The editor published corrections and does plan to retract.
retractionwatch.com/2026/03/03/c...
06.03.2026 08:51
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The editor published corrections and does plan to retract.
retractionwatch.com/2026/03/03/c...
This truly is a classic.
We recently submitted a commentary on a very influential meta-analysis. We found that: 1) 40% of relevant literature had not been identified because of lazy search, 2) a few large N included studies did not meet stated inclusion criteria, and 3) that almost all sig. moderator findings were wrong.
Congratulations to Ashlee Coles and colleagues on their recent publication highlighting important findings related to the prevalence of comorbid cannabis use disorder in veterans with PTSD and the adult general population with anxiety and related disorders.
Read more: shorturl.at/6e128
Final keynote and talk of the #PSE8 conference, by FrantiΕ‘ek BartoΕ‘, University of Amsterdam, talking about the idea of robustness reports.
Check out this recent paper from NeuroFog and AWE lab members exploring the prevalence of obsessions relating to harming oneself or others in OCD! It's more prevalent than many people realize.
Screenshot of the article titled "The prevalence and predictors of aggressive obsessions in obsessive-compulsive disorder: A meta-analytic review"
Congrats to Quinn Morris, Chelsea Lahey, Olivia Bishop, Concordia co-authors & Drs. Josh Rash, Jacqueline Carter, Jonathan Fawcett & Emily Fawcett on a new meta-analysis! They found that ~70% of people with OCD report aggressive obsessions in their lifetime. shorturl.at/tJS4n
New online-first in the Canadian Journal of Experimental Psychology:
'Effects of valence and list composition on memory predictions, performance, and beliefs'
- MacMillan, M. B., Churchill, L. A., & Hourihan, K. L.
buff.ly/0BGSGkb
Congrats to former NeuroFog member @noahpevie.bsky.social on his new measurement-y pre-print!
The 0.5.0 version of my {brms} + {tidyverse} translation of McElreath's "Statistical Rethinking" (2nd ed) is up!
solomon.quarto.pub/sr2/
1/3
#rstats
If you're a Clinician looking for a faculty position, or knows someone who is, have I got some great news for you! Memorial University is hiring 2 Open Rank positions! We're practically the North American gateway to Europe!
Getting my new slides in shape. I have it on good authority that the typeface I have chosen is "woke" (aka sans serif)
The 1.3.0 version of my {brms} + {tidyverse} translation of Kruschke's "Doing Bayesian data analysis" is up!
solomon.quarto.pub/dbda2
#rstats
1/8
Incremental development and testing: Black cat adoptions Even when we know the final statistical model that we want to use for inference, we should not try to write it directly. It is better to develop simpler, incremental models and test each with synthetic data. This helps us to avoid the frustration of trying to debug a complex model. Large models can and usually do fail in multiple ways, due to a poison salad\subjindex{poison salad} of coding errors, misspecification, and estimation challenges. % Being smart means working smart. By starting with a simple, minimal model and adding one feature at a time, we have a better chance of knowing which portion of the model code is responsible for an error, misspecification, or poor convergence. This case study builds the target statistical model in several steps, while using synthetic data simulation to help construct and test each incremental model. This helps us construct the model, notice and evaluate alternative implementations, and better understand how the model performs. This case study also provides an example of survival analysis with censoring. This kind of problem is commonplace---there are observations that are only partially observed, and we need to use all the information, even if only partial. Bayesian implementation provides two different ways to implement censored observations, by using cumulative distributions corresponding to the ordinary data model or by treating each censored value as partially observed and imputing it using the data model. Neither approach is always superior, and each helps us understand the model better. We'll show you both. Another benefit of this kind of example is the generative model of the sample and the statistical model necessarily differ. We often say Bayesian models are generative, they can be used to simulate observations. And that's true. But it isn't always true of every aspect of the model. In the case of censored values, the censoring is part of the observation mβ¦
Prior predictive distribution of waiting times for the first adoption model (without censoring). Each curve is a survival plot for an individual prior simulation. Black curves correspond to black cats. Orange curves correspond to all other cat colors.
