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Master CDA and GLM applications
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Module 3
Analyzing Ordinal Categorical Data
1
Trend Tests vs. Chi-Square: When to Use Which
Explain when a trend test is more powerful and appropriate than a general chi-square test of independence.
2
Cochran-Armitage Trend Test: Hypotheses, Assumptions, and Application
Describe the Cochran-Armitage trend test: its hypotheses, assumptions, and application for ordinal-by-nominal tables.
3
Linear-by-Linear Association Test for Ordinal Tables
Explain the linear-by-linear association test and its application for ordinal-by-ordinal tables.
4
Cochran-Armitage and Linear-by-Linear Association Tests
Apply and interpret the results of both the Cochran-Armitage and linear-by-linear association tests to data.
Previous module
Testing for Independence in Contingency Tables
Next module
Analyzing Paired and Repeated Categorical Data