modernVA: An Implementation of Two Modern Education-Based Value-Added
Models
Provides functions that fit two modern education-based value-added models.
One of these models is the quantile value-added model. This model
permits estimating a school's value-added based on specific quantiles of
the post-test distribution. Estimating value-added based on quantiles
of the post-test distribution provides a more complete picture of an
education institution's contribution to learning for students of all
abilities. See Page, G.L.; San Martín, E.; Orellana, J.; Gonzalez, J. (2017)
<doi:10.1111/rssa.12195> for more details. The second model is a temporally
dependent value-added model. This model takes into account the temporal
dependence that may exist in school performance between two cohorts in one
of two ways. The first is by modeling school random effects with a
non-stationary AR(1) process. The second is by modeling school effects
based on previous cohort's post-test performance. In addition to more
efficiently estimating value-added, this model permits making statements
about the persistence of a schools effectiveness. The standard value-added
model is also an option.
| Version: |
0.1.3 |
| Published: |
2023-11-23 |
| DOI: |
10.32614/CRAN.package.modernVA |
| Author: |
Garritt L. Page [aut, cre, cph],
S. McKay Curtis [ctb, cph],
Radford M. Neal [ctb, cph] |
| Maintainer: |
Garritt L. Page <page at stat.byu.edu> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: |
yes |
| CRAN checks: |
modernVA results |
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