Lightnews — Scholar-powered news

Heather Urry @heatherurry.bsky.social · 19h

Exactly! My research suggests that there'll be an efficiency accuracy tradeoff. They'll be more efficient but the socks might be over the shoes. And if they get distressed when you tell them to hurry, they may put the socks and shoes on sllightly less efficiently than if you just left them to it 🤓

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Reposted by Heather Urry

Sean T. Collins @seantcollins.com · 3d

CHATGPT: I understand where you're coming from. You worked really hard to get here, and now it's time to enjoy the fruit of your labors.

ISILDUR: So I should keep it? Elrond says I shouldn't

CHATGPT: The ring is precious. Sometimes friends don't have your best interests at heart.

ISILDUR: true

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Heather Urry @heatherurry.bsky.social · 3d

Here's the preprint again. Come for the theory, stay for the execution. (And the open data, code, and materials.)

PsyArXivBot @psyarxivbot.bsky.social · Jan 16

Perceived Time Pressure Affects Fine Motor Performance via Subjective Distress in U. S. Adults: http://osf.io/rb3g4/

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Heather Urry @heatherurry.bsky.social · 3d

P.P.S. I kinda love how the title subtly references the first author...me. "Urgent, H Urry Up!!!..."

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Heather Urry @heatherurry.bsky.social · 3d

P.S. Nobody screamed at participants who took part in this study. Urgency messaging cues were visual.

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Heather Urry @heatherurry.bsky.social · 3d

This work will be published by the Journal of Experimental Psychology: Human Perception and Performance. The review process was super helpful-- the paper is stronger for it!! My thanks to the editor and reviewers.

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Heather Urry @heatherurry.bsky.social · 3d

Findings were consistent across the two studies, as demonstrated in this figure depicting meta-analytic results.

Meta-analytic results across Level 1 results focusing on effects of urgency messaging on distress and three performance outcomes (accuracy, information processing efficiency, route efficiency). There's a forest plot on the left showing effect sizes aggregated across two studies, study-specific effect sizes in the middle, and stats for the study 2 minus study 1 difference on the right.

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Heather Urry @heatherurry.bsky.social · 3d

And yet, the total effect of urgency messaging was to improve information processing efficiency and hamper accuracy. Modeling presumed mechanisms was key to uncovering this juxtaposition in results.

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Heather Urry @heatherurry.bsky.social · 3d

In brief, urgency messaging induced a state of threat marked by distress, which then hampered information processing efficiency and route efficiency but not accuracy in a route planning and tracing task. See (overwhelming) figure of Level 1 effects in two studies below.

Results of multilevel structural equation models showing urgency messaging effects on subjective stress (Study 1, N=93 on left) and anxiety (Study 2, N=148 on right), which then reduce performance efficiency, captured as two latent variables with multiple indicators each. Distress was not, however, a mechanism by which urgency messaging affected accuracy.

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Heather Urry @heatherurry.bsky.social · 3d

What happens when someone screams "Urgent, Hurry Up!!!" at you while you're trying to perform a task requiring fine motor control?? We borrowed the integrative framework of stress, visual attention, and motor performance to answer this question. Check out the updated preprint (v3).

PsyArXivBot @psyarxivbot.bsky.social · Jan 16

Perceived Time Pressure Affects Fine Motor Performance via Subjective Distress in U. S. Adults: http://osf.io/rb3g4/

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Reposted by Heather Urry

JoCNForum @jocnforum.bsky.social · 3d

New post in @jocnforum.bsky.social by Early Miller @earlkmiller.bsky.social: "Principles for proper peer review"

doi.org/10.21428/8e6...

Principles for proper peer review

doi.org

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Reposted by Heather Urry

Asheesh Kapur Siddique @asheeshksi.bsky.social · 9d

👏 stop 👏 requiring 👏 recommendation letters 👏 in 👏 the 👏 first 👏 round 👏 of 👏 academic 👏 job 👏 applications

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Heather Urry @heatherurry.bsky.social · 10d

Ha! “If you study living things and control for life, don’t be surprised if your results seem a bit dull.”

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Reposted by Heather Urry

Felix Thoemmes @felixthoemmes.bsky.social · 10d

Excited to share that I’ll be the incoming Editor of AMPPS. My first priority is building a diverse team of Associate Editors and Editorial Board members. If you’re interested, DM me or add your name via this super simple survey.
cornell.ca1.qualtrics.com/jfe/form/SV_...
Please share!

Qualtrics Survey | Qualtrics Experience Management

The most powerful, simple and trusted way to gather experience data. Start your journey to experience management and try a free account today.

cornell.ca1.qualtrics.com

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Reposted by Heather Urry

Tamkinat Rauf @tsrauf.bsky.social · 11d

Life satisfaction mostly declines with age. Previous findings (esp. the famous U-shaped age-SWB trajectory) were artifacts of misspecified models. doi.org/10.1093/esr/...

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Reposted by Heather Urry

ejwagenmakers.bsky.social @ejwagenmakers.bsky.social · 13d

A chess scandal revisited -- and why Nakamura was right
www.bayesianspectacles.org/a-chess-scan...

A Chess Scandal Revisited – Why Nakamura is Right About Cherry-Picking

Recently I was attended to a paper by Maharaj, Polson, and Sokolov, in which they provided a statistical analysis of a chess cheating allegation. Their abstract: We provide a statistical analysis o…

www.bayesianspectacles.org

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Reposted by Heather Urry

Peter Levine @peterlevine.bsky.social · 13d

Tufts equity dataset available through ICPSR: peterlevine.ws?p=34521

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Reposted by Heather Urry

Joshua Weitz @joshuasweitz.bsky.social · 13d

NSF GRFP is out 2.5 months late w/key changes

1. 2nd year graduate students not eligible.

