Non-parametric statistical tests are used for nominal and ordinal data. Nominal and ordinal data cannot be used for parametric statistical assessments. Analysing a nominal and ordinal variable - Introduction All ranking data, such as the Likert scales, the Bristol stool scales, and any other scales rated between 0 and 10, can be expressed using ordinal data. In Ordered Chi-square Testing for Independence, we describe how to perform similar testing when both factors are ordinal. Some questions use real-world examples to test your understanding of these concepts. Nominal-Ordinal Chi-square Test In Independence Testing, we describe how to perform testing for contingency tables where both factors are nominal. Reply: Use of Parametric Tests to Analyze Ordinal Data Correlation tests Non-parametric Tests-used for ordinal and nominal data; What is ratio data? Statistical Testing: How to select the best test for your data? 3a) Determine if the nominal variable has an effect on the ordinal by performing a Kruskal-Wallis H test. 1) Get an impression from the sample data by creating a cross table. PDF Measures of Nominal-Ordinal Association The tests discussed so far that use the chi-square approximation, including the Pearson and LRT for nominal data as well as the Mantel-Haenszel test for ordinal data, perform well when the contingency tables have a reasonable number of observations in each cell, as already discussed in Lesson 1. Spearman's Rank Correlation Coefficient Using Ordinal Data the resulting p-value may not be correct). A. The only thing that makes this one different from the rest is that ratio data has a true zero. Scales of Measurement and Presentation of Statistical Data
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