Many-facet Rasch analysis with crossed, nested, and mixed designs.
Many-facet Rasch analysis provides the bases for making fair and meaningful decisions from individual ratings by judges on tasks. The typical measurement design employed in a many-facet Rasch analysis has judges crossed with other facets or conditions of measurement. A nested design does not permit facets to be compared. However, a mixed design can be used to achieve a common vertical ruler when the frame of reference permits commensurate measures to be linked. Examples of crossed, nested, and mixed designs are presented to illustrate how a many-facet Rasch analysis can be modified to meet the connectivity requirement for comparing facet measures.
Schumacker
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Department of Technology and Cognition, University of North Texas, Denton 76203-1337, USA. rschumacker@unt.edu
D006801:Humans; D015233:Models, Statistical; D011594:Psychometrics / Q000379:methods*; D012107:Research Design; D012984:Software; D013647:Task Performance and Analysis