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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
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
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
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
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
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
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