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Maureen Craig

@mocraig.bsky.social
2.5K followers 457 following 28 posts

Social psychologist investigating how people navigate diverse and inequitable contexts.

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Reposted by Maureen Craig
Tobias Gerstenberg @tobigerstenberg.bsky.social · 03/09/2026
The Stanford Psychology Department is having a search for a tenure-track Assistant Professor with a research focus on developmental and/or social psychology. Application deadline is 10/15. More infos here: facultypositions.stanford.edu/jobs/assista...
facultypositions.stanford.edu
Assistant Professor, Psychology - Stanford University, California, United States
The Department of Psychology at Stanford University is seeking applicants for a tenure-track Assistant Professor position, with a research focus on developmental and/or social psychology. In addition ...
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Drew Engelhardt @amengel.bsky.social · 18/08/2026
Working on a dissertation in American political behavior and need money for survey research? Apply for a grant worth up to $15,000 from the Rapoport Family Foundation. They’re planning on awarding up to 15 grants this cycle. Deadline Oct. 21. www.rapoportfamilyfoundation.com/phdgrant
rapoportfamilyfoundation.com
Rapoport Doctoral Dissertation Grants
Supporting projects for PhD students doing political science research, democracy and social justice.
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Nature Human Behaviour @nathumbehav.nature.com · 22/06/2026
Representativeness and response validity across nine opt-in online samples
dlvr.it
Representativeness and response validity across nine opt-in online samples
Nature Human Behaviour, Published online: 22 June 2026; doi:10.1038/s41562-026-02438-zStagnaro et al. compare nine opt-in participant samples on measures of response validity, representativeness and professionalism. They find substantial variation across samples and offer guidance for choosing samples based on the research question.
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Linda Skitka @lindaskitka.bsky.social · 24/06/2026
🧵 New paper out in JPSP: Morality Cut Both Ways. Can reading facts make you moralize an issue — or lose a moral conviction? We ran 6 studies, 4,464 participants. The results were surprising. 👇 #MoralPsychology #Attitudes. @icedteas.bsky.social 1/8
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Nature Portfolio @natureportfolio.nature.com · 23/05/2026
Scientific figures can strongly influence how research findings are interpreted. This ‘How to’ Comment article in Nature Human Behaviour outlines a practical strategy for creating figures that communicate clearly across audiences and scientific contexts. go.nature.com/3R00b1t #Academicsky 🧪
This is figure 1, which shows key steps in producing an effective scientific figure.
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Julia M. Rohrer @dingdingpeng.the100.ci · 22/04/2026
Good news everyone 🥳 Our (w @vincentab.bsky.social) primer on models as prediction machines (with the marginaleffects package) is finally officially published!> journals.sagepub.com/doi/10.1177/...
journals.sagepub.com
Models as Prediction Machines: How to Convert Confusing Coefficients Into Clear Quantities - Julia M. Rohrer, Vincent Arel-Bundock, 2026
Psychological researchers usually make sense of regression models by interpreting coefficient estimates directly. This works well enough for simple linear model...
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Berna Devezer @devezer.bsky.social · 30/04/2026
📣 The difference between replicable and not replicable is not itself scientifically replicable. 📣 New work with Erkan Buzbas, showing that verdicts such as "X% of results replicated" are based on an inferential machinery that doesn't work. arxiv.org/abs/2604.26268
Screenshot of a paper's title page. Title: "The Difference Between 'Replicable' and 'Not replicable' is not Itself Scientifically Replicable". Authors: Berna Devezer and Erkan O. Buzbas, both at the University of Idaho — Devezer in the Department of Business and the Institute for Modeling Collaboration and Innovation, Buzbas in the Department of Mathematics and Statistical Science. Authors contributed equally. Corresponding author: bdevezer@uidaho.edu.
