… Rasch unidimensional models for measurement). Although the first principles are emphasized,
much of the course … The distinctive feature of Rasch measurement theory is that the model …

… Of course, we stress that for estimates of the thresholds to be independent of the distribution
of persons in the Rasch model, the ratings must be consistent with the model to a level …

In this study, we present an approach to questionnaire design within educational research
based on Guttman's mapping sentences and Many‐Facet Rasch Measurement Theory. We …

… Rasch measurement theory (Rasch, 1960) analyses using existing R packages. The book
includes some background information about Rasch … with Rasch measurement theory at a …

… from the perspective of Rasch Measurement Theory. Rasch Measurement Theory provides
a … quality for CR questions with Generalizability Theory. This study augments and extends …

… treatise will show the arithmetic, clearly exposing just how easy Rasch analysis is to use. …
The starting point is a notion about an aspect of a class of things we want to understand better. …

… value as predicted by the Rasch model. The line represents the expected scores as predicted
by the Rasch model. The black dots represent class intervals (mean person estimates). …

… is that Rasch measurement theory is not simply defined by a particular family of Rasch models
… A course in Rasch measurement theory: Measuring in the educational, social and health …

… the basic one-parameter Rasch model (Rasch, 1960). The Rasch model is a logistic, latent
trait model of probability for monotonically increasing functions. The model is derived not from …

… in Rasch analysis, the sample is divided by class intervals according to different levels of the
latent trait, and mean scores are calculated for each class … It is important that class intervals …