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ROPE and Equivalence Testing: Practically Equivalent?

February 12, 2017
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ROPE and Equivalence Testing: Practically Equivalent?

In a previous post, I compared equivalence tests to Bayes factors, and pointed out several benefits of equivalence tests. But a much more logical comparison, and one I did not give enough attention to so far, is the ROPE procedure using Bayesian estimation. I’d like to thank John Kruschke for feedback on a draft of this blog post. Check...

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Why Type 1 errors are more important than Type 2 errors (if you care about evidence)

December 18, 2016
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Why Type 1 errors are more important than Type 2 errors (if you care about evidence)

. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. After performing a study, you can correctly conclude there is an effect or not, but...

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TOST equivalence testing R package (TOSTER) and spreadsheet

December 9, 2016
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TOST equivalence testing R package (TOSTER) and spreadsheet

. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. I’m happy to announce my first R package ‘TOSTER’ for equivalence tests (but don’t worry,...

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Why Within-Subject Designs Require Fewer Participants than Between-Subject Designs

November 12, 2016
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Why Within-Subject Designs Require Fewer Participants than Between-Subject Designs

. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. One widely recommended approach to increase power is using a within subject design. Indeed, you...

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Dance of the Bayes factors

July 18, 2016
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Dance of the Bayes factors

You might have seen the ‘Dance of the p-values’ video by Geoff Cumming (if not, watch it here). Because p-values and the default Bayes factors (Rouder, Speckman, Sun, Morey, & Iverson, 2009) are both calculated directly from t-values and sample sizes, we might expect there is also a Dance of the Bayes factors. And indeed, there is. Bayes factors...

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Dance of the Bayes factors

July 18, 2016
By
Dance of the Bayes factors

You might have seen the ‘Dance of the p-values’ video by Geoff Cumming (if not, watch it here). Because p-values and the default Bayes factors (Rouder, Speckman, Sun, Morey, & Iverson, 2009) are both calculated directly from t-values and sample sizes, we might expect there is also a Dance of the Bayes factors. And indeed, there is. Bayes factors...

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Absence of evidence is not evidence of absence: Testing for equivalence

May 20, 2016
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Absence of evidence is not evidence of absence: Testing for equivalence

See the follow up post where I introduce my R package and spreadsheet TOSTER to perform TOST equivalence tests, and link to a practical primer on this topic.  When you find p __ 0.05, you did not observe surprising data, assuming there is no true effect. You can often read in the literature how p __ 0.05 is interpreted...

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Absence of evidence is not evidence of absence: Testing for equivalence

May 20, 2016
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Absence of evidence is not evidence of absence: Testing for equivalence

When you find p __ 0.05, you did not observe surprising data, assuming there is no true effect. You can often read in the literature how p __ 0.05 is interpreted as ‘no effect’ but due to a lack of power the data might not be surprising if there was an effect. In this blog I’ll explain how to...

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One-sided F-tests and halving p-values

April 7, 2016
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One-sided F-tests and halving p-values

After my previous post about one-sided tests, some people wondered about two-sided F-tests. And then Dr R recently tweeted: No, there is no such thing as a one-tailed p-value for an F-test. reported F(1,40)=3.72, p=.03; correct p=.06 use t-test for one-tailed.— R-Index (@R__INDEX) April 5, 2016I thought it would be useful to illustrate 1) why the default F-test...

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One-sided F-tests and halving p-values

April 7, 2016
By
One-sided F-tests and halving p-values

After my previous post about one-sided tests, some people wondered about two-sided F-tests. And then Dr R recently tweeted: No, there is no such thing as a one-tailed p-value for an F-test. reported F(1,40)=3.72, p=.03; correct p=.06 use t-test for one-tailed. — R-Index (@R__INDEX) April 5, 2016 I thought it would be useful to illustrate 1) why the default F-test...

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