Abstract: Replication studies estimate the replicability rate of scientific results by aggregating binary verdicts of experiments. Exact replications are rarely attainable, so most replication sequences are non-exact. Experiments differ in ways that matter and do not share a single common data-generating process. We formalize two statistical interpretations of this non-exactness. In a shared latent rate model (benchmark), experiments are exchangeable and depend on a common random replicability rate. In a conditionally independent rates model (operational), each experiment has its own replicability rate drawn independently from a population distribution. Under the shared latent rate model, even small variability among replicability rates induces an irreducible variance floor on the estimated mean replicability rate that cannot be eliminated by adding more replications. Under the conditionally independent rates model, the degree of non-exactness is not identifiable from standard replication data, because one binary verdict per experiment contains no information about between-experiment heterogeneity. Researchers therefore cannot tell which precision regime they are operating in or whether high- and low-replicability sequences can be distinguished in principle. As a result, the usual data structure of one binary verdict per experiment cannot support reliable demarcation between "replicable" and "not replicable" results and systematically understates uncertainty, making high- and low-replicability sequences appear discrim…
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Dan Quintana @dsquintana.bsky.social · 29/04/2026
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.
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Andrew Trexler @atrexler.com · 24/04/2026
Thrilled to announce my paper with @dianamejordan.bsky.social & sky-less Trent Ollerenshaw is now published open-access at @apsrjournal.bsky.social. In a (very) large replication & extension, we show that design effects of repeated measure experiments are nonzero but typically small. Thread:
Abstract for "New Evidence and Design Considerations for Repeated Measure Experiments in Survey Research" by Diana Jordan, Trent Ollerenshaw, and Andrew Trexler, published in the American Political Science Review. The abstract text reads: "We re-examine recent influential claims that repeated measure experimental designs offer large precision gains without biasing treatment effect estimates in survey research. We test these claims by experimentally varying the design of six classic political science experiments across three distinct large samples of U.S. adults (total N = 13,163). In contrast to prior evidence, we observe consistent attenuation of treatment effects in repeated measure designs. However, we show in simulations that this average design effect is small enough, and the precision gains large enough, that we recommend repeated measure designs for broad application—though (large-N) post-only designs may be preferable when research priorities include estimating the precise magnitude of a treatment effect. We additionally explore how several design considerations affect the bias-precision trade-off, such as within-subject versus between-groups designs, the relative separation of repeated measures within single surveys, and differences in respondent characteristics across sample types."
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Dan Garisto @dangaristo.bsky.social · 23/04/2026
NEW: NSF has been funding research at a fraction of its historic rate. Last week, the agency finally began distributing money to its directorates and is now likely to pick up the grantmaking pace. But these allocations also amount to substantial cuts across the sciences. My reporting:
nature.com
Delays have kept new NSF grants to a trickle — that could be about to change
The agency is finally ready to distribute a spate of new grants, but it is also preparing substantial cuts to areas such as biological and social sciences.
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Riana Brown @rrrianabrown.bsky.social · 20/04/2026
My lab (u.osu.edu/spal/) and Ken Fujita’s lab (u.osu.edu/fujita/) at OSU are hiring a joint lab manager (a full-time postgraduate researcher) to start this summer! Come work in two incredibly fun labs in a thriving social psychology department. Application and more information soon to come!
spalab.osu.edu
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Center for Advanced Study in the Behavioral Sciences, Stanford @casbsstanford.bsky.social · 09/04/2026
CALL FOR APPLICATIONS | 2026 Summer Institute in AI Methods for Social Scientists (AIMS) July 26-31 | Application deadline: May 8 AIMS brings together scholars from across the social sciences for a week of learning, practice & collaboration at CASBS. AIMS DETAILS and APPLICATION: bit.ly/4muwstd
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Lisa Fazio @lkfazio.bsky.social · 06/04/2026
Concerned about the possible dismantling of the Social, Behavioral, and Economic Directorate of NSF?? www.nature.com/articles/d41... Find out what's happening and what we can do to protect behavioral science with @fabbs.org Friday April 10th at 1:30 ET. Register at us02web.zoom.us/meeting/regi...
nature.com
Massive budget cuts for US science proposed again by Trump administration
Budget proposal would also curb federal payments for scientific publishing.
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Jennifer Richeson @jaricheson.bsky.social · 06/04/2026
Motivated to share our PCAST report on the value of the social and behavioral sciences. Sigh… www.erichorvitz.com/pcastreports...
erichorvitz.com
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Thekla Morgenroth @theklamorgenroth.bsky.social · 23/03/2026
1/n I'm really excited to share this (open access) paper in which we introduce SCORES (Semantic Clustering of Open Responses via Embedding Similarity) - a user-friendly tool to analyze (short) open-response data. journals.sagepub.com/doi/full/10.... With the magical @bpaassen.bsky.social.
