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Excited to share our preprint (w/ @siminevazire) on whether people know how they're acting in the moment. People (N = 248) know when they're being more or less extraverted, conscientious, & neurotic, but might not know when they're being jerks. 1/n https://psyarxiv.com/sg5aw/ pic.twitter.com/NmgutwOPrc
We measured self-perceptions of personality states using experience sampling (ESM) reports, and captured actual behavior by getting people to wear the Electronically Activated Recorder (EAR), which recorded 30 s sound snippets every 10 min for one week. 2/n
Our amazing research assistants then listened to these audio files and rated participants' personality states during the same hours as the ESM reports. To get reliable codings, this process took 5 years and 108 research assistants (six observers per participant). 3/n
Just read the whole thing and have to exercise a lot of self-control to not just download the data and have fun with it. Really cool and good discussion of the limitations too. Having recently conducted my first coding study I feel the pain too.
1 wish: have you tried doing the spaghetti plot without multiple colours but with transparency? I imagine it might look nicer and give better idea of the uncertainty. also, showing the dists of the variables might be cool (but maybe too much for one plot)
Great suggestion! Haven’t tried that, but open to it - do you have ggplot code?
here's an example (that I don't find particularly compelling looking at it again, but I'm just plotting random slopes, not raw data, so it's boring) https://rubenarslan.github.io/ovulatory_shifts/3_stan_brms_long.html#marginal-effects-by-person …
Do you think this makes things clearer? And any preference between blue vs. gray?pic.twitter.com/9nIP7hZ4hh
Nice! I didn't think the previous graph wasn't clear (some overplotting I guess), but I think these look much nicer :-) I prefer blue
Wow this looks cool, and what a rich dataset too! I’m a little surprised that there’s no non-zero agreeableness relationship — eyeballing from the graph, its strength doesn’t look very different from the neuroticism relationship
In fact the conclusion I’d draw from the graph (not looking at anything else) is that people have good insight into their moment-to-moment extroverted behavior but much less insight into everything else
Here are the standardized estimates: Basically, E > C > A = Npic.twitter.com/uRJ3nDc4Z3
Thanks! Looks like the conscientiousness relationship is stronger than I was inferring due to less overall variability in rated conscientious behavior than in rated extraverted (which I guess shows up in the graph ...)
Did you look at Openness to, or is that too difficult to measure with EAR?
Unfortunately, we didn't measure ESM openness in Wave 1 -- at the time, the team thought that the BFI openness items didn't translate well to a state measure (and changed their mind for later waves of the larger study!)
Great work, @JessieSunPsych and @siminevazire!
Thanks, Scott!!
why, why did that one have to be the one people are unaware of
Amazing work
I'm shocked, shocked to discover that people might not know when they are being jerks.
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