https://xitter.cf/t.co/Fr8OLqq2in - Always confident. Sometimes credible. @annemscheel @rubenarslan @maltoesermalte @dingding_peng (25% each)
Joined January 2017
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The 100% CI retweeted
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.
ALT The Hare-Brained Generation: Teen mental health crisis or lacklustre record keeping?
New post on the 100% Christmas Interval -- after almost 8 years, it's time that we finally talk about CIs.
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
the100.ci/2024/10/28/idiogra…
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.
the100.ci/2024/08/27/lets-do…
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. the100.ci/2024/06/26/sometim…
Should you argue about statistics? In this new blog post, @dingding_peng explains why it's futile. But you should still keep fighting! the100.ci/2024/04/13/is-inse…
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.
the100.ci/2024/03/22/oooh-ba…
New post by @rubenarslan, but not on @the100ci because he was too lazy to transfer the Latex formulas to Wordpress.
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.
rubenarslan.github.io/posts/…
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. the100.ci/2024/01/10/a-casua…
This is the kind of impact not measured by the h-index.
the100.ci/2017/11/23/stupid-…
