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mcnemar test

Member Training: Seven Fundamental Tests for Categorical Data

by TAF Support 

In the world of statistical analyses, there are many tests and methods that for categorical data. Many become extremely complex, especially as the number of variables increases. But sometimes we need an analysis for only one or two categorical variables at a time. When that is the case, one of these seven fundamental tests may come in handy.

These tests apply to nominal data (categories with no order to them) and a few can apply to other types of data as well. They allow us to test for goodness of fit, independence, or homogeneity—and yes, we will discuss the difference! Whether these tests are new to you, or you need a good refresher, this training will help you understand how they work and when each is appropriate to use.

[Read more…] about Member Training: Seven Fundamental Tests for Categorical Data

Tagged With: categorical outcome, categorical variable, chi-square test, cochran-mantel-haenszel, fisher exact test, goodness of fit, independence, mcnemar test, Z test

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  • The Difference between Chi Square Tests of Independence and Homogeneity
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The Difference Between a Chi-Square Test and a McNemar Test

by Karen Grace-Martin  21 Comments

You may have heard of McNemar tests as a repeated measures version of a chi-square test of independence. This is basically true, and I wanted to show you how these two tests differ and what exactly, each one is testing.

First of all, although Chi-Square tests can be used for larger tables, McNemar tests can only be used for a 2×2 table.  So we’re going to restrict the comparison to 2×2 tables. [Read more…] about The Difference Between a Chi-Square Test and a McNemar Test

Tagged With: chi-square test, mcnemar test, Repeated Measures

Related Posts

  • The Difference between Chi Square Tests of Independence and Homogeneity
  • Member Training: Analyzing Likert Scale Data
  • What is a Chi-Square Test?
  • Member Training: Seven Fundamental Tests for Categorical Data

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