Calculates the standard error (SE) or root mean square error (RMSE) of the norm scores In case of large datasets, both results should be almost identical
Calculates the standard error (SE) or root mean square error (RMSE) of the norm scores In case of large datasets, both results should be almost identical
getNormScoreSE(model, type =2)
Arguments
model: a cnorm object
type: either '1' for the standard error senso Oosterhuis et al. (2016) or '2' for the RMSE (default)
Returns
The standard error (SE) of the norm scores sensu Oosterhuis et al. (2016) or the RMSE
References
Oosterhuis, H. E. M., van der Ark, L. A., & Sijtsma, K. (2016). Sample Size Requirements for Traditional and Regression-Based Norms. Assessment, 23(2), 191–202. https://doi.org/10.1177/1073191115580638