Quantitative Methodologists out there… we are hiring at the Assistant Professor level! Please consider joining our community! umd.wd1.myworkdayjobs.com/en-US/UMCP/j...

New paper— everyone is collecting intensive longitudinal data but recent review studies report that less than half of studies consider measurement/psychometrics. The paper covers a few foundational psychometric methods for ILD and provides a shiny app to apply them link.springer.com/article/10.3...

A primer on intensive longitudinal psychometrics - Behavior Research Methods

Many intensive longitudinal studies are interested in topics that are not always amenable to direct physical measurement and instead are often theorized as latent constructs (e.g., affect, emotion, mo...

link.springer.com

A few weeks ago you’ve heard about nmax as the insurance policy for sample size planning on @quantitude.bsky.social Today we’re excited to launch the nmax Shiny app. Sample size planning with nmax can now be done in just a few button clicks! 🚀 yifeng-quant.shinyapps.io/nmax/

📢 The most recent volume of the Annual Review of Psychology is now online! The most read article so far is "How Do Psychologists Determine Whether a Measurement Scale Is Good? A Quarter-Century of Scale Validation with Hu & Bentler (1999)" by @dmcneish.bsky.social. arevie.ws/4jRYY6B

We built the openESM database: ▶️60 openly available experience sampling datasets (16K+ participants, 740K+ obs.) in one place ▶️Harmonized (meta-)data, fully open-source software ▶️Filter & search all data, simply download via R/Python Find out more: 🌐 openesmdata.org 📝 doi.org/10.31234/osf...

In a new paper, my colleagues and I set out to demonstrate how method biases can create spurious findings in relationship science, by using a seemingly meaningless scale (e.g., "My relationship has very good Saturn") to predict relationship outcomes. journals.sagepub.com/doi/10.1177/...

Pseudo Effects: How Method Biases Can Produce Spurious Findings About Close Relationships - Samantha Joel, John K. Sakaluk, James J. Kim, Devinder Khera, Helena Yuchen Qin, Sarah C. E. Stanton, 2025

Research on interpersonal relationships frequently relies on accurate self-reporting across various relationship facets (e.g., conflict, trust, appreciation). Y...

journals.sagepub.com

Tenure-Track Quant Psyc job opening at Northern Arizona University in Flagstaff. Areas of interest are pretty broad (SEM, multilevel, or psychometrics), the deadline to apply is coming up soon (Sept 15) if you're interested! careers.nau.edu/jobs/assista...

Assistant Professor, Psychological Sciences - Flagstaff, Arizona, United States

About the Department/College The Department of Psychological Sciences is located on the Flagstaff Mountain Campus of Northern Arizona University (NAU), situated at the base of San Francisco Peaks. NAU...

careers.nau.edu

For those interested, here is a link to a new power paper: Hancock, G. R., & Feng, Y. (2026). nmax and the quest to restore caution, integrity, and practicality to the sample size planning process. Psychological Methods. yifengquant.github.io/Publications...

🧵 Very excited (w/ @omarjcamanto.bsky.social) to share our preprint tutorial for using our R 📦 dySEM for #dyadic data analysis with latent variables, in cross-sectional data sets. This paper has been literal years in the making, and provides three distinct tutorials. osf.io/preprints/ps...

‼️ New paper @ Child Development discussing why it is inappropriate to use traditional common factor models to model adverse childhood experienced (ACEs) and other stressor inventories ‼️ Read full (brief) paper at srcd.onlinelibrary.wiley.com/doi/full/10.... @srcdorg.bsky.social #PsychSciSky 1/9

<em>Child Development</em> | SRCD Journal | Wiley Online Library

Adverse childhood experiences (ACEs) are highly impactful stressors that increase individuals' risk for a plethora of negative developmental and health outcomes. Furthermore, minoritized groups and u...

srcd.onlinelibrary.wiley.com

New paper on dealing with MNAR intensive longitudinal data. Ran into this problem in an empirical study and didn't find too much in the methods literature on MNAR ILD, so this was the best I could come up with. Lots of opportunity to improve methods in this area! psycnet.apa.org/record/2025-...

New paper - coefficients like alpha/omega are commonly reported to summarize reliability. A sneaky nuance is that reliability is actually different at each score in the data. Paper tries to quantify how representative alpha/omega are of a typical score. link.springer.com/article/10.3...

This paper on intensive longitudinal reliability led by Sebastian Castro-Alvarez is one of the best I've read in a while -- the review was so thorough, the code was fantastic, and it answered any questions I had about IL reliability. Definitely check it out you work with ILD! osf.io/preprints/ps...

Next week, I'm teaching a 3-day workshop on DSEM for intensive longitudinal data using Mplus and registration is still open -- more information about the topics and registration can be found here! statisticalhorizons.com/seminars/dyn...

