Flask web application for calculation and analysis of the Rorschach Inkblot Method

Python Behavioral OnLine Experiment framework

Norm values for the FFA (Freiburg Mindfulness Inventory)

An R adaptation of Multidimentional Top Scoring method presented by Forthmann, Karwowski and Beaty (2023).

Psykometrisk analys Prevents enkät Säkerhetsvisaren 2.0

A new way to analyse computer mouse trajectories

Проекты, выполненные в ходе обучения на бакалавриате Психологии ВШЭ

Development of a feature selection scheme that is robust across all the datasets and regardless of the ML model used for classification

Metabolism of serum neurotransmitter precursors after COVID-19

Simulate cognitive diagnostic model data for Deterministic Input, Noisy "And" Gate (DINA) and reduced Reparameterized Unified Model (rRUM) from Culpepper and Hudson (2017) <doi: 10.1177/0146621617707511>, Culpepper (2015) <doi:10.3102/1076998615595403>, and de la Torre (2009) <doi:10.3102/1076998607309474>.

The complete analysis pipeline for the hyposmia project by Health After COVID-19 in Tyrol Study Team

App for sharing psychometric profile info with your peers to help you better understand each other.

ShinyApp - Reference value tables

Analyzing humor styles by age and gender.

Psychometric techniques, including functions to analyze dichotomous variables, and applied examples of factor analysis and discriminant analysis. Produced within the classes "Principles and Methods of Measurement" and "Public Opinion", both taught at the University of Chicago in the Spring of 2021.

Graduate project implementing a pattern-based approach on organizational data

Resources to estimate usual alcohol consumption from the Extended AUDIT-C

Work related to my dissertation on categorical factor analysis and response time

Statistical analysis of neuropsicological visual analog mood scale assessments.

Perform a Bayesian estimation of the exploratory Sparse Latent Class Model for Binary Data described by Chen, Y., Culpepper, S. A., and Liang, F. (2020) <https://doi.org/10.1007/s11336-019-09693-2>