Drew Bailey

@drewhalbailey.bsky.social

education, developmental psychology, research methods at UC Irvine

Excited to share a new paper with @jfischman, just accepted at JEL. We argue that empirical research tends to be biased and overconfident due to a weakness in the dominant econometric framework: insufficient attention paid to humans “in the loop” with the research process. 1/

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This fetid landmark, this historical stain on humanity is primarily due to the stunningly reckless obliteration of America's foreign assistance agency earlier this year. Led by the richest man on earth. In secret, on a weekend. With zero analysis or discussion of its catastrophic impacts.

For First Time in Decades, Child Deaths Will Rise This Year

Almost a quarter of a million more children around the world are projected to die in 2025 than in 2024.

wsj.com

I used Paige’s first book in a class students with a wide range of previous exposure to and attitudes about behavior genetics, and they all seem to find it very interesting. Will probably try this one too!

Post nicht verfügbar.

Our paper "A fragmented field" has just been accepted at AMPPS. We find it's not just you, psychology is really getting more confusing (construct and measure fragmentation is rising). We updated the preprint with the (substantial) revision, please check it out. osf.io/preprints/ps...

Treemap showing measurement fragmentation across subfields in psychology. Hill-Shannon Diversity 𝐷=1626.05How often measures in the APA PsycTESTS database are (re)used according to the APA PsycInfo database: rarely, the majority are never reused.Our fragmentation index (Hill-Shannon diversity) over time across subdisciplines shows fragmentation rising.

I have seen lots of higher ed talks and papers in the last 10 years convincingly demonstrating that just making some cutoff (getting into a more selective college or major, not taking remedial classes) helps the marginal student. Great to see an emerging consensus. (1/2)

For every cause, x, there is some group of people (often disproportionately people who study x) who think the effects of x are way bigger than they are. Therefore, I think we are doomed to read (or worse, make) "Yeah, but the effect of x is small" takes forever.

I investigated how often papers' significant (p < .05) results are fragile (.01 ≤ p < .05) p-values. An excess of such p-values suggests low odds of replicability. From 2004-2024, the rates of fragile p-values have gone down precipitously across every psychology discipline (!)

Mix of Figures 2 and 4 from the paper

IN MEMORY OF LYNN FUCHS The field of special education lost a visionary and beloved leader with the passing of Lynn Fuchs on May 7, 2025. Her absence leaves a profound void—not only in our scholarly community, but in the hearts of all who had the privilege of knowing her. [ click reading below ]

In Memory of Lynn Fuchs

Email from CEC Division for Research May 12, 2025 In Memory of Lynn Fuchs The field of special education lost a visionary and beloved leader with the passing of Lynn Fuchs on May 7, 2025. Her absenc

conta.cc

Thanks to everybody who chimed in! I arrived at the conclusion that (1) there's a lot of interesting stuff about interactions and (2) the figure I was looking for does not exist. So, I made it myself! Here's a simple illustration of how to control for confounding in interactions:>

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Julia M. Rohrer@dingdingpeng.the100.ci · last yr.

Does anybody have a good visualization to explain how interactions can be confounded, and why interactions require interaction controls? @urisohn.bsky.social maybe? (Asking because I have an idea, but want to check out what exists already before investing the effort)

Starting to feel like "don't look at the coefficients, just calculate whatever metric is relevant to your research question" is a highly underappreciated stats hack and also I may have to get myself a marginaleffects T-shirt.

Incredibly excited to have this finally come out! Model evaluation should be about comparisons, so we have a metric that puts comparisons in predictive performance on a common scale. I can’t make a thread about this better than @crahal.com, so I’ll let him take it away.

Charlie Rahal@crahal.com · last yr.

1/5 📄✨ITS FINALLY HERE!📄✨. After _five_ years, our new model evaluation metric — The InterModel Vigorish (IMV) — is now published (@plosone.org). Paper: bit.ly/3RlqrQH Preprint: bit.ly/41LzGjm Code: github.com/intermodelvigorish ‘What’s the vig on this action?’ (bit.ly/4hPoZ3Z). ⬇️⬇️⬇️

Surreal read of the day: a paper using USAID-funded and now terminated Demographic & Health Surveys to count the huge number of lives saved by the now frozen US PEPFAR program to fight HIV, co-authored by current US admin’s nominee to lead cuts in health research jamanetwork.com/journals/jam...

HIV Development Assistance and Adult Mortality in Africa

To determine the effects of the US President’s Emergency Plan for AIDS Relief (PEPFAR), Bendavid and coauthors conducted analyses of adult mortality using person-level data from the Demographic and He...

jamanetwork.com

After a long wait, the working paper for the Many-Economists Project: The Sources of Researcher Variation in Economics. We had 146 teams perform the same research three times, each time with less freedom. What source of freedom leads to different choices and results? papers.ssrn.com/sol3/papers....

The Sources of Researcher Variation in Economics

We use a rigorous three-stage many-analysts design to assess how different researcher decisions—specifically data cleaning, research design, and the interpretat

papers.ssrn.com