New post @the100ci by me: I read two books on the alleged teen mental health crisis and social media's role in it, by @JonHaidt and by @drlucyfoulkes. Then, I tried to make up my own mind, with limited success.
Behind the first door of the 100% CI advent calendar is a new blog post by Julia! In which she hands out unsolicited writing advice -- with a focus on writing about technical topics in an accessible manner, but most of it is fairly general
New post! Many idiographically motivated papers in psych leave @dingding_peng unimpressed as they (1) fail to establish meaningful variation, (2) neglect unreliability at the individual level and/or (3) suffer from the usual estimand confusions
https://t.co/bZuLWKxe8q
New post! @dingding_peng argues that if you're a substantive researcher, you mainly do statistics to answer substantive research questions. So let's stop putting the statistical model first.
https://t.co/Eo2jaU6pSI
If an effect falls in a forest and no one is there to determine what's the mechanism, is it causal? New post in which @dingding_peng explains why causal effects are indifferent to mechanisms & why effect heterogeneity is the default. https://t.co/YsQ0CTVwFP
Should you argue about statistics? In this new blog post, @dingding_peng explains why it's futile. But you should still keep fighting! https://t.co/qbQY70uLlb
New post! @rubenarslan asks: Do we have a problem with construct and measure proliferation in psychology? It depends who you ask and it varies by subdiscipline. We respond to a recent piece by Iliescu et al. and try to find some common ground.
https://t.co/GyvdZoG0K1
New post on estimating the reliability of parameters in multilevel models. There's an easy solution using the standard errors of your shrunk parameters. It feels kind of obvious, but maybe it isn't sufficiently obvious yet.
https://t.co/ncuF88x1jj
New post! Have you been indifferent to invariance? @dingding_peng argues that measurement (non-)invariance gets a lot more interesting once you think about it from a causal perspective. https://t.co/SuuFmTekJI