tag:blogger.com,1999:blog-987850932434001559.comments2017-03-23T07:45:45.975-07:00The 20% StatisticianDaniel Lakensnoreply@blogger.comBlogger729125tag:blogger.com,1999:blog-987850932434001559.post-48513797920112477872017-03-23T07:45:45.975-07:002017-03-23T07:45:45.975-07:00Wait, if that were the case, then wouldn't the...Wait, if that were the case, then wouldn't the formula not work for any dichotomous predictor? As DF effect -1 would be 0? Kyle Morrisseyhttp://dogsbody.psych.mun.ca/rcdmc/Site/Kyle_Morrissey.htmlnoreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-43551346252237288942017-03-22T09:14:14.818-07:002017-03-22T09:14:14.818-07:00Hey, out of curiosity, what about in cases where y...Hey, out of curiosity, what about in cases where you are using an ANOVA with either one or multiple predictors? Kyle Morrisseyhttp://dogsbody.psych.mun.ca/rcdmc/Site/Kyle_Morrissey.htmlnoreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-86129962321634626542017-03-20T07:43:41.380-07:002017-03-20T07:43:41.380-07:00It is very interesting!
It is very interesting!<br />Beltranslationshttp://beltranslations.com/english/noreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-60508898282575328042017-03-18T00:34:17.709-07:002017-03-18T00:34:17.709-07:00Hi, as mentioned above in a comment, I'm not s...Hi, as mentioned above in a comment, I'm not sure - If I have time I'll work out this post into something a bit more complete. Daniel Lakenshttp://www.blogger.com/profile/18143834258497875354noreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-1136101265879551432017-03-17T14:13:51.559-07:002017-03-17T14:13:51.559-07:00Hi Daniel,
Can I use your spreadsheet linked here...Hi Daniel,<br /><br />Can I use your spreadsheet linked here to calculate omega squared for a repeated measures ANOVA or is this only for one-way ANOVA. If the latter, do you know of a resource for calculating omega squared for a repeated measures ANOVA (specifically a 2x2x2 design)?<br /><br />Thanks much in advance for your time<br /><br />RachelAnonymousnoreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-415659904369788792017-03-17T07:43:15.283-07:002017-03-17T07:43:15.283-07:00Selling your home can be really difficult as there...Selling your home can be really difficult as there are a lot of things involved. The problem further increases when you want to sell it for fast cash. Finding someone ready to purchase your home for fast cash can be difficult. sellyourhousefastforcashdallas.com can help simplify sell of your home for fast cash in Dallas, Texas. <br /><a href="sell%20your%20house%20fast%20for%20cash" rel="nofollow">http://sellyourhousefastforcashdallas.com/</a>Sourabh ALWhttp://www.blogger.com/profile/01657999587531037909noreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-10676715493845351482017-03-14T09:49:39.857-07:002017-03-14T09:49:39.857-07:00Nice package (ahem). Thanks for providing that. I ...Nice package (ahem). Thanks for providing that. I did find one small issue you might want to consider changing. When I used the sample Tooth Growth data set that comes with jamovi, the summary Equivalence Bounds table gave a raw difference that was negative, but the optional plot shows a positive difference. That also made the TOST results confusing, because it showed an Upper test that was significant while the Lower wasn't - the opposite of what the graph suggested. I did figure it out once I looked at the second table, but a consistent direction of the difference would make things easier on the user. Very helpful, though, in running those tests!Alistair Cullumhttp://www.blogger.com/profile/16193690419324782781noreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-67682344856790757692017-03-12T13:16:46.160-07:002017-03-12T13:16:46.160-07:00My links keep getting screwed up, sorry. Try that...My links keep getting screwed up, sorry. Try that again: <a href="https://shiny.rstudio.com/" rel="nofollow"> Shiny </a> and <a href="https://plot.ly/" rel="nofollow"> Plotly </a>.object_of_classhttp://www.blogger.com/profile/01070326947502711226noreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-43635232221345270072017-03-12T13:12:12.154-07:002017-03-12T13:12:12.154-07:00Reposted with correct html below.
