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The Transformation of Ordinal Scale for Parametric Statistic Analysis on Dental Health Questionnaire
Questioner Measurement is very cuatomize, it means that researchers make very individual based on the aim of the research, Frequently, the results of questioner measurements are numeric rank and index or both of them. Numeric rank and indexare categorical data. Beside of validity problems, they have and analytical problem as well. So, they need transformation to scale type (ratio, interval) data in order to minimize their problem. This article reveiws the effectiveness of two type data transformation in dental health research measurement. There are two type data transformations, i.e. interval equivadencyand sum of rating transformation method. Interval equivelency transformation method is more effective for the data comefrom index, and sum of rating transformation method is more effective for the data come from numeric runk.
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