Zachary Cohen

@depressionlab.bsky.social

assistant prof. Personalized Treatment Lab @uarizona clinical psychology, intervention science. Precision Mental Health/Digital Therapy. Dad+Husband. He/him.

Due to challenges with the current funding climate I won’t be reviewing clinical psych PhD applications this cycle. Sorry to miss out on the chance to mentor more amazing ECRs but hopefully things improve in the coming years.

Review of applications for tenure-track assistant professor position in @uarizona.bsky.social department of psychology (clinical area) begins Sept 1. Apply to join a fantastic department with truly wonderful colleagues and amazing students. arizona.csod.com/ux/ats/caree...

Assistant Professor, Clinical Psychological Science (T/TE)

The candidate will be expected to build and sustain an externally funded, nationally recognized research program.Provide effective instruction at the ...

arizona.csod.com

@lluaces.bsky.social with another banger! Thoughtful research design plus amazing writing equals another paper that will go on my lab’s required reading list.

Lorenzo Lorenzo-Luaces, PhD@lluaces.bsky.social · 3mo ago

1/ @sadcatlab.bsky.social research "in press" at Journal of Consulting and Clinical Psychology. In 274 adults with 7 weekly measurements, we find that cognitive change in CBT predicts subsequent symptom change, controlling for time-invariant confounds + linear trends osf.io/preprints/ps...

Those of us who were trained at CTSA by Edna Foa will be very familiar with this. I love Exposure and Response Prevention (ERP)! I've licked the bottom of my shoe many times when working with OCD (and still do it 2x per year when I teach my undergrad and graduate courses on CBT). And much more...

Aaron Fisher@aaronjfisher.bsky.social · 4mo ago

Just grabbed the doorknob and licked the palm of my hand for the benefit of a therapy client. That's what you call dedication!

What to do when #AI meets #OpenScience? @stokel.bsky.social spoke to me & other colleagues about this pressing issue for this @nature.com article. @drandreahoward.bsky.social @katiecorker.bsky.social @miriforbes.bsky.social @debruine.bsky.social

Chris Stokel-Walker@stokel.bsky.social · 4mo ago

My latest for @nature.com looks at the challenge researchers are facing thanks to bots scraping their data uploaded alongside their research - and what they think ought to be done about it www.nature.com/articles/d41...

We just got approved to hire a teaching professor in Quantitative Methods! This is the *very* rare tenure track teaching position at Berkeley. I'll be chairing the search committee. Official job ad coming later this summer!

NHS data should be driving innovation & improvement – it’s an amazing resource We just published the sequel to our 2021 "Road to Hell" paper on using NHS data for research... things are worse! Buckle up for a long 🧵about *how COMPLETELY mad* system is for accessing NHS data for research 1/20

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Selecting an effect size for power analysis is hard. Many researchers fall back on Cohen's thresholds, but they have no empirical basis and vary wildly by field. Our new paper offers a better option: field-specific effect size distributions built from meta-analytic data doi.org/10.3758/s134...

Abstract
Effect sizes are useful for understanding the magnitude of study results and for planning new studies via power analysis.
However, despite their wide usage, effect sizes are often misinterpreted. This is mostly due to an over-reliance on general
effect size benchmarks that were not intended for broad application across diverse research fields. Inaccurate effect size
interpretations can lead to incorrect conclusions about the magnitude of study results and incorrect sample size estimates,
thereby increasing the likelihood of false-positive results. This article introduces the ESDist R package, which is designed
to calculate empirically derived effect-size benchmarks or a range of reliably detectable empirical effect sizes for a specific
research question or field of interest by computing effect size distributions (ESDs). This package can be used on data that
can be easily extracted from pre-existing meta-analyses to help researchers more accurately plan new studies or to better
understand how an individual study might relate to other studies in their field. ESDist includes a set of features that make it
easy to use in a priori power analysis. Moreover, the package includes a feature for estimating effect size benchmarks that
account for publication bias and are weighted by effect sizes' variances, which addresses existing limitations of using ESDs
for study planning or interpretation.

Cuts to scientific research will have effects for years to come. @standupforscience.bsky.social has been an important voice connecting scientists & all of us. @cdelawalla.bsky.social leads that group, & her latest post is a call to action to restore funding 👇🏿👇🏼👇🏾👇🏻👇🏽 substack.com/home/post/p-...

Scientists, it's time to pay your taxes.

This arrangement—where a small number of dedicated scientist activists fight for the whole of the ecosystem—isn’t sustainable.

substack.com