I made it with ...Reposted with correct html below.<br /><br />I made it with <a href="https://shiny.rstudio.com/Shiny" rel="nofollow"> Shiny </a> and <a href="https://plot.ly/Plotly" rel="nofollow"> Plotly </a>. <br /><br />I'm a student getting my MS in statistics this spring. I saw your post linked from <a href="https://www.reddit.com/r/statistics/" rel="nofollow"> reddit/r/statistics </a>object_of_classhttp://www.blogger.com/profile/01070326947502711226noreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-31220104195478669922017-03-12T13:06:57.156-07:002017-03-12T13:06:57.156-07:00Try looking at this on the log-likelihood scale ,...Try looking at this on the <a href="https://object-of-class.shinyapps.io/logLRplot" rel="nofollow"> log-likelihood scale </a>, since we're talking about ratios. <br /><br />object_of_classhttp://www.blogger.com/profile/01070326947502711226noreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-10860592515536829272017-03-12T12:58:08.888-07:002017-03-12T12:58:08.888-07:00This is great! Who are you? How did you make this?...This is great! Who are you? How did you make this? Daniel Lakenshttp://www.blogger.com/profile/18143834258497875354noreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-4846207334563138332017-03-12T12:55:09.339-07:002017-03-12T12:55:09.339-07:00This comment has been removed by the author.object_of_classhttp://www.blogger.com/profile/01070326947502711226noreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-83742442613960591282017-03-10T16:06:56.222-08:002017-03-10T16:06:56.222-08:00"They show another example of when p-values l..."They show another example of when p-values lead to bad inferences, namely when there is no effect, we do 20 studies, and find 2 significant results (which are Type 1 errors)."<br /><br />Are they just saying that if significance tests are run ignoring multiple testing and selection effects, then it's easy to get spurious statistical significance? That's what Ioannidis argues elsewhere. Unbelievable.<br /><br />"Let's define 'support for the null-hypothesis' as a BF < 1.". But BFs never give support for a hypothesis, only comparative support,and since data dependent selections of hypotheses and priors are permitted,there is no error control. <br /><br />Deborah Mayohttp://www.blogger.com/profile/06527423269272136310noreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-36023167012324878812017-03-07T03:16:00.254-08:002017-03-07T03:16:00.254-08:00After an additional comment about this, I've c...After an additional comment about this, I've changed the text to "and that the possibility that the effect is large enough to matter can not be rejected," - thanks for the feedback!Daniel Lakenshttp://www.blogger.com/profile/18143834258497875354noreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-12809134149680279702017-03-06T19:14:10.641-08:002017-03-06T19:14:10.641-08:00Thanks for the clarification.Thanks for the clarification.Alistair Cullumhttp://www.blogger.com/profile/16193690419324782781noreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-29172631211790685152017-03-06T12:57:32.815-08:002017-03-06T12:57:32.815-08:00Hi Alistair - glad you like the approach - o do I....Hi Alistair - glad you like the approach - o do I. It's simple and efficient! You are asking a question about confirmation VS rejection. Indeed, in scenario B we can only reject the null, not accept a d = 0.5. But we can not reject a d = 0.5 (or d = -0.5). So it would be better to say 'and possibly large enough to matter'. Daniel Lakenshttp://www.blogger.com/profile/18143834258497875354noreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-15937619718460810772017-03-06T11:54:07.298-08:002017-03-06T11:54:07.298-08:00I really like this approach to testing, since it d...I really like this approach to testing, since it does provide much more information than a single NHST result. I am wondering though about one conclusion. You write "We can only conclude the effect is significant, and large enough to matter, under pattern B." But in scenario B it still looks most likely that the effect size is still below the size of d = 0.5 that's of interest. The effect *could* be large enough to be of interest, but I'd only feel confident concluding that it likely was that big if the mean was above 0.5 and the CI didn't include 0.5. Are we really interested in