title: Interpreting the chi-square statistics reported in the many-faceted Rasch model.
abstract: The different chi-square statistics reported in the many-faceted Rasch model analysis are presented and interpreted. In addition, other chi-square summary values are computed and presented for interpretation of facets. The chi-square values are useful for determining: (1) the significance of a facet in the Rasch model; (2) the significant contribution of facet main and interaction effects; (3) differences among facet elements; and (4) identifying the specific facet interaction adjustments to the subjects' calibrated logit ability measure.
authors.affiliation: College of Education, Dept. of Technology & Cognition, University of North Texas, Denton 76203, USA.
authors.forename: R E
authors.initials: RE
authors.lastname: Schumacker
authors.forename: M E
authors.initials: ME
authors.lastname: Lunz
mesh_terms: D016009:Chi-Square Distribution; D006801:Humans; D011336:Probability; D011594:Psychometrics; D012984:Software; D013647:Task Performance and Analysis