Title of article :
A weighted test of internal symmetry
Author/Authors :
Thomas J. Smith&Cornelius M. McKenna، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2011
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 , Contingency table , Simultaneous Inference , McNemar’s test , Homogeneity
Journal title :
JOURNAL OF APPLIED STATISTICS
Journal title :
JOURNAL OF APPLIED STATISTICS