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test2norm
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Download and install test2norm package within the R console
Install from CRAN:
install.packages("test2norm")
Install from Github:
library("remotes")
install_github("cran/test2norm") Install by package version:
library("remotes")
install_version("test2norm", "0.3.0.1") Attach the package and use:
library("test2norm")
Maintained by
Anya Umlauf
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First Published: 2019-10-16
Latest Update: 2025-06-10
Description:
Package test2norm contains functions to generate formulas for normative standards applied to cognitive tests. It takes raw test scores (e.g., number of correct responses) and converts them to scaled scores and demographically adjusted scores, using methods described in Heaton et al. (2003) <doi:10.1016/B978-012703570-3/50010-9> & Heaton et al. (2009, ISBN:9780199702800). The scaled scores are calculated as quantiles of the raw test scores, scaled to have the mean of 10 and standard deviation of 3, such that higher values always correspond to better performance on the test. The demographically adjusted scores are calculated from the residuals of a model that regresses scaled scores on demographic predictors (e.g., age). The norming procedure makes use of the mfp() function from the 'mfp' package to explore nonlinear associations between cognition and demographic variables.
How to cite:
Anya Umlauf (2019). test2norm: Normative Standards for Cognitive Tests. R package version 0.3.0.1, https://cran.r-project.org/web/packages/test2norm. Accessed 26 Aug. 2026.
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Complete documentation for test2norm
Functions, R codes and Examples using
the test2norm R package
Some associated functions: PsychTestData . raw2scaled . score2adjust . test2norm .
Some associated R codes: Data_description.R . raw2scaled.R . score2adjust.R . test2norm.R . Full test2norm package functions and examples
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