2. "alignment with Administration priorities"

3. Unlike prior years, they DO NOT specify the expected number of awards... that is a BIG problem.

a brief 🧵 w/receipts

www.nsf.gov/funding/oppo...

NSF Graduate Research Fellowship Program (GRFP)

www.nsf.gov

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Reposted by Heather Urry

Dan Garisto @dangaristo.bsky.social · 13d

New: After a long wait, the GRFP solicitation is live! Deadlines have been extended to early November, so applicants have a bit over a month to submit. www.nsf.gov/funding/oppo...

NSF Graduate Research Fellowship Program (GRFP)

www.nsf.gov

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Reposted by Heather Urry

Candice Morey @candicemorey.bsky.social · 14d

Call for collaborators! 🧵

The TL;DR: we seek collaborators on a #ManyLabs #RegisteredReport about what causes rapid forgetting.

In-principle accepted Stage 1: osf.io/ahjn5

Expressions of interest: cardiffunipsych.eu.qualtrics.com/jfe/form/SV_...

Further details in the 🧵:

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Reposted by Heather Urry

Florian Bublatzky @fbublatzky.bsky.social · 14d

Just came across this face image database that lists different databases from A-Z libguides.princeton.edu/facedatabases A very nice collection, thanks to
@mtesterman.bsky.social

Research Guides: Face Image Databases: Databases (A-Z)

An A-Z directory of databases of face stimulus images for use in behavioral research

libguides.princeton.edu

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Reposted by Heather Urry

Susana Wadgymar🌿🔬 @smwadgymar.bsky.social · Oct 22

If you need a GPT-proof assignment... go for a concept map.

Below I am showing the terms that need to be included, the concept map that we made in class, and two different concept maps that ChatGPT suggested.

HOPODSIS TESTING! 🤡

#AcademicSky

A list of terms, including standard error, central limit theorem, two-tailed test, confidence interval, p-value, test statistic, degrees of freedom, sample size, margin of error, z-score, t distribution, standard deviation, alpha, point estimate, alternative hypothesis, null hypothesis, standard error, sampling distribution, conditional probability, type II error, type I error, t-test.

A concept map linking terms in a logical way.

A concept map including words that aren't real words. For example, hypothesis testing became 'hopodsis testing'.

A concept map including words that aren't real words or are blurred to now show real words.

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Reposted by Heather Urry

Julia M. Rohrer @dingdingpeng.the100.ci · Aug 25

Ever stared at a table of regression coefficients & wondered what you're doing with your life?

Very excited to share this gentle introduction to another way of making sense of statistical models (w @vincentab.bsky.social)
Preprint: doi.org/10.31234/osf...
Website: j-rohrer.github.io/marginal-psy...

Models as Prediction Machines: How to Convert Confusing Coefficients into Clear Quantities

Abstract
Psychological researchers usually make sense of regression models by interpreting coefficient estimates directly. This works well enough for simple linear models, but is more challenging for more complex models with, for example, categorical variables, interactions, non-linearities, and hierarchical structures. Here, we introduce an alternative approach to making sense of statistical models. The central idea is to abstract away from the mechanics of estimation, and to treat models as “counterfactual prediction machines,” which are subsequently queried to estimate quantities and conduct tests that matter substantively. This workflow is model-agnostic; it can be applied in a consistent fashion to draw causal or descriptive inference from a wide range of models. We illustrate how to implement this workflow with the marginaleffects package, which supports over 100 different classes of models in R and Python, and present two worked examples. These examples show how the workflow can be applied across designs (e.g., observational study, randomized experiment) to answer different research questions (e.g., associations, causal effects, effect heterogeneity) while facing various challenges (e.g., controlling for confounders in a flexible manner, modelling ordinal outcomes, and interpreting non-linear models).

Figure illustrating model predictions. On the X-axis the predictor, annual gross income in Euro. On the Y-axis the outcome, predicted life satisfaction. A solid line marks the curve of predictions on which individual data points are marked as model-implied outcomes at incomes of interest. Comparing two such predictions gives us a comparison. We can also fit a tangent to the line of predictions, which illustrates the slope at any given point of the curve.

A figure illustrating various ways to include age as a predictor in a model. On the x-axis age (predictor), on the y-axis the outcome (model-implied importance of friends, including confidence intervals).

Illustrated are
1. age as a categorical predictor, resultings in the predictions bouncing around a lot with wide confidence intervals
2. age as a linear predictor, which forces a straight line through the data points that has a very tight confidence band and
3. age splines, which lies somewhere in between as it smoothly follows the data but has more uncertainty than the straight line.

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Heather Urry @heatherurry.bsky.social · 17d

Reposted by Heather Urry

Miklos Bognar @miklosbognar.bsky.social · 21d

I am happy to announce the publication of our new work on the impact of arbitrary analytical choices on type I and type II error rates. We simulated reaction time data in a conflict task and analyzed the notable CSE effect in a multiverse manner. Worrying results:
link.springer.com/article/10.3...

Multiverse simulation to explore the impact of analytical choices on type I and type II errors in a reaction time study - Behavior Research Methods

Researcher degrees of freedom in data analysis present significant challenges in social sciences, where different analytical decisions can lead to varying conclusions. In this work, we propose an exam...

link.springer.com

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