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Zachary Fisher

@fishingwithzack.bsky.social

Assistant Professor in Quantitative Psychology at UNC Chapel Hill.

3 Posts955 Follower203 Folgt
Christopher Crawford@cmcrawford.bsky.social · 6d ago

New preprint! I’m excited to share our recent work on discrete-valued time series, where we derive analytic standard errors for a flexible modeling framework. Preprint link and more details below 👇 arxiv.org/abs/2607.02732

Analytic Standard Errors for Latent Gaussian Discrete-Valued Multivariate Time Series

Unlike their continuous-valued counterparts, there are no universally preferred methodologies for modeling discrete-valued time series. This is especially problematic in fields such as psychology and ...

arxiv.org

Noah Greifer@noahgreifer.bsky.social · 6mo ago

I'm so excited to announce the first release of my newest #Rstats package, {adrftools}! This package facilitates estimation, visualization, and testing for the causal effect of a continuous (i.e., non-discrete) treatment. 🧵 1/10 #statssky #episky #causalinference

adrftools: Estimating, Visualizing, and Testing Average Dose-Response Functions

Facilitates estimating, visualizing, and testing average dose-response functions (ADRFs) for characterizing the causal effect of a continuous (i.e., non-discrete) treatment or exposure. Includes suppo...

cran.r-project.org

Ed Merkle@edgarmerkle.bsky.social · 7mo ago

Researchers often treat ordinal variables as continuous. What if we could mimic this in an ordinal factor analysis/IRT model? We propose new identification constraints so that the latent variable goes from 1 to (# of ordered categories), with connections to treating ordinal variables as continuous.

Identification and Scaling of Latent Variables in Ordinal Factor Analysis | Psychometrika | Cambridge Core

Identification and Scaling of Latent Variables in Ordinal Factor Analysis

doi.org

Yong Zhang@yongzhangzzz.bsky.social · 8mo ago

From my master’s thesis to my first PhD project — excited to share that this work (together with @jordanrvl.bsky.social, @ginettelafit.bsky.social, Anja Franziska Ernst, Josip Razum, Eva Ceulemans, and @bringmannlaura.bsky.social) is now published in AMPPS! Link: doi.org/10.1177/2515...

Meeting the Bare Minimum: Quality Assessment of Idiographic Temporal Networks Using Power Analysis and Predictive-Accuracy Analysis - Yong Zhang, Jordan Revol, Ginette Lafit, Anja F. Ernst, Josip Razu...

The network theory of psychopathology inspired clinicians and researchers to use idiographic networks to study how symptoms of an individual interact over time,...

doi.org

Jonathan J. Park@jonathanpark.bsky.social · 10mo ago

Wanted to announce that I will be recruiting graduate students this year in Quantitative Psychology here at UC Davis. If you are or know of any undergrads who are interested in dynamical systems and network analytic methods, please send them my way or get in touch!

Noah Greifer@noahgreifer.bsky.social · last yr.

Starting to look like I might not be able to work at Harvard anymore due to recent funding cuts. If you know of any open statistical consulting positions that support remote work or are NYC-based, please reach out! 😅

Dr. Eva Telzer@evatelzer.bsky.social · last yr.

We’re hiring postdocs to join my lab at UNC. If you’re interested in adolescence, brain, and social development, DM me. Our work incorporates fMRI, social media, and longitudinal methods. We study risks and opportunities in adolescence. If you’re at #SRCD2025 and want to meet, please reach out!

Jonathan J. Park@jonathanpark.bsky.social · 2y ago

My first paper as an Assistant Professor at UC Davis is out in the journal SEM! In the paper, we introduce a continuous-time extension to the GIMME model implemented in OpenMx. It uses iterative tests of modification indices to construct group- and person-specific dynamic networks!

Unsupervised Model Construction in Continuous-Time

Many of the advancements reconciling individual- and group-level results have occurred in the context of a discrete-time modeling framework. Discrete-time models are intuitive and offer relatively ...

tandfonline.com

Dan McNeish@dmcneish.bsky.social · 2y ago

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