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https://github.com/educationaltestingservice/schoolgrowth
R package for more accurate school-level aggregate growth measures using Empirical Best Linear Prediction (EBLP)
https://github.com/educationaltestingservice/schoolgrowth
blp education r statistics
Last synced: about 17 hours ago
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R package for more accurate school-level aggregate growth measures using Empirical Best Linear Prediction (EBLP)
- Host: GitHub
- URL: https://github.com/educationaltestingservice/schoolgrowth
- Owner: EducationalTestingService
- License: mit
- Created: 2023-09-07T17:18:35.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-02-13T15:55:48.000Z (9 months ago)
- Last Synced: 2024-04-21T06:17:15.437Z (7 months ago)
- Topics: blp, education, r, statistics
- Language: R
- Homepage: https://doi.org/10.3102/10769986221101624
- Size: 40 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# SCHOOLGROWTH
This R package provides functions for improving the accuracy of school-level aggregate growth measures using Empirical Best Linear Prediction (EBLP). It uses student-level growth scores for particular years, grades, and subjects to compute simple average estimates and EBLPs of specified school-level aggregate growth targets.
Estimated MSEs for both direct estimates and EBLPs are also provided. The details of the functions are described in Lockwood et al. (2022).**Reference**: Lockwood, J. R., Castellano, K. E., & McCaffrey, D. F. (2022). Improving Accuracy and Stability of Aggregate Student Growth Measures Using Empirical Best Linear Prediction. Journal of Educational and Behavioral Statistics, 47(5), 544-575. https://doi.org/10.3102/10769986221101624
## INSTALLATION
Install within the program R by using:
`devtools:::install_github("EducationalTestingService/schoolgrowth")`
`library(schoolgrowth)`## EXAMPLES
To run examples, use:
`example(schoolgrowth)`## CONTRIBUTING TO THE PACKAGE
To contribute to the package, please contact the package author Katherine Castellano at [email protected].