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chi-square test

Effect Size Statistics: How to Calculate the Odds Ratio from a Chi-Square Cross-tabulation Table

by Karen Grace-Martin Leave a Comment

Lest you believe that odds ratios are merely the domain of logistic regression, I’m here to tell you it’s not true.

One of the simplest ways to calculate an odds ratio is from a cross tabulation table.

We usually analyze these tables with a categorical statistical test. There are a few options, depending on the sample size and the design, but common ones are Chi-Square test of independence or homogeneity, or a Fisher’s exact test.

[Read more…] about Effect Size Statistics: How to Calculate the Odds Ratio from a Chi-Square Cross-tabulation Table

Tagged With: chi-square test, Crosstabulation, effect size statistics, odds ratio, probability

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Chi-Square Test of Independence Rule of Thumb: n > 5

by Audrey Schnell Leave a Comment

We all want rules of thumb even though we know they can be wrong, misleading or misinterpreted.

Rules of Thumb are like Urban Myths or like a bad game of ‘Telephone’.  The actual message gets totally distorted over time.
For example, you may have heard this one: “The Chi-Square test is invalid if we have fewer than 5 observations in a cell”.

[Read more…] about Chi-Square Test of Independence Rule of Thumb: n > 5

Tagged With: chi-square test, fisher exact test, rules of thumb, sample size, Yates correction

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  • Effect Size Statistics: How to Calculate the Odds Ratio from a Chi-Square Cross-tabulation Table

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 a Chi-Square Test and a McNemar Test

by Karen Grace-Martin 20 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

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How to do a Chi-square test when you only have proportions and denominators

by guest 31 Comments

by Annette Gerritsen, Ph.D.

In an earlier article I discussed how to do a cross-tabulation in SPSS. But what if you do not have a data set with the values of the two variables of interest?

For example, if you do a critical appraisal of a published study and only have proportions and denominators.

In this article it will be demonstrated how SPSS can come up with a cross table and do a Chi-square test in both situations. And you will see that the results are exactly the same.

‘Normal’ dataset

If you want to test if there is an association between two nominal variables, you do a Chi-square test.

In SPSS you just indicate that one variable (the independent one) should come in the row, [Read more…] about How to do a Chi-square test when you only have proportions and denominators

Tagged With: chi-square test, Proportion, SPSS

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Chi-square test vs. Logistic Regression: Is a fancier test better?

by Karen Grace-Martin 47 Comments

I recently received this email, which I thought was a great question, and one of wider interest…

Hello Karen,
I am an MPH student in biostatistics and I am curious about using regression for tests of associations in applied statistical analysis.  Why is using regression, or logistic regression “better” than doing bivariate analysis such as Chi-square?

I read a lot of studies in my graduate school studies, and it seems like half of the studies use Chi-Square to test for association between variables, and the other half, who just seem to be trying to be fancy, conduct some complicated regression-adjusted for-controlled by- model. But the end results seem to be the same. I have worked with some professionals that say simple is better, and that using Chi- Square is just fine, but I have worked with other professors that insist on building models. It also just seems so much more simple to do chi-square when you are doing primarily categorical analysis.

My professors don’t seem to be able to give me a simple justified
answer, so I thought I’d ask you. I enjoy reading your site and plan to begin participating in your webinars.

Thank you!

[Read more…] about Chi-square test vs. Logistic Regression: Is a fancier test better?

Tagged With: chi-square test, logistic regression

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