hardsci.wordpress.com
An open review of Many Labs 3: Much to learn – The Hardest Science
https://hardsci.wordpress.com/2015/03/12/an-open-review-of-many-labs-3-much-to-learn
An open review of Many Labs 3: Much to learn. March 12, 2015. March 12, 2015. A pre-publication manuscript for the Many Labs 3. A major goal was to examine whether time of semester moderates effect sizes, testing the common intuition among researchers that subjects are “worse” (less attentive) at the end of the term. But really, there is much more to it than that:. And perhaps less obviously, two significant effects — even in the same direction — can be very different. So the appropriate test. Is whether...
hardsci.wordpress.com
Statistics as math, statistics as tools – The Hardest Science
https://hardsci.wordpress.com/2014/12/04/statistics-as-math-statistics-as-tools
Statistics as math, statistics as tools. December 4, 2014. How do you think about statistical methods in science? Are statistics a matter of math and logic? Or are they a useful tool? Over time, I have noticed that these seem to be two implicit frames for thinking about statistics. Both are useful, but they tend to be more common in different research communities. And I think sometimes conversations get off track when people are using different ones. Frame 1 is statistics as math and logic. That traditio...
hardsci.wordpress.com
Is there p-hacking in a new breastfeeding study? And is disclosure enough? – The Hardest Science
https://hardsci.wordpress.com/2015/03/18/is-there-p-hacking-in-a-new-breastfeeding-study-and-is-disclosure-enough
Is there p-hacking in a new breastfeeding study? And is disclosure enough? March 18, 2015. March 18, 2015. There is a new study out about the benefits of breastfeeding on eventual adult IQ, published in The Lancet Global Health. It’s getting lots of news coverage, for example in NPR. A friend shared a link and asked what I thought of it. So I took a look at the article and came across this (emphasis added):. We present the one with the lower p value. From time to time students ask, Am I allowed to do.
hardsci.wordpress.com
What counts as a successful or failed replication? – The Hardest Science
https://hardsci.wordpress.com/2012/10/05/what-counts-as-a-successful-or-failed-replication
What counts as a successful or failed replication? October 5, 2012. Let’s say that some theory states that people in psychological state A1 will engage in behavior B more than people in psychological state A2. Suppose that, a priori, the theory allows us to make this directional prediction, but not a prediction about the size of the effect. Here’s the question: did Study 2 successfully replicate Study 1? My second problem is that we should always be putting theoretical statements to multiple tests. T...
alexanderetz.com
Statistics Diary | The Etz-Files
https://alexanderetz.com/statistics-diary
Blogging about science, statistics, and psychology. I’m going to write a diary entry every day, detailing a way in which I’ve thought about, interacted with, or discussed statistics. I’ve been inspired to do this by Andrew Gelman, here. Click the links below to read my deepest, most personal thoughts (about statistics and sometimes other related things). Click the different months to check it out, or you can pick one from the dropdown menu above. One thought on “ Statistics Diary. Enter your comment here.
alexanderetz.com
Statistics | The Etz-Files
https://alexanderetz.com/tag/statistics
Blogging about science, statistics, and psychology. New revision of How to become a Bayesian in eight easy steps. September 4, 2016. September 4, 2016. Quentin, Fabian, Peter, Beth and I recently resubmitted our manuscript titled “How to become a Bayesian in eight easy steps: An annotated reading list” that we initially submitted earlier this year. You can find an updated preprint here. This was quite a minor revision. The largest change to the paper. You’ll have to check out the paper. July 20, 2016.
alexanderetz.com
Fun Science | The Etz-Files
https://alexanderetz.com/category/fun-science
Blogging about science, statistics, and psychology. Understanding Bayes: Visualization of the Bayes Factor. August 9, 2015. November 15, 2015. In the first post. The likelihood is the workhorse of Bayesian inference. In order to understand Bayesian parameter estimation you need to understand the likelihood. In order to understand Bayesian model comparison (Bayes factors) you need to understand the likelihood and likelihood ratios. I’ve shown in another post. There’s that coin again. In that previous post.
alexanderetz.com
Alex Etz | The Etz-Files
https://alexanderetz.com/author/alexanderetz
Blogging about science, statistics, and psychology. Articles posted by Alex Etz. New revision of How to become a Bayesian in eight easy steps. September 4, 2016. September 4, 2016. Quentin, Fabian, Peter, Beth and I recently resubmitted our manuscript titled “How to become a Bayesian in eight easy steps: An annotated reading list” that we initially submitted earlier this year. You can find an updated preprint here. This was quite a minor revision. The largest change to the paper. July 20, 2016. There hav...
alexanderetz.com
January 2015 | The Etz-Files
https://alexanderetz.com/statistics-diary/january-2015
Blogging about science, statistics, and psychology. I had a discussion. I read a wonderful article. Today by EJ Wagenmakers and colleagues (Krypotos, Criss, and Iverson) detailing the effects of nonlinear transformations on different types of interactions (ordinal, crossover, etc). I wish they taught this in my stats classes! Then i read a blog post. The blog sparked a lot of discussion on Twitter. And lead us down the typical rabbit-hole that discussions of Bayesian statistics lend themselves to. In...
alexanderetz.com
July 2015 | The Etz-Files
https://alexanderetz.com/statistics-diary/july-2015
Blogging about science, statistics, and psychology. Richard Morey shared a new preprint. Also- Got invited to review another paper at JMP! So exciting.🙂 It’s like 40 pages long though…. Oh well, I’ll give it a thorough review and do my duty as a reviewer. And I’ll sign it! Joe Hilgard wrote a nice piece. Oh yeah, Chris Engelhardt # didthemath. On that wobbly chairs crap from Psych Science. BFs are all terribly weak and even support the null. I mean, you didn’t need to see the BFs for this ...A new paper...
