Jill A. Jacobson
doctorjaj.bsky.social
Jill A. Jacobson
@doctorjaj.bsky.social

Professor and Chair of the Social-Personality Psychology Program at Queen’s University, Canada.

Psychology 66%
Sociology 8%

Reposted by Jill A. Jacobson

Yep, collider bias is indirect range restriction. We discuss that a bit here files.osf.io/v1/resources...
files.osf.io

Reposted by Jill A. Jacobson

"Gender Biased Resistance to Harsh Feedback"

papers.ssrn.com/sol3/papers....
Experimental evidence that students are more likely to contest grades when they are delivered by an evaluator with a female-sounding name.

"These findings suggest that women in evaluative positions face disproportionate resistance when delivering negative assessments."

Reposted by Jill A. Jacobson

@bwiernik.bsky.social once alerted me to the fact that these things can be mapped onto each other — not sure what paper he linked, maybe this one? www.biz.uiowa.edu/faculty/fsch...
www.biz.uiowa.edu

Reposted by Jill A. Jacobson

The Ministry of Children, Community and Social Services/ministre des Services à l'enfance et des Services sociaux et communautaires in London is hiring a Psychologist/Psychologue agréé; psychologue agréée

Closing date: 2026/01/07

CPA Career Ads and Resources page: buff.ly/EBWTZQs

Reposted by Jill A. Jacobson

We are recruiting an Associate Professor of Statistics in the Department of Statistics, University of Oxford, in association with Jesus College.

Closing date: 19 January 2026

➡️ Details and application information: tinyurl.com/59tjt7m2

Reposted by Jill A. Jacobson

Funnily enough I just happened on this by chance while looking for something else...

Goldstein, Harvey (1968) "Longitudinal studies and the measurement of change" www.jstor.org/stable/2986775

Reposted by Jill A. Jacobson

Reposted by Jill A. Jacobson

This kind of argument is everywhere... link.springer.com/article/10.3...
Most evidence for the compensation account of cognitive training is unreliable - Memory & Cognition
Cognitive training and brain stimulation studies have suggested that human cognition, primarily working memory and attention control processes, can be enhanced. Some authors claim that gains (i.e., post-test minus pretest scores) from such interventions are unevenly distributed among people. The magnification account (expressed by the evangelical “who has will more be given”) predicts that the largest gains will be shown by the most cognitively efficient people, who will also be most effective in exploiting interventions. In contrast, the compensation account (“who has will less be given”) predicts that such people already perform at ceiling, so interventions will yield the largest gains in the least cognitively efficient people. Evidence for this latter account comes from reported negative correlations between the pretest and the training/stimulation gain. In this paper, with the use of mathematical derivations and simulation methods, we show that such correlations are pure statistical artifacts caused by the widely known methodological error called “regression to the mean”. Unfortunately, more advanced methods, such as alternative measures, linear models, and control groups do not guarantee correct assessment of the compensation effect either. The only correct method is to use direct modeling of correlations between latent true measures and gain. As to date no training/stimulation study has correctly used this method to provide evidence in favor of the compensation account, we must conclude that most (if not all) of the evidence should be considered inconclusive.
link.springer.com

Reposted by Jill A. Jacobson

McGill is hiring scholars from outside Canada! The Canada Impact+ Research Chairs (Impact+) Program is designed to attract world-leading researchers whose work addresses critical national and global challenges. Review of applications begins 1/16/26. www.mcgill.ca/research/res...
ECR looking for a change in the New Year?

We are recruiting a new Lecturer in Psychology at @birkbeckpsychology.bsky.social !

If you’d like to talk about life in the Department, please do feel free to get in touch.

Deadline 8th Feb - More details below 👇

cis7.bbk.ac.uk/vacancy/lect...
Lecturer in Psychology (2303) - Birkbeck, University of London
Birkbeck
cis7.bbk.ac.uk

Reposted by Jill A. Jacobson

Here's our University's

www.ualberta.ca/en/graduate-...
Generative AI: Graduate + Research Supervision
www.ualberta.ca

Reposted by Jill A. Jacobson

Any engagement (e.g. teaching) with MLM should (in my view) include consideration of this article:

Lucas, S. R. (2014). An inconvenient dataset: Bias and inappropriate inference with the multilevel model. Quality & Quantity, 48(3), 1619–1649. doi.org/10.1007/s111...
An inconvenient dataset: bias and inappropriate inference with the multilevel model - Quality & Quantity
The multilevel model has become a staple of social research. I textually and formally explicate sample design features that, I contend, are required for unbiased estimation of macro-level multilevel m...
doi.org

Reposted by Jill A. Jacobson

"Our analyses highlight that the United States and other English-speaking countries are not the most individualist cultures in the world...Instead, Northwest European countries rank highest on measures of individualism."

New work by @pakaliyski.bsky.social et al.

dx.doi.org/10.1037/pspp...

Reposted by Jill A. Jacobson

🚨 1-year Research Assistant position 🚨

I’m delighted to share that my lab at Cardiff University is now recruiting a 1-year Research Assistant to work on a Wellcome funded project on the impacts of loneliness and social isolation on adolescents.

krb-sjobs.brassring.com/TGnewUI/Sear...

Reposted by Jill A. Jacobson

E-values (big E) quantify how strong an unmeasured confounder needs to be to fully explain away a causal effect. If the E-value is large, only a very powerful confounder could negate the finding, so the result is more robust. Think sensitivity analysis pubmed.ncbi.nlm.nih.gov/28693043/
Sensitivity Analysis in Observational Research: Introducing the E-Value - PubMed
Sensitivity analysis is useful in assessing how robust an association is to potential unmeasured or uncontrolled confounding. This article introduces a new measure called the "E-value," which is related to the evidence for causality in observational studies that are potentially subject to confoundin …
pubmed.ncbi.nlm.nih.gov

Reposted by Jill A. Jacobson

Reposted by Jill A. Jacobson

Reposted by Jill A. Jacobson

Reposted by Jill A. Jacobson

Reposted by Jill A. Jacobson

Reposted by Jill A. Jacobson

Reposted by Jill A. Jacobson

Reposted by Jill A. Jacobson

Reposted by Jill A. Jacobson

Reposted by Jill A. Jacobson

this might be helpful? it is about linear regression models specifically, but I think the overall argument about the assumed interaction structure holds. www.cambridge.org/core/journal...
How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice | Political Analysis | Cambridge Core
How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice - Volume 27 Issue 2
www.cambridge.org
Dimensionality reduction may be the wrong approach to understanding neural representations. Our new paper shows that across human visual cortex, dimensionality is unbounded and scales with dataset size—we show this across nearly four orders of magnitude. journals.plos.org/ploscompbiol...

Reposted by Jill A. Jacobson

Work with us! We're inviting applications for Sessional Lecturers to teach courses in Winter Session Term 1 (Sep-Dec 2026), Winter Session Term 2 (Jan-Apr 2027) and Winter Session Term 1 – 2 (Sep 2026-Apr 2027). See courses below!

Apply: psych.ubc.ca/job-opportun...