance Abuse, Longitudinal Studies, Weighted Scores, Evaluation Methods
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Wan, Siyu; Keller, Lisa A. – Practical Assessment, Research & Evaluation, 2023
Statistical process control (SPC) charts have been widely used in the field of educational measurement. The cumulative sum (CUSUM) is an established SPC method to detect aberrant responses for educational assessments. There are many studies that investigated the performance of CUSUM in different test settings. This paper describes the CUSUM…
Descriptors: Visual Aids, Educational Assessment, Evaluation Methods, Item Response Theory
Peer reviewed Peer reviewed
Direct linkDirect link
Wyse, Adam E. – Educational Measurement: Issues and Practice, 2020
One commonly used compromise standard-setting method is the Beuk (1984) method. A key assumption of the Beuk method is that the emphasis given to the pass rate and the percent correct ratings should be proportional to the extent that the panelists agree on their ratings. However, whether the slope of Beuk line reflects the emphasis that panelists…
Descriptors: Standard Setting (Scoring), Cutting Scores, Weighted Scores, Evaluation Methods
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Lumbini Barua; Barbara Lockee – TechTrends: Linking Research and Practice to Improve Learning, 2025
The article highlights the growing significance of flexible assessment in higher education as institutions adapt to the increasingly diverse needs of their student populations. The demand for customizable educational experiences, heightened by the COVID-19 pandemic, has made flexibility in assessment essential for sustaining and improving student…
Descriptors: College Faculty, College Students, Adaptive Testing, Alternative Assessment
Tamal Krishna Kayal – Sage Research Methods Cases, 2023
Performance in primary education can be measured in terms of different variables, like enrolment rate, attendance rate, or levels of learning achievement of students. Thus, for an analysis of the comparative performance of units, like country, state, or district, we need an aggregate measure or an index developed from these variables. In…
Descriptors: Foreign Countries, Elementary Education, Measurement Techniques, Evaluation Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Ke-Hai Yuan; Zhiyong Zhang; Lijuan Wang – Grantee Submission, 2024
Mediation analysis plays an important role in understanding causal processes in social and behavioral sciences. While path analysis with composite scores was criticized to yield biased parameter estimates when variables contain measurement errors, recent literature has pointed out that the population values of parameters of latent-variable models…
Descriptors: Structural Equation Models, Path Analysis, Weighted Scores, Comparative Testing
Peer reviewed Peer reviewed
Direct linkDirect link
Goodman, Joshua T.; Dallas, Andrew D.; Fan, Fen – Applied Measurement in Education, 2020
Recent research has suggested that re-setting the standard for each administration of a small sample examination, in addition to the high cost, does not adequately maintain similar performance expectations year after year. Small-sample equating methods have shown promise with samples between 20 and 30. For groups that have fewer than 20 students,…
Descriptors: Equated Scores, Sample Size, Sampling, Weighted Scores
Christine G. Casey, Editor – Centers for Disease Control and Prevention, 2024
The "Morbidity and Mortality Weekly Report" ("MMWR") series of publications is published by the Office of Science, Centers for Disease Control and Prevention (CDC), U.S. Department of Health and Human Services. Articles included in this supplement are: (1) Overview and Methods for the Youth Risk Behavior Surveillance System --…
Descriptors: High School Students, At Risk Students, Health Behavior, National Surveys
Peer reviewed Peer reviewed
Direct linkDirect link
Greene, Mairead; Shorter, Paula – Teaching Mathematics and Its Applications, 2017
The goal of this article is to introduce the revised Conceptual Understanding Weighting System (CUWS) Greene & Shorter (2012, Trans. Dial.), a tool for categorizing and weighting a mathematical task in order to identify the level of conceptual understanding being assessed by the task. In addition, there is discussion of how this weighting…
Descriptors: Mathematics Instruction, Class Activities, Mathematical Concepts, Thinking Skills
Peer reviewed Peer reviewed
Direct linkDirect link
Soh, Kaycheng – Journal of Higher Education Policy and Management, 2017
World university rankings use the weight-and-sum approach to process data. Although this seems to pass the common sense test, it has statistical problems. In recent years, seven such problems have been uncovered: spurious precision, weight discrepancies, assumed mutual compensation, indictor redundancy, inter-system discrepancy, negligence of…
Descriptors: Reputation, Colleges, Evaluation Methods, Institutional Characteristics
Previous Page | Next Page ยป
Pages: 1  |  2  |  3  |  4  |  5  |  6