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idmact
View on CRAN: Click
here
Download and install idmact package within the R console
Install from CRAN:
install.packages("idmact")
Install from Github:
library("remotes")
install_github("cran/idmact")
Install by package version:
library("remotes")
install_version("idmact", "1.0.1")
Attach the package and use:
library("idmact")
Maintained by
Mackson Ncube
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-18
Latest Update: 2023-05-18
Description:
Interpreting the differences between mean scale scores across various
forms of an assessment can be challenging. This difficulty arises from different
mappings between raw scores and scale scores, complex mathematical relationships,
adjustments based on judgmental procedures, and diverse equating functions applied
to different assessment forms. An alternative method involves running simulations
to explore the effect of incrementing raw scores on mean scale scores. The
'idmact' package provides an implementation of this approach based on the
algorithm detailed in Schiel (1998)
which
was developed to help interpret differences between mean scale scores on the
American College Testing (ACT) assessment. The function idmact_subj() within
the package offers a framework for running simulations on subject-level scores.
In contrast, the idmact_comp() function provides a framework for conducting
simulations on composite scores.
How to cite:
Mackson Ncube (2023). idmact: Interpreting Differences Between Mean ACT Scores. R package version 1.0.1, https://cran.r-project.org/web/packages/idmact
Previous versions and publish date:
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Other R packages that idmact depends,
imports, suggests or enhances
Functions, R codes and Examples using
the idmact R package
Some associated functions: adjust_raw_scores . idmact_comp . idmact_subj . map_elongate . map_elongate_df . map_scores .
Some associated R codes: idmact_comp.R . idmact_helpers.R . idmact_subj.R . map_elongation.R . Full idmact package functions and examples
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