Abstract
Free-text responses are a crucial part of psychological research, enabling participants to respond without bias toward a predefined set of answers. Unfortunately, many established methods for analyzing such responses require extensive manual coding, which is time- and resource-intensive. To address this issue, automatic-processing methods based on word embeddings and clustering techniques have been proposed. In this article, we introduce SCORES (Semantic Clustering of Open Responses via Embedding Similarity), a user-friendly, graphical tool that makes such automatic methods easy to use and understand for psychological researchers.
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Julia M. Rohrer @dingdingpeng.the100.ci · 17/03/2026
If you're working on health topics and are into mobile sensing -- the non-profit data4life supports early-career researchers with access to their GDPR-compliant data collection platform, mentorship, open-access coverage and travel support! www.data4life.care/en/about-us/...
data4life.care
D4L Impact Program | Supporting Early-Career Digital Health Researchers
The D4L Impact Program enables early-career researchers to generate real-world evidence from digital health data. The program provides access to the D4L Collect platform, cloud infrastructure, mentorship, and publication support to help researchers design and conduct high-quality studies using patient-reported outcomes, wearable and sensor data, and mobile health technologies.
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Mary C. Murphy @marycmurphy.bsky.social · 04/03/2026
Today Dominic Packer & @jayvanbavel.bsky.social republished @minzlicht.bsky.social's post about "The Downfall of Stereotype Threat" in their widely-read The Power Of Us newsletter. I felt a certain way about that & the evidence presented there & thought I'd respond:
marycmurphy.substack.com
The Report of Stereotype Threat's Demise Has Been Greatly Exaggerated
And why I'm feeling a certain way about it
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Chris Bail @chrisbail.bsky.social · 03/03/2026
Want to learn about computational social science *for free* and identify new research partners across academic fields? Apply to one of the 2026 Summer Institutes in Computational Social Science (described in yellow in the attached map) here: sicss.io/locations
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Katie Kroeper @katiekroe.bsky.social · 28/02/2026
New paper out in Science Advances! I'm really (really) proud of this one. Let's get into it. doi.org/10.1126/scia...
doi.org
How do you measure a threat in the air? Testing the universal, dynamic, and multifaceted nature of social identity threat
Using the SITC Inventory, social identity threat is shown to be dynamic, multifaceted, and nearly universal.
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American National Election Studies @electionstudies.bsky.social · 26/02/2026
ANES Announcement: Call for Proposals for the ANES 2026 Pilot Study. You can read more information:https://electionstudies.org/anes-announcement-call-for-proposals-for-the-anes-2026-pilot-study/ Deadline is 5pm Eastern, Friday, April 17, 2026.
Checkmark logo for the American National Election Studies
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Davis Vaughan @davisvaughan.bsky.social · 04/02/2026
dplyr 1.2.0 is out now and we are SO excited! - `filter_out()` for dropping rows - `recode_values()`, `replace_values()`, and `replace_when()` that join `case_when()` as a complete family of recoding/replacing tools These are huge quality of life wins for #rstats! tidyverse.org/blog/2026/02...
tidyverse.org
dplyr 1.2.0
dplyr 1.2.0 fills in some important gaps in dplyr's API: we've added a new complement to `filter()` focused on dropping rows, and we've expanded the `case_when()` family with three new recoding and re...
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Maureen Craig @mocraig.bsky.social · 03/02/2026
New paper, led by Pia Dietze (newly on bsky! @piadietze.bsky.social) and Riana Brown (@rrrianabrown.bsky.social): www.pnas.org/doi/10.1073/...
pnas.org
Health-focused frames mobilize Americans to action to address LGBTQ inequality | PNAS
“More than 1 in 8 LGBTQ people live in states where doctors can refuse to treat them.” This headline describes a flurry of laws passed in 2025 allo...
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Alex Coppock @aecoppock.bsky.social · 27/01/2026
🎺 Call for proposals 🎺 1️⃣ replicate an existing experiment 2️⃣ run a novel experiment on repdata.com 3️⃣ coauthor with Mary McGrath and me to meta-analyze the replications and existing studies 4️⃣ publish your study details: alexandercoppock.com/replication_... applications open Feb 1 please repost!
