Statistics professor at @NorthwesternU, fellow at @IPRatNU. meta-analysis, causal generalization. @stats_tipton@toot.community
Nov 7, 2022 • 14 tweets • 3 min read
Does growth mindset work? Join me for a tale of two meta-analyses. @chrisjb1
MA1, by Macnamara and Burgoyne, says ‘no’. doi.org/10.1037/bul000…
MA2, by Burnette and colleagues, says ‘under some contexts, for some students.’ doi.org/10.1037/bul000…
If you know me, you know where this is going.
Jul 24, 2022 • 11 tweets • 2 min read
Buckle up friends, I’ve started writing commentaries about meta-analyses.
In this one, we argue that (1) the effect of nudges on average is small (d = 0.08), but (2) also very heterogeneous (+/- 1.0) across studies.
In contrast, the original article’s abstract says that “the effect” is d = 0.43. They conclude that this effect is essentially constant, noting that nudges “affect behavior relatively independently of contextual study characteristics...”
Aug 10, 2020 • 17 tweets • 3 min read
Lately I have spoken with several people interested in building systems to help policymakers and practitioners leverage research to improve their decision-making in education. This has made me think a lot about the difference between data and evidence. 1/17
Evidence is data+, meaning data plus analysis methods, research design, assumptions, uncertainty, theory, and expertise. Evidence is expensive, whereas data is not. And evidence is, by design, not available for every question whereas data may be. 2/17