Posterior predictive distributions of waiting times for the first adoption model (without censoring). Each curve is a survival plot for an individual posterior simulation. Black curves correspond to black cats. Orange curves correspond to all other cat colors.
Including the old black cat adoptions survival analysis example as a case study in the forthcoming Bayesian Workflow book. This is presented as a whole incremental workflow with simulation, validation, and model comparison. Just now went through code and extra-commented and cleaned. Getting close!
3/ I'm reminded of this excellent simulation study. Rigorous scientists have an added burden (harder to publish in top journals). People doing bad science also insist everyone else do bad science, with drives people away.
royalsocietypublishing.org/rsos/article...
2/ I often include simulations in my responses showing how resource-based stopping rules perform, and explaining details like how G*Power can't (easily) be used to calculate power for within/within interactions. Reviewers, please only ask for things you understand. Avoid methodological imperialism.
This. I often justify sample size based on resources (participants are rare here). Every review demands a priori power analysis. Then, most papers I read include incorrectly conducted and interpreted power analyses. Editors often don't care they are incorrect if told. Statistical rituals at work.
Screenshot of the article
New research from Drs. Jonathan Fawcett and Kathleen Hourihan, alumni Hannah Willoughby and Jenny Tiller, and team found that reading aloud triggers larger pupil dilation than reading silently, suggesting that speaking aloud enhances attention and encoding.
See full article:
shorturl.at/MRQRA
Screenshot of article
A meta-analytic review of 16 studies found that body dysmorphic disorder (BDD) symptoms were significantly more strongly correlated with symptoms of social media addiction than with the number of hours spent on social media per day.
Read more: doi.org/10.1080/1521...
Did you know your pupils get bigger when you're thinking harder? Are you interested in understanding why reading something aloud helps you remember it better? Check out this recent paper by multiple current and former NeuroFoggies using pupil dilation to study the production effect!
My Shiny app containing 3530 Open Science blog posts discussing the replication crisis is updated - you can now use the SEARCH box. I fixed it as my new PhD Julia wanted to know who had called open scientists 'Methodological Terrorists' :) shiny.ieis.tue.nl/open_science...
Very cool. Also strangely nostalgic. Surprised no one back in that era reframed the open science work as methodological counterterrorism!
Congratulations to former NeuroFoggies Brooke and @noahpevie.bsky.social on their recent paper (it is Brooke's inaugural first author paper)!
If you're interested in OCD, particularly aggressive obsessions, here is a new meta-analysis from NeuroFog and AWE lab members exploring the prevalence of such obsessions in youth! Proud of the hard work everyone put into this one.
Congratulations to Drs. Lindsey Cahill and Sohrab Zendehboudi on becoming members of the prestigious @src-rsc.bsky.socialβs College of New Scholars, Artists and Scientists! π We could not be prouder!
Read more about their backgrounds and research here: gazette.mun.ca/research/int...
Maliha Dew, a recent undergraduate honours recipient in @munpsych.bsky.social took home the Donald O. Hebb Student Award from the recent CSBBCS/ @exppsychsoc.bsky.social⬠conference in Dundee, Scotland!
Congratulations Maliha, and all the best in pursuing your Masters in Clinical Psychology! π§
I welcome the death of google scholar so that h-index can also die - a weird proxy metric ("the largest h such that h articles have at least h citations each") that become ubiquitous seemingly because some google engineer added it to a side project
It's like an episode of black mirror in which, instead of fixing the poisonous two-sided market that favors oligopoly publishers, funding orgs decide to try out *price controls*.
Our new meta-science collaboration on @lhb-apls.bsky.social, Statistical Reporting Practices within Forensic Psychology, under the lead of Dr. Joseph Eastwood, Dr. Kirk Luther @kirkluther.bsky.social, and Dr. Brent Snook. We examined the stats evolution of field over 20 years doi.org/10.1037/lhb0...
βThe extremity of this implicit rule needs to be recognized: academia, the industry whose main purpose is truth discovery, is surprisingly uncomfortable with people pointing out things that are not true.β