The effect of changing scores for multi-way tables with open-ended ordered categories

Authors : Ayfer Ezgi YILMAZ, Tulay SARACBASI

Pages : 1881-1890

View : 14 | Download : 5

Publication Date : 2016-12-01

Article Type : Research Paper

Abstract :Log-linear models are used to analyze the contingency tables. If the variables are ordinal or interval, because the score values affect both the model significance and parameter estimates, selection of score values has importance. Sometimes an interval variable contains open-ended categories as the first or last category. While the variable has openended classes, estimates of the lowermost and/or uppermost values of distribution must be handled carefully. In that case, the unknown values of the first and last classes can be estimated firstly, and then the score values can be calculated. In the previous studies, the unknown boundaries were estimated by using interquartile range insert ignore into journalissuearticles values(IQR);. In this study, we suggested interdecile range insert ignore into journalissuearticles values(IDR);, interpercentile range insert ignore into journalissuearticles values(IPR);, and mid-distance range insert ignore into journalissuearticles values(MDR); as alternative to IQR to detect the effects of score values on model parameters.
Keywords : Contingency tables, Log linear models, Interval measurement, Openended categories, Scores