demonstrating that the effect size is likely as big or bigger than the one of interest, or simply that it's not statistically smaller than it?Alistair Cullumhttp://www.blogger.com/profile/16193690419324782781noreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-441846222219463242017-03-03T21:47:51.454-08:002017-03-03T21:47:51.454-08:00Hi Jay, what you are describing is statistically e...Hi Jay, what you are describing is statistically equivalent to combining TOST and NHST. See my explanation in the preprint. Daniel Lakenshttp://www.blogger.com/profile/18143834258497875354noreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-37010238541348130832017-03-03T21:11:22.421-08:002017-03-03T21:11:22.421-08:00Regarding performing both a test of the null hypot...Regarding performing both a test of the null hypothesis that the effect is 0 and an equivalence test that the effect is, say, < |.5| seems to suggest that the investigators are confused. If they believe that effects < |.5| are equivalent to 0 for all practical purposes, then why would they care about whether the null hypothesis that the effect is 0 is rejected? because, clearly, rejecting that null would not imply that the effect size is not large enough to be considered different from 0 for all practical purposes. <br /><br />Instead, it seems to me what would matter is whether the confidence or credible interval were (a) entirely within the equivalence limits, (b) entirely outside the equivalence limits, or (c) straddling an equivalence limit. From case (a) we would infer equivalence; from case (b) we would infer superiority; and case (c) would be indeterminate.Jayhttp://jt512.dyndns.orgnoreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-51568226669919092792017-02-24T02:45:43.789-08:002017-02-24T02:45:43.789-08:00Thank you!!!
EnricoThank you!!!<br /><br />EnricoEnrico Glereanhttp://www.blogger.com/profile/16674832915668714617noreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-33980430465458071442017-02-24T02:33:28.078-08:002017-02-24T02:33:28.078-08:00Yes, it should be possible - either take the 90% C...Yes, it should be possible - either take the 90% CI approach, or use dedicated software: https://ncss-wpengine.netdna-ssl.com/wp-content/themes/ncss/pdf/Procedures/NCSS/Testing_Equivalence_with_Two_Independent_Samples.pdf - might program it into the package in the future!Daniel Lakenshttp://www.blogger.com/profile/18143834258497875354noreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-54827849002343792552017-02-24T01:54:17.588-08:002017-02-24T01:54:17.588-08:00Thank you for this! It has been very useful in a p...Thank you for this! It has been very useful in a paper we are finalising. Quick question: is there a TOST equivalent for Likert-type data (e.g. sign rank test instead of t-test)? Would it be enough to convert likert scores to ranks?<br /><br />Here something similar I have found: http://stats.stackexchange.com/questions/52897/equivalence-tests-for-non-normal-data<br /><br />Enrico Glerean, www.glerean.comUnknownhttp://www.blogger.com/profile/16674832915668714617noreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-77426187198278461582017-02-21T09:46:05.369-08:002017-02-21T09:46:05.369-08:00I sat in my lounge room in Australia watching a do...I sat in my lounge room in Australia watching a documentary that was telling the story of a young Rohingya girl. https://www.fiverr.com/sabakhan695<br />john smithhttp://www.blogger.com/profile/07655303417027257101noreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-73946100180359827062017-02-20T03:49:03.157-08:002017-02-20T03:49:03.157-08:00Really nice blog shared. Keep sharing more updates...Really nice blog shared. Keep sharing more updates with us.<br />plots near tcs indorehttp://www.blfbhumi.com/about-us/noreply@blogger.comtag:blogger.com,1999:blog-987850932434001559.post-75588939157686237212017-02-16T13:25:37.173-08:002017-02-16T13:25:37.173-08:00Thanks for this interesting blog post, Daniel. I&#...Thanks for this interesting blog post, Daniel. I've created a follow-up that shows cases in which TOST+NHST yield conflicting decisions, which can never happen with the HDI+ROPE procedure. It's here: http://doingbayesiandataanalysis.blogspot.com/2017/02/equivalence-testing-two-one-sided-test.htmlJohn K. Kruschkehttp://www.blogger.com/profile/17323153789716653784noreply@blogger.com