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NormData (version 1.1)

Derivation of Regression-Based Normative Data

Description

Normative data are often used to estimate the relative position of a raw test score in the population. This package allows for deriving regression-based normative data. It includes functions that enable the fitting of regression models for the mean and residual (or variance) structures, test the model assumptions, derive the normative data in the form of normative tables or automatic scoring sheets, and estimate confidence intervals for the norms. This package accompanies the book Van der Elst, W. (2024). Regression-based normative data for psychological assessment. A hands-on approach using R. Springer Nature.

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Version

Install

install.packages('NormData')

Monthly Downloads

204

Version

1.1

License

GPL (>= 2)

Maintainer

Wim der Elst

Last Published

April 12th, 2024

Functions in NormData (1.1)

GCSE

GCSE exam score
Check.Assum

Check assumptions for a fitted Stage 1 model
Fluency

Verbal fluency data
CheckFit

Check the fit of the mean structure of a regression model
Sandwich

Sandwich estimators for standard errors
Plot.Scatterplot.Matrix

Explore data
Levels

Explore data
STAS

State-Trait Anger Scale (STAS)
Stage.2.AutoScore

Make an automatic scoring sheet
GLT

Conduct the General Linear Test (GLT) procedure
Stage.1

Stage 1 of the regression-based normative analysis
ICC

Intra class correlation
Stage.2.NormScore

Convert a raw score to a percentile rank
Personality

Data of the Openness scale of a personality test
plot CheckFit

Evaluate the fit of the mean structure of a fitted Stage 1 model.
summary

Summary
VLT

Verbal Learning Test data
plot ExploreData

Plot means and CIs for test scores.
WriteNormTable

Write a normative table from R to a .txt/.csv/.xlsx file
plot Bootstrap.Stage.2.NormScore

Plot the bootstrap distribution and the percentile bootstrap CI
Stage.2.NormTable

Derive a normative table
Substitution

Substitution test data
TMAS

TMAS data
Tukey.HSD

Conducts Tukey's Honest Significance Difference test
plot Stage.2.NormScore

Plot the results for a Stage.2.NormScore object.
plot Tukey.HSD

Plot the results of Tukey's Honest Significance Difference test.
plot ICC

Graphical depiction of the ICC.
PlotFittedPoly

Explore data
plot Stage.1

Check the model assumptions for a fitted Stage 1 model graphically.
Coding

Check the coding of a variable
Fract.Poly

Fit fractional polynomials
ExploreData

Explore data
Densities

Plot densities
Bootstrap.Stage.2.NormTable

Bootstraps confidence intervals for a normative table
Bootstrap.Stage.2.NormScore

Bootstraps a confidence interval for a percentile rank