Modelling Norm Scores with the cNORM Package in R

• Main Authors: Sebastian Gary, Wolfgang Lenhard, Alexandra Lenhard
• Format: Article
• Language: English
• Published: MDPI AG 2021-08-01
• Series: Psych
• Subjects: regression-based norming; continuous norming; inferential norming; data smoothing; curve fitting; percentile estimation
• Online Access: https://www.mdpi.com/2624-8611/3/3/33

In this article, we explain and demonstrate how to model norm scores with the cNORM package in R. This package is designed specifically to determine norm scores when the latent ability to be measured covaries with age or other explanatory variables such as grade level. The mathematical method used in this package draws on polynomial regression to model a three-dimensional hyperplane that smoothly and continuously captures the relation between raw scores, norm scores and the explanatory variable. By doing so, it overcomes the typical problems of classical norming methods, such as overly large age intervals, missing norm scores, large amounts of sampling error in the subsamples or huge requirements with regard to the sample size. After a brief introduction to the mathematics of the model, we describe the individual methods of the package. We close the article with a practical example using data from a real reading comprehension test.