title: From Rasch scores to regression.
abstract: Rasch models provide a framework for measurement and modelling latent variables. Having measured a latent variable in a population a comparison of groups will often be of interest. For this purpose the use of observed raw scores will often be inadequate because these lack interval scale properties. This paper compares two approaches to group comparison: linear regression models using estimated person locations as outcome variables and latent regression models based on the distribution of the score.
authors.affiliation: National Institute of Occupational Health, Denmark, Lerso Parkalle 105, Copenhagen 2100 O, Denmark. KBC@AMI.DK
authors.forename: Karl Bang
authors.initials: KB
authors.lastname: Christensen
mesh_terms: D003718:Denmark; D006801:Humans; D016014:Linear Models; D015233:Models, Statistical; D011581:Psychological Tests / Q000706:statistics & numerical data*