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A weighted test of internal symmetry
Authors:Thomas J. Smith  Cornelius M. McKenna
Affiliation:1. Department of Educational Technology, Research and Assessment , Northern Illinois University , DeKalb, IL, USA;2. Department of Mathematics , Kishwaukee College , Malta, IL, USA
Abstract:This study examines extensions of McNemar's Test with multinomial responses, and proposes a linear weighting scheme, based on the distance of the response change, that is applied to one of these extensions (Bowker's test). This weighted version of Bowker's test is then appropriate for ordinal response variables. A Monte Carlo simulation was conducted to examine the Type I error rate of the weighted Bowker's test for a cross-classification table based on a five-category ordinal response scale. The weighted Bowker's test was also applied to a data set involving change in student attitudes towards mathematics. The results of the weighted Bowker's test were compared with the results of Bowker's test applied to the same set of data.
Keywords:Bowker's test for internal symmetry  McNemar's test  homogeneity  contingency table  simultaneous inference
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