BREAKTHROUGH COMING NEXT WEEK! After months of very intensive work, we are about to release the results of our "Exploratory Graph Analysis Item Parameters" simulation. We've successfully derived IRT-compatible parameters directly from EGA! Stay tuned, folks!

Are you interested in hierarchical dimensionality analysis? Here's our new "Taxonomic Graph Analysis" used to model the IPIP-NEO Personality Hierarchy. The project is led by Andrew Samo and Alexander Christensen, with the collaboration of Luis Garrido, Paco Abad, Sam McAbee, and me! 1/n

A new approach for LLM Interpretability: Mapping the Emergence of Semantic Structure in GPT-2. See the project details and initial findings below:

What happens when we use Quantitative Psychology methods to understand and dissect Large Language Models? Follow me this week for a very interesting journey on the semantic dimensionality emergence and structural shifts in LLMs...

Join "Network Psychometrics with Exploratory Graph Analysis: An Innovative Approach to Structural Validity, Item Analysis, and Dimension Analysis" with @hudsongolino.bsky.social on April 30-May 2! Learn what EGA is, how it works, and get the answers to the many questions surrounding EGA.

New paper alert: Revised Network Loadings, by Alexsander P. Christensen, Hudson Golino, Francisco Abad, and Luis Garrido (2025). Link: link.springer.com/article/10.3...

The most innovative course I've ever created is back! April 15 and 17, come learn how to develop and validate new scales in silica using LLMs and network psychometrics in R.

Now Published: "Towards a psychology of individuals: The ergodicity information index and a bottom-up approach for finding generalizations", by Golino, Christensen, and Nesselroade (2025). www.tandfonline.com/doi/full/10....

🧠 Applying to Psychology PhD programs? Join @UVA's virtual panel April 14 at 12:30PM! Current faculty & PhD students will share tips on choosing programs & creating competitive applications. All welcome, especially those from underrepresented groups. Register via QR code! #PsychPhD #GradSchool

After a very successful first edition (sold out), we'll be offering the course again on April 15 and 17! Stay Tuned!

After a very successful first edition (sold out), we'll be offering the course again on April 15 and 17! Stay Tuned!

This is by far the MOST innovative and mind-blowing course I've created in my entire career. I couldn't be more excited with a course: from the beauty of the slides, the organization of the content, to the unbelievably cool hands-on activities.

The Generative Psychometrics and Exploratory Graph Analysis Lab has a new tag and a brand new room at UVa

Large Language Models are great at mimicking human conversation, but do we trust them? Until now, research on trust in LLMs has been scarce. Introducing the Trust-In-LLMs Index (TILLMI), a new framework extending McAllister’s cognitive and affective trust dimensions to human–LLM interactions 1/n

Come join me next week (March 12 and 13) for the very first: Automatic Item Generation and Validation: A Short Course, A Network Integrated Approach using Large Language Models in R. codehorizons.com/Seminars/aut...

Come join me next week (March 12 and 13) for the very first: Automatic Item Generation and Validation: A Short Course, A Network Integrated Approach using Large Language Models in R. codehorizons.com/Seminars/aut...

Come work with me! We are looking to bring on more top talent to our language modeling workstream at @ai2.bsky.social building the open ecosystem. We are hiring: * Research scientists * Senior research engineers * Post docs (Young investigators) * Pre docs job-boards.greenhouse.io/thealleninst...

Join "Automatic Item Generation and Validation: A Network Integrated Approach using Large Language Models in R" on March 12-13 with @hudsongolino.bsky.social to learn how to use artificial intelligence to create and validate questionnaires and scales!

Attention dear colleagues: there's a significant increase in bots activities here in Bsky. Be aware of your chat messages.

🚨 Excited for the latest paper from the lab, led by Zhang & Arsham. Can we coarse-grain a #ComplexNetwork while preserving macroscopic network flows? Surprisingly, the answer is positive, and we have shown it by means of StatPhys + Machine Learning. 🧵 1/ www.nature.com/articles/s41...

We did it!!! A full-blown, 100% in-silica item development and validation (structural validity and item quality) for PERFORMANCE items using a new AI-GENIE developed exclusively for performance-based assessment/tests. Accuracy (NMI = .95). Mean Difference between DIFFICULT and EASY items: 3.34 1/n

Our UVA Research Award Dinner last week, with our beloved friends Steve Boker and Valerie Larsen

A personal note about academic life, especially for early-career scientists: I recently won an important award at my university. And I shared a lot about it. But here's what you don't see: the numerous awards I wasn't selected for, despite being nominated +

Congratulations to the UVA Psychology Professors awarded with the 2024 Distinguished Researcher Award (Dr. Steve Boker), and the 2024 Research Excellence Award (Dr. Hudson Golino @hudsongolino.bsky.social).

