Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Decision Making | 3 |
Monte Carlo Methods | 3 |
Statistical Inference | 3 |
Comparative Analysis | 2 |
Communication Strategies | 1 |
Computation | 1 |
Computer Simulation | 1 |
Data | 1 |
Decision Support Systems | 1 |
Educational Principles | 1 |
Elementary Schools | 1 |
More ▼ |
Author
Caulkins, Jonathan P. | 1 |
Jiashan Tang | 1 |
Katerina M. Marcoulides | 1 |
Ke-Hai Yuan | 1 |
Shunji Wang | 1 |
Thur, Scott M. | 1 |
Publication Type
Journal Articles | 2 |
Dissertations/Theses -… | 1 |
Opinion Papers | 1 |
Reports - Research | 1 |
Education Level
Elementary Education | 1 |
Higher Education | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Postsecondary Education | 1 |
Secondary Education | 1 |
Audience
Researchers | 1 |
Location
South Carolina | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Shunji Wang; Katerina M. Marcoulides; Jiashan Tang; Ke-Hai Yuan – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A necessary step in applying bi-factor models is to evaluate the need for domain factors with a general factor in place. The conventional null hypothesis testing (NHT) was commonly used for such a purpose. However, the conventional NHT meets challenges when the domain loadings are weak or the sample size is insufficient. This article proposes…
Descriptors: Hypothesis Testing, Error of Measurement, Comparative Analysis, Monte Carlo Methods
Thur, Scott M. – ProQuest LLC, 2015
The purpose of this study was to measure decision-making influences within RtI teams. The study examined the factors that influence school personnel involved in three areas of RtI: determining which RtI measures and tools teams select and implement (i.e. Measures and Tools), evaluating the data-driven decisions that are made based on the…
Descriptors: Decision Making, Response to Intervention, Teamwork, Data
Caulkins, Jonathan P. – Journal of Policy Analysis and Management, 2002
In this article, the author discusses the use in policy analysis of models that incorporate uncertainty. He believes that all models should consider incorporating uncertainty, but that at the same time it is important to understand that sampling variability is not usually the dominant driver of uncertainty in policy analyses. He also argues that…
Descriptors: Statistical Inference, Models, Policy Analysis, Sampling