I've been feeling increasing cognitive dissonance being on Twitter as the platform gets worse in so many ways. Feels like this 'X' rebrand is a sort of formal end to it all.

I'm going to try being on Mastodon instead for a while since I have an account. Maybe Bluesky someday.

The unofficial official Barbie theme, theme_barbie(), is now available on my GitHub: github.com/MatthewBJane/t…

Also comes with the scale_fill_barbie() for the gradient fill you see on the right. And hex color values like “text_color_barbie” for the text color you see below.

Keeping on the logistic regression theme, anybody out there use dominance analysis and pseudo-R2 as a logistic regression? I used it once before productively. The appeal of brute forcing an effect size solution in this area is palpable

psycnet.apa.org/record/2010-07…

I hate that odds ratios are asymmetrical. It's so brutal for interpretation. Like:

OR = 2.5
OR = 0.4

Same effect size, different direction. Attached picture shows a plot of how asymmetrical.

I can deal, but why did math have to do me dirty like this? I gotta teach this stuff.

BLOCKBUSTER SUMMER MOVIE TITLE!

For our next Quantitude summer fun contest, what would be a great quant/stat/academia-related name for a summer blockbuster movie? (Groan-worthy puns welcome.)

(Please post by Wednesday.)

So...hi! I don't really post here as often these days, but I find myself stuck in an airport with a delayed flight only to find out that an 'in-press' publication with my awesome coauthors Ed Kroc & Bruno D. Zumbo has come out. And this was a fun one! link.springer.com/article/10.375… 1/13

Cameron Patrick The way I reconcile these two is by thinking about the data as the product of a data generating process we designed ourselves. The mistake, as we say in a recent paper, is to assume 'that the data are generated by a natural mechanism and hence can reveal a ground truth.'

I am losing my mind at this post on Reddit. Apparently he was mishearing the phrase 'nice to meet you'.

Regarding my recent poll, what about this for a naming scheme?

Effect coding is an umbrella term for 'coding so the intercept is the grand mean'.

Sum (-1, 1) and deviation (0.5, -0.5) are examples of effect coding.

Pics below to disambiguate sum, deviation, and dummy codes.

What would you call this kind of coding scheme for a binary categorical variable:

-0.5 = Control
0.5 = Treatment

There seems to be massive inconsistency across published sources. I'm trying to find a consistent / most common term for it to use in my teaching.

Our early conversations for this study focused on how age confounds the stimulant-substance use link. Figure 1 from our paper (my original image below) shows that kids tend to stop using stimulants at about the same time as they begin experimenting with alcohol and drugs:
/4

'The Performance of RMSEA in Models With Small Degrees of Freedom'

journals.sagepub.com/doi/epub/10.11…

Students’ least favorite academic subjects ranked:

10) you
9) can’t
8) rank
7) them
6) because
5) individuals
4) like
3) different
2) things
1) Statistics

I sometimes get confused on Twitter when people seem to think that inferential statistical methods give us claims to truth.

Stats are useful ways to make guesses about uncertain/ unobservable phenomena via inductive reasoning. But you have to live in perpetual uncertainty.

Drunk statistics needs to be a new meme format. Explain some sort of statistical thing with no preparation, but only if you're very drunk🤣

Shitpost options for this poll:

Code as 8, but add a bunch more 8s so it's not an outlier.

Dox the participant, go to their house, and make them do it right this time.

*squint* it kinda looks like a 3 so let's go with that

NA, then ask chatgpt the to impute the missing value

I'm on an REB and have to review ethics applications pretty regularly.

If you're doing a survey, don't list a few 'sample questions' in your method, and then assume you get blanket approval to ask whatever later. You gotta like, know what the methods are before ethics approval.