Publication Date
In 2025 | 4 |
Since 2024 | 5 |
Descriptor
Bayesian Statistics | 5 |
Probability | 5 |
COVID-19 | 2 |
Communicable Diseases | 2 |
Decision Making | 2 |
Educational Policy | 2 |
In Person Learning | 2 |
Organizational Learning | 2 |
Pandemics | 2 |
Policy Formation | 2 |
Risk Assessment | 2 |
More ▼ |
Source
Grantee Submission | 2 |
Education Finance and Policy | 1 |
Research Synthesis Methods | 1 |
Sociological Methods &… | 1 |
Author
Alvin Christian | 2 |
Brian Jacob | 2 |
John D. Singleton | 2 |
Alexander D. Latham | 1 |
Carly Oddleifson | 1 |
David A. Klingbeil | 1 |
Haitao Chu | 1 |
Ishan N. Vengurlekar | 1 |
Jennifer L. Proper | 1 |
Jessica S. Kim | 1 |
John Ermisch | 1 |
More ▼ |
Publication Type
Journal Articles | 5 |
Reports - Research | 5 |
Education Level
Early Childhood Education | 1 |
Elementary Education | 1 |
Grade 3 | 1 |
Grade 4 | 1 |
Grade 5 | 1 |
Intermediate Grades | 1 |
Middle Schools | 1 |
Primary Education | 1 |
Audience
Location
Missouri | 1 |
United Kingdom | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
John Ermisch – Sociological Methods & Research, 2025
Empirical analysis of variation in demographic events within the population is facilitated by using longitudinal survey data because of the richness of covariate measures in such data, but there is wave-on-wave dropout. When attrition is related to the event, it precludes consistent estimation of the impacts of covariates on the event and on event…
Descriptors: Attrition (Research Studies), Longitudinal Studies, Surveys, Statistical Analysis
Jennifer L. Proper; Haitao Chu; Purvi Prajapati; Michael D. Sonksen; Thomas A. Murray – Research Synthesis Methods, 2024
Drug repurposing refers to the process of discovering new therapeutic uses for existing medicines. Compared to traditional drug discovery, drug repurposing is attractive for its speed, cost, and reduced risk of failure. However, existing approaches for drug repurposing involve complex, computationally-intensive analytical methods that are not…
Descriptors: Network Analysis, Meta Analysis, Prediction, Drug Therapy
Alvin Christian; Brian Jacob; John D. Singleton – Grantee Submission, 2025
Recent controversies have highlighted the importance of local school district governance, but little empirical evidence exists evaluating the quality of district policy makers or policies. In this paper, we take a novel approach to assessing school district decision making. We posit a model of rational decision making under uncertainty that…
Descriptors: School Districts, Decision Making, In Person Learning, COVID-19
Alvin Christian; Brian Jacob; John D. Singleton – Education Finance and Policy, 2025
Recent controversies have highlighted the importance of local school district governance, but little empirical evidence exists evaluating the quality of district policy makers or policies. In this paper, we take a novel approach to assessing school district decision making. We posit a model of rational decision making under uncertainty that…
Descriptors: School Districts, Decision Making, In Person Learning, COVID-19
Carly Oddleifson; Stephen Kilgus; David A. Klingbeil; Alexander D. Latham; Jessica S. Kim; Ishan N. Vengurlekar – Grantee Submission, 2025
The purpose of this study was to conduct a conceptual replication of Pendergast et al.'s (2018) study that examined the diagnostic accuracy of a nomogram procedure, also known as a naive Bayesian approach. The specific naive Bayesian approach combined academic and social-emotional and behavioral (SEB) screening data to predict student performance…
Descriptors: Bayesian Statistics, Accuracy, Social Emotional Learning, Diagnostic Tests