WLenhard/cNORM: Continuous Norming

Conventional methods for producing standard scores in psychometrics or biometrics are often plagued with "jumps" or "gaps" (i.e., discontinuities) in norm tables and low confidence for assessing extreme scores. The continuous norming method introduced by A. Lenhard et al. (2016), <doi:10.1177/1073191116656437>, generates continuous test norm scores on the basis of the raw data from standardization samples, without requiring assumptions about the distribution of the raw data: Norm scores are directly established from raw data by modeling the latter ones as a function of both percentile scores and an explanatory variable (e.g., age). The method minimizes bias arising from sampling and measurement error, while handling marked deviations from normality, addressing bottom or ceiling effects and capturing almost all of the variance in the original norm data sample.

Getting started

Package details

MaintainerWolfgang Lenhard <[email protected]>
URL https://www.psychometrica.de/cNorm_en.html https://github.com/WLenhard/cNORM
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
WLenhard/cNORM documentation built on Dec. 29, 2018, 9:09 a.m.