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repsd  

Root Expected Proportion Squared Difference for Detecting DIF
View on CRAN: Click here


Download and install repsd package within the R console
Install from CRAN:
install.packages("repsd")

Install from Github:
library("remotes")
install_github("cran/repsd")

Install by package version:
library("remotes")
install_version("repsd", "1.0.1")



Attach the package and use:
library("repsd")
Maintained by
Anthony William Raborn
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-23
Latest Update: 2023-04-18
Description:
Root Expected Proportion Squared Difference (REPSD) is a nonparametric differential item functioning (DIF) method that (a) allows practitioners to explore for DIF related to small, fine-grained focal groups of examinees, and (b) compares the focal group directly to the composite group that will be used to develop the reported test score scale. Using your provided response matrix with a column that identifies focal group membership, this package provides the REPSD values, a simulated null distribution of possible REPSD values, and the simulated p-values identifying items possibly displaying DIF without requiring enormous sample sizes.
How to cite:
Anthony William Raborn (2023). repsd: Root Expected Proportion Squared Difference for Detecting DIF. R package version 1.0.1, https://cran.r-project.org/web/packages/repsd. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2023-03-23 11:30)
Other packages that cited repsd R package
View repsd citation profile
Other R packages that repsd depends, imports, suggests or enhances
Complete documentation for repsd
Functions, R codes and Examples using the repsd R package
Some associated functions: estimate_impact . null_repsd . plot_repsd . repsd . repsd_pval . timmsData . timmsDiffic . timmsDiscrim . 
Some associated R codes: data.R . estimate_impact.R . null_repsd.R . plot_repsd.R . repsd.R . repsd_pval.R .  Full repsd package functions and examples
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