Dynamic Structural Equation Modeling Seminar | Statistics Course

This online course by Dan McNeish Ph.D., introduces both foundational and intermediate topics in DSEM.

statisticalhorizons.com

I don't understand how you can read and understand an evolving literature without keeping up with methodological developments. What are we supposed to do, just read discussion sections and take people's word for it?

The basic principle is that reviewers are tired, they're rushed, they're reading your and 10 other grants on top of their normal workload. Anything you can do to make it easy for them will help. Here's a list of my suggestions.

Felicity Enders, PhD, MPH@felicityenders.bsky.social · 2y ago

As a grant reviewer, what do you really wish people would do/not do? Not big things, like find a significant question/innovative method/be consistent with aims Little things, like bold each acronym the first time it’s used. Add your pet peeves ⬇️ #HiddenCurriculum #Research

Who should you nominate as reviewers for your manuscript? After a long chat with a post-grad it appears that there's a lot of misguided advice out there. Thread 👇

This article gives a phenomenal overview of the history and evolution of best practices in measurement invariance and differential item functioning -- I can't remember the last time I learned so much reading a single paper, highly recommended! www.tandfonline.com/doi/full/10....

A Review of Some of the History of Factorial Invariance and Differential Item Functioning

The concept of factorial invariance has evolved since it originated in the 1930s as a criterion for the usefulness of the multiple factor model; it has become a form of analysis supporting the vali...

tandfonline.com

Posting for a Bsky-less friend -- New quant job posting for an Asst Professor at the University of Georgia in machine learning/data science/AI (very broadly defined) with applications to educational research. Due date is Dec 2! www.ugajobsearch.com/postings/403...

New Paper w/@melissagwolf.bsky.social- Dynamic fit cutoffs now support any covariance structure model (e.g., bifactor, hierarchical, & mediation models). Also supports categorical and non-normal outcomes Use the DDDFI function in dynamic package on GitHub www.tandfonline.com/doi/full/10.... /1

Direct Discrepancy Dynamic Fit Index Cutoffs for Arbitrary Covariance Structure Models

Despite the popularity of traditional fit index cutoffs like RMSEA ≤ .06 and CFI ≥ .95, several studies have noted issues with overgeneralizing traditional cutoffs. Computational methods have been ...

tandfonline.com

New paper w/ Roy Levy These 2 path diagrams are conceptually different (regression with a latent predictor that has 3 indicators vs. a factor model with 4 indicators) but they are mathematically equivalent. journals.sagepub.com/doi/10.3102/... /1

Psychology really needs to go back to square 1 on measurement. Even the major replications haven’t taken the lack of valid measures seriously. We are making up questions and questionnaires daily w/o validating constructs or tasks. This means our foundation is seriously shaky @jkflake.bsky.social

Yesterday I spent the day at an interdisciplinary meeting about rigor in science. It was a little depressing in what we are still working through regarding poor practices and incentives in science. Also, uplifting in that the movement to rectify the issues-has/is creating tools to move forward 1/n

How do we measure experiences of loneliness in daily life? A thread for clinical psychologists, relationship scientists, EMA nerds, and measurement geeks 🧵👇 Preregistration, data, analysis scripts, and materials at osf.io/cwgme/. #psychscisky #rstats #statssky

PsyArXivBot@psyarxivbot.bsky.social · 3y ago

Measuring Loneliness in Everyday Life: http://osf.io/64ns9/

"Dynamic structural equation models with binary and ordinal outcomes in Mplus" - comes with a handy MPlus tutorial! link.springer.com/article/10.3... @dmcneish.bsky.social Somers & Savord

I somehow (!?!) missed that @dmcneish.bsky.social and Wolf have a dynamic fit indices Shiny app? Slapping this right into my measurement seminar slides. dynamicfit.app/connect/

Follow Dan because chances are that if you are wishing for a paper on an under-documented yet essential stats thing, he will have written it within the next 30 days

Dan McNeish@dmcneish.bsky.social · 3y ago

Most papers comparing clustered data methods use biostat/econ language, so I tried to write one using psyc/ed language that covers the origin of the independence assumption, how each method handles ind. violations, and types of questions best-suited for each method psycnet.apa.org/record/2024-...

Most papers comparing clustered data methods use biostat/econ language, so I tried to write one using psyc/ed language that covers the origin of the independence assumption, how each method handles ind. violations, and types of questions best-suited for each method psycnet.apa.org/record/2024-...

Now in press at MBR, led by Lydia Speyer: Within person moderation in intensive longitudinal data using 2 level DSEM, pushing against the borders of what Mplus can do (coming soon: Everything ported to Rstan) #StatsSky #PsychSciSky osf.io/preprints/ps...