Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 3 |
Descriptor
Generalization | 3 |
Probability | 3 |
Classification | 2 |
Computation | 2 |
Experiments | 2 |
Sampling | 2 |
Comparative Analysis | 1 |
Computer Software | 1 |
Educational Assessment | 1 |
Elementary Secondary Education | 1 |
Experimental Groups | 1 |
More ▼ |
Source
Journal of Educational and… | 3 |
Author
Tipton, Elizabeth | 2 |
Chan, Wendy | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Education Level
Elementary Secondary Education | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Chan, Wendy – Journal of Educational and Behavioral Statistics, 2018
Policymakers have grown increasingly interested in how experimental results may generalize to a larger population. However, recently developed propensity score-based methods are limited by small sample sizes, where the experimental study is generalized to a population that is at least 20 times larger. This is particularly problematic for methods…
Descriptors: Computation, Generalization, Probability, Sample Size
Tipton, Elizabeth – Journal of Educational and Behavioral Statistics, 2014
Although a large-scale experiment can provide an estimate of the average causal impact for a program, the sample of sites included in the experiment is often not drawn randomly from the inference population of interest. In this article, we provide a generalizability index that can be used to assess the degree of similarity between the sample of…
Descriptors: Experiments, Comparative Analysis, Experimental Groups, Generalization
Tipton, Elizabeth – Journal of Educational and Behavioral Statistics, 2013
As a result of the use of random assignment to treatment, randomized experiments typically have high internal validity. However, units are very rarely randomly selected from a well-defined population of interest into an experiment; this results in low external validity. Under nonrandom sampling, this means that the estimate of the sample average…
Descriptors: Generalization, Experiments, Classification, Computation