JAMOVI Frontend for Continuous Norming with cNORM. Please use the module library of JAMOVI to install the module.
Includes conventional and regression-based continuous norming methods for psychometric, biometric and medical test construction. Percentiles and norm scores are estimated via inverse normal transformation and modeled via Taylor polynomials. The continuous method reduces the necessary sample size, closes gaps between and within the norm groups and decreases error variance in the norm data.
Tutorials on conducting the method and the statistical background is available via https://www.psychometrica.de/cNorm_en.html
- Lenhard, A., Lenhard, W., Suggate, S. & Segerer, R. (2016). A continuous solution to the norming problem. Assessment, Online first, 1-14. https://doi.org/10.1177/1073191116656437
- Lenhard, A., Lenhard, W., Gary, S. (2018). Continuous Norming (cNORM). The Comprehensive R Network, Package cNORM, available: https://CRAN.R-project.org/package=cNORM
- Lenhard, A., Lenhard, W., Gary, S. (2019). Continuous norming of psychometric tests: A simulation study of parametric and semi-parametric approaches. PLoS ONE, 14(9), e0222279. https://doi.org/10.1371/journal.pone.0222279
- Lenhard, W., & Lenhard, A. (2020). Improvement of Norm Score Quality via Regression-Based Continuous Norming. Educational and Psychological Measurement(Online First), 1-33. https://doi.org/10.1177/0013164420928457