Call for Proposals: Data Collection for
Replication+Novel Political Science Survey Experiments
Alexander Coppock and Mary McGrath
January 27, 2026
We invite proposals for a survey experiment replication+novel design competition. Se-
lected replication+novel design survey experiments will be conducted on large samples of
American respondents, quota sampled to match U.S. Census margins and filtered for quality
and attention by the survey sample provider Rep Data (repdata.com).
Each proposal consists of two parts: (1) a replication study of an existing, previously
published survey experiment, and (2) a novel experimental design on a topic of the authors’
choosing.
The replication studies and reanalyses of the existing studies will be combined into a
meta-paper to be co-authored by all authors of accepted proposals along with the princi-
pal investigators (Coppock and McGrath). As a condition for acceptance, authors commit
to sharing the data and producing a write-up of the findings from their novel design for
submission to a scholarly journal, and public posting of a working paper pre-publication.
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Eric Shuman @ericmshuman.bsky.social · 19/01/2026
I am looking to recruit a postdoc to join my lab next fall, & work on projects focused on online mobilization with social media datasets - see more details here: bit.ly/4r49x9b . If anyone knows of someone with relevant skills who is looking for a postdoc- please pass this on!
bit.ly
Research Associate in Psychology
Dr. Eric Shuman at the University of Virginia invites applications for a post-doctoral research associate with expertise in the social psychology of social protest, social change, and/or in big data, ...
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Andrew Mercer @awmercer.bsky.social · 06/01/2026
Pew Research Center just posted a brand new opening for a Data Archivist! This is a 2-year, grant-funded position housed within the methods team (the best team obv). Check out the link below for a full description and to apply! #openscience
pewtrusts.wd5.myworkdayjobs.com
Data Archivist
Position Summary Pew Research Center is seeking a Data Archivist to support our commitment to open science and data transparency. This newly created role will play a key part in enhancing the accessib...
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Laura Wallace @lauraewallace.bsky.social · 20/11/2025
I'm excited to share that I’ll be reviewing PhD applications this cycle for students interested in working with me starting Summer/Fall 2026. I’m especially looking for applicants excited about research on trust/persuasion, responses to historical harm, addressing inequality, and/or mindsets.
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Josh McCrain @joshmccrain.bsky.social · 18/11/2025
new paper by Sean Westwood: With current technology, it is impossible to tell whether survey respondents are real or bots. Among other things, makes it easy for bad actors to manipulate outcomes. No good news here for the future of online-based survey research
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Ashley Berkebile-Weinberg (she/her) @ashleyberkwein.bsky.social · 12/11/2025
Check out my work that was recently published in Psychological Science on "The Anticipated Relational Effects of Confronting Bias (or not) in Interracial Friendships" with @mocraig.bsky.social, @rrrianabrown.bsky.social, and Casey McMahon. journals.sagepub.com/doi/full/10....
journals.sagepub.com
Sage Journals: Discover world-class research
Subscription and open access journals from Sage, the world's leading independent academic publisher.
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Elizabeth Wrigley-Field @wrigleyfield.bsky.social · 06/10/2025
Realized I should update that this is now ungated. Everyone can now read, without subscription, the article that one reader described as having "about as close to a plot twist as one will ever see in a review essay." (I loved that comment, which has been making me smile since I read it.)
doi.org
Three Ways of Looking at Black–White Mortality Differences in the United States
Everyone agrees that US Black deaths happen earlier than white deaths on average, but it is surprisingly challenging to find the best ways to summarize, quantify, and compare this gap. This review arg...
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ISPP @polpsyispp.bsky.social · 01/10/2025
ISPP Small Grants are back for 2026! 💡 $50k total available; request up to $5k for research or network/workshop projects. Open to current ISPP members. Proposals due Dec 1, 2025. Selection uses a lottery among proposals that meet all criteria. Apply: ispp.org/funding/smal...
