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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

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R package for more accurate school-level aggregate growth measures using Empirical Best Linear Prediction (EBLP)

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# 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].