Publication Date
| In 2015 | 0 |
| Since 2014 | 0 |
| Since 2011 (last 5 years) | 1 |
| Since 2006 (last 10 years) | 1 |
| Since 1996 (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 |
| More ▼ | |
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 |
| More ▼ | |
Audience
Showing one result
Brandon, 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

Peer reviewed
Direct link
