Literature DB >> 10572385

Many-facet Rasch analysis with crossed, nested, and mixed designs.

R E Schumacker1.   

Abstract

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.

Mesh:

Year:  1999        PMID: 10572385

Source DB:  PubMed          Journal:  J Outcome Meas        ISSN: 1090-655X


  2 in total

1.  The Stabilizing Influences of Linking Set Size and Model-Data Fit in Sparse Rater-Mediated Assessment Networks.

Authors:  Stefanie A Wind; Eli Jones
Journal:  Educ Psychol Meas       Date:  2017-04-12       Impact factor: 2.821

2.  Detecting Rater Biases in Sparse Rater-Mediated Assessment Networks.

Authors:  Stefanie A Wind; Yuan Ge
Journal:  Educ Psychol Meas       Date:  2021-01-19       Impact factor: 3.088

  2 in total

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