Articles by Daniel Lakens

ROPE and Equivalence Testing: Practically Equivalent?

February 12, 2017 | 0 Comments

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 ...
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Dance of the Bayes factors

July 18, 2016 | 0 Comments

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 ...
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Dance of the Bayes factors

July 18, 2016 | 0 Comments

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 ...
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One-sided F-tests and halving p-values

April 7, 2016 | 0 Comments

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 ...
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One-sided F-tests and halving p-values

April 7, 2016 | 0 Comments

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 ...
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The correlation between original and replication effect sizes might be spurious

January 29, 2016 | 0 Comments

In the reproducibility project, original effect sizes correlated r=0.51 with the effect sizes of replications. Some researchers find this hopeful.Less-popularised findings from the "estimating the reproducibility" paper @Eli_Finkel #SPSP2016 pic.twitter.com/8CFJMbRhi8— Jessie Sun (@JessieSunPsych) January 28, 2016I don’t think we should be interpreting this correlation at ...
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Power analysis for default Bayesian t-tests

January 14, 2016 | 0 Comments

One important benefit of Bayesian statistics is that you can provide relative support for the null hypothesis. When the null hypothesis is true, p-values will forever randomly wander between 0 and 1, but a Bayes factor has consistency (Rouder, Speckman, Sun, Morey, & Iverson, 2009), which means that as the sample size increases, the ...
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Power analysis for default Bayesian t-tests

January 14, 2016 | 0 Comments

One important benefit of Bayesian statistics is that you can provide relative support for the null hypothesis. When the null hypothesis is true, p-values will forever randomly wander between 0 and 1, but a Bayes factor has consistency (Rouder, Speckman, Sun, Morey, & Iverson, 2009), which means that as the sample size increases, the ...
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Error Control in Exploratory ANOVA’s: The How and the Why

January 1, 2016 | 0 Comments

In a 2X2X2 design, there are three main effects, three two-way interactions, and one three-way interaction to test. That’s 7 statistical tests.The probability of making at least one Type 1 error in a single ANOVA is 1-(0.95)^7=30%. There are earlier blog posts on this, but my eyes were not ...
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Plotting Scopus article level citation data in R

December 13, 2015 | 0 Comments

The Royal Society has decided to publish journal citations distributions. This makes sense. The journal impact factor is a single number trying to summarize a distribution, but it’s almost always better to plot your data. Somehave been hopeful that visualizing such distributions will make it clear what a troublesome ...
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