Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Achievement Tests | 1 |
| Benchmarking | 1 |
| Computation | 1 |
| Computer Software | 1 |
| Correlation | 1 |
| Educational Experiments | 1 |
| Educational Research | 1 |
| Effect Size | 1 |
| Elementary Secondary Education | 1 |
| Statistical Analysis | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Descriptive | 1 |
Education Level
| Elementary Education | 1 |
| Elementary Secondary Education | 1 |
| Grade 10 | 1 |
| Grade 3 | 1 |
| Grade 4 | 1 |
| Grade 5 | 1 |
| Grade 6 | 1 |
| Grade 7 | 1 |
| Grade 8 | 1 |
| Grade 9 | 1 |
| High Schools | 1 |
| More ▼ | |
Audience
Location
| Hawaii | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkBrandon, Paul R.; Harrison, George M.; Lawton, Brian E. – American Journal of Evaluation, 2013
When evaluators plan site-randomized experiments, they must conduct the appropriate statistical power analyses. These analyses are most likely to be valid when they are based on data from the jurisdictions in which the studies are to be conducted. In this method note, we provide software code, in the form of a SAS macro, for producing statistical…
Descriptors: Statistical Analysis, Correlation, Effect Size, Benchmarking