Celebrating the 2024 Research Excellence Award at @UVA with my beautiful and brilliant wife, and two of the most inspiring people at UVa, our amazing president Jim Ryan and our great provost, Iam Baucom.

We're approaching a significant breakthrough in our AI-GENIE project, blending LLMs and Network Psychometrics for automatic item development and validation. Stay tuned.

Another new seminar this Spring is @hudsongolino.bsky.social's “Automatic Item Generation and Validation: A Network Integrated Approach using Large Language Models in R”! Learn how to use artificial intelligence to create and validate questionnaires and scales. bit.ly/40LhJzQ

We are SO excited with the things we're doing right now. It's just mind-blowing. Things that were though to be IMPOSSIBLE. Just, IMPOSSIBLE to do in Psychometrics. Stay tuned.

Coming to EGAnet soon: The Total Entropy Fit Index Bootstrap Test. Compare two dimensionality structures using bootstrapped TEFI values. Includes non-parametric tests and sweet visualization of TEFI distributions. Perfect for robust network comparison!

The Psychometric Society has new social media accounts! Follow us, repost us, like us, on your favorite platform: LinkedIn: www.linkedin.com/company/psyc... Facebook: www.facebook.com/pmetricsoc/ Bluesky: bsky.app/profile/pmet... Instagram: www.instagram.com/psychometric... X: x.com/pmetricsoc

Open postdoc position at @sfiscience.bsky.social to work with my fantastic colleagues on "emergent engineering": santafeinstitute.teamtailor.com/jobs/5463514...

Are you interested in AI/LLMs, and item development/validation? We have a super exciting new breakthrough from our AI-GENIE project... More information as soon as the new simulation is done! Stay tuned!

Despite several tragedies going on (including a personal one), let me share some good news. I am very happy to receive the 2024 University of Virginia (@UVA) Research Excellence Award, together with my dear colleague Steve Boker (that received the Distinguished Researcher Award).

Holiday season approaching, lots of chaos and sadness around the world. Embrace your loved ones and make sure they know they're loved.

Items generated and validated in silica using Large Language Models have the SAME STRUCTURAL VALIDITY COMPARING COMPUTER-VALIDATION AND REAL HUMANS VALIDATION! We demonstrated that in 5 different nationally representative samples... Read below:

Paper submitted! Fingers crossed!

Automatic Item Development and Validation using LLMs via AI-GENIE: In Silica and Human Results. Are you interested in LLMs, Network Psychometrics, Item Development and Validation, and how to automatically develop AND validate items in-silica? Read this thread... 1/n osf.io/preprints/ps...

Automatic Item Development and Validation using LLMs via AI-GENIE: In Silica and Human Results. Are you interested in LLMs, Network Psychometrics, Item Development and Validation, and how to automatically develop AND validate items in-silica? Read this thread... 1/n osf.io/preprints/ps...

Ok, so our pre-print is ready and will be released tomorrow. It's a monumental paper that we believe will change how we develop and validate items in Psychology and related fields.

Are you interested in LLMs, Network Psychometrics, Item Development and Validation, and how to automatically develop AND validate items in-silica? We have something big to share soon... Stay tuned!

It is easier to read this thread here: threadreaderapp.com/thread/18611...

⚠️Urgent public service announcement for anyone using Microsoft Office: by default Office will scrape your documents, unless you opt out, as described below:

Interested in Large Language Models for concept clustering/item development/text clustering? Check out the main results of my new simulation study. Pre-print coming soon...

Optimization of the landscape of LLM embeddings using Dynamic Exploratory Graph Analysis. Problem: How can the accuracy of LLM embeddings be improved when they are used to map concepts/traits using text data? Read below for a wild and interesting simulation study...

Hi Psych folks, give @marianatelesg.bsky.social from @uvapsychology.bsky.social a follow. Her work focuses on cognitive science, interventions, science of teaching and learning, memory, and aging.

🚨 Preprint! We combine our recent open dataset of #APC prices with the article counts per journal-year from #OpenAlex to estimate how much the academic community has paid in APCs over the last 5 years. A. $8.349 billion ($8.968 B in 2023 USD) $2.5B in 2023 alone. arxiv.org/abs/2407.16551 #metasci

Another open position with LEVANTE - this time a postdoc on our psychometrics team, with Nilam Ram: postdocs.stanford.edu/prospective/... Come join us in creating a field-leading framework for developmental data collection! levante-framework.org

Count down to blow everyone's mind: AI-GENIE's fire test. In-silica item development and validation's pressure test coming soon to your timeline. Stay tuned!

I just finished reading "The Devotion of Suspect X", by Keigo Higashino. One of my new favorite writers.

If you work with quantitative methods and is interested in being part of this starter pack, please let me know: go.bsky.app/MMeFFH6