Discussion
RE: https://mastodon.social/@grimalkina/116581190573338371
I am keeping my promise and downloading this data right now. We will see if I make it through anything interesting.....we're having some turbulence on this flight :)
You can download the jetbrains survey raw data here! I will be downloading it for my flight to Toronto!!!
https://devecosystem-2025.jetbrains.com/#methodology-and-data
I should read this against the methodology page actually. I wish there were a script to quickly replicate their cleaning and weighting here, maybe that'll become clearer, because there's a lot of data cleaning choices listed at a high level. But that's ok we can make our own choices too!
not me staring at this dataset of survey weights trying to remember the last time I weighted responses
hmmmmmmmmmm not exactly a construct map in this folder, but we're going to guess that parent groups are the construct
A huge number of these items are characteristics: psychology measures are the most FUN though so let's try to find those
There are some items about emotional exhaustion, stress, and being overwhelmed, really curious what we could do with those
they highlight some national diffs like this that I'm really curious about
I feel like I'm going to have to download a vapoRwave theme though 😂
y'all if you are waiting on this thread to be something interesting CHECK BACK LATER, clearly this flight is just going to be me updating my packages and trying to figure out weird conflicts 😭
R, holding an extremely long cigarette in a cigarette holder, gazing out the window as I stand in the doorway with my hat in my hands: oh you're BACK? from your NEWSLETTER and KEYNOTES or whatever?
while R is being all "I'm not mad I'm just disappointed", I want to look back at the psychology measures in this survey. Something complicated here is some of these groups contain a more global mood ("I experienced feelings of low mood or sadness") but then there are specific attributions ("I feel overwhelmed by the constant need to learn and adapt to new technologies in my field"). You could feel overwhelmed by other things.
Think we need to think about collinearity here. This is where constructs are useful! Could be nice to use the global affect measure to group people and then compare some outcomes for subgroups. Some imposter syndrome-type measures here too which is potentially just interesting to map
@grimalkina if I ever dig myself out of my current piles of nonsense, I might suggest or try some CFA or MLM approaches. The wildly differing scopes of the questions about similar topics suggest maybe some insight (and dodging of milticollinearity) this way... Maybe
Also you probably already looked into this, so I should read the rest of the thread.
@guyjantic that would definitely be the principled/serious work thing to do. Industry survey constructs are all over the place (not always designed around explicit and well tested constructs)
@grimalkina I'm pretty sure I'm violating lots of important principles, but I find I kind of like trying to cobble together latent variables out of other people's measures that were not created with anything like that in mind.
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