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Dan Garisto @dangaristo.bsky.social · 26/09/2025
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.gov
NSF Graduate Research Fellowship Program (GRFP)
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Meltem Yucel @drmeltemyucel.bsky.social · 25/09/2025
Come join the Moral Minds Lab as a grad student at MSU! Brand-new lab equipped for child & adult testing, with motivated undergrads in a happy department. 🤩 Learn more: www.moralmindslab.com/join-our-tea... (P.S. @tedmond.bsky.social is also taking a student!) @msupsychology.bsky.social
Family friendly waiting room for participantsFamily friendly waiting room, picture shows children's play areaRoom for Research Assistants
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Tiffany Ito @tiffanyito.bsky.social · 22/09/2025
University of Colorado Boulder Psychology & Neuroscience is searching for TWO tenure track assistant professors!! jobs.colorado.edu/jobs/JobDeta... #socialpsychology #cogpsyc #PsychSciSky #PsychJob #psycjobs #psychology 1/n
jobs.colorado.edu
Assistant Professor
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Liz Neeley @lizneeley.bsky.social · 25/07/2025
A while ago, we started a #FixItFriday tradition. We keep a running list - large & small, digital & analog, anything broken or annoying - and work on it together. Today's 30-second fix: to remove AI "preview" from search results, here's the setting for Chrome users: www.reddit.com/r/techsuppor...
Screenshot from Reddit. User is zensnapple, posting 6 months ago. 
Thread says
"How to turn off Google AI Overview in Chrome SOLVED
Open Chrome and put chrome://settings/searchEngines in the search box.
A tab will open which brings you to Search Engine > Manage Search Engines and Site Search.
Click on the Add button by the Site Search update. A box will open. Fill in the form with the following:
Name: AI Free Web
Shortcut: @web
URL: {google:baseURL}search?q=%s&udm=14
You’ll now see AI Free Web in the list of search engines.
Click on the three stacked dots on the right side of AI Free Web on the list. Select Make Default.
From now on, google functions pretty much like it did back when it was good. Good luck out there."
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Maureen Craig @mocraig.bsky.social · 10/07/2025
Well deserved recognition!
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moin syed @syeducation.bsky.social · 24/06/2025
If for no other reason, you should read our new paper on mixed methods in psychology because we managed to get limecat in there. doi.org/10.1177/2515...
an image showing the different ways one can assess how funny limecat is. no matter how you do it, you will find that it is very funny indeed.
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Kim Weeden @weedenkim.bsky.social · 14/05/2025
Amidst all the posts about how NSF funds the basic science that (eventually) leads to marketable products, its role in funding data infrastructure is getting lost. The GSS (1972), ANES (late 1960s), and PSID (1968) are rounding error in the discretionary budget but vital national resources. 1/6
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Peter Luca Versteegen @versteegenluca.bsky.social · 12/05/2025
🚨 “We just need to recognize that we’re all citizens of this country.” –– Politicians + citizens often stress a shared national identity when trying to bridge racial, partisan, or other group divides. @stysyropoulos.bsky.social & I show why such “shared” identities are doomed to fail. 🧵1/9
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Jamie Reilly 🦜 @reilly-coglab.com · 19/04/2025
New R package almost birthed - SemanticDistance - computes two semantic distance metrics (experiential and embedding) for any rolling chunk size (ngram-to-ngram, word-to-word, turn-to-turn, ngram-to-word). You give it your language sample. It does the rest, including lemmatize and stopword omit
screenshot of semantic distance R package information
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Association for Psychological Science @psychscience.bsky.social · 27/02/2025
Congratulations to the newest class of APS Rising Stars ⭐! www.psychologicalscience.org/members/awar...
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Prof Andy Field @profandyfield.com · 10/02/2025
Probably no-one except me uses my R tutorials in their teaching, but if you do, I'm re-writing them over the next 6-9 months. My goal is to streamline them based on 5 years of using them in class, but if you have (polite) requests/suggestsions let me have them. www.discovr.rocks/discovr/
discovr.rocks
discovr: a package of interactive tutorials | discovr
Statistics education
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Maureen Craig @mocraig.bsky.social · 22/12/2023
Excited that our paper, led by @rrrianabrown.bsky.social & Pia Dietze, is out! We find that racial health disparities violate concerns of moral sacredness moreso than economic disparities, which sparks a sense of injustice and support for action. www.science.org/doi/10.1126/...
science.org
Highlighting health consequences of racial disparities sparks support for action
Racial health and physical harm disparities violate morality concerns, motivating action.
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