Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"

Formal Psychological Models of Categorization and Learning

Datasets and models included in the book "An Introduction to Bayesian Data Analysis for Cognitive Science".

Implements an n-dimensional parameter space partitioning algorithm for evaluating the global behaviour of formal computational models as described by Pitt, Kim, Navarro and Myung (2006)

Code and subset of data for "An exploratory analysis of emotion dynamics between mothers and adolescents during conflict discussions" (Main, Paxton, & Dale, 2016, Emotion).

Tools for eye data processing, analysis, and visualisation, in R.

🧠 Advanced reproducible pupillometry preprocessing in R | Interactive reports, BIDS-compliant, High-throughput database tooling out-of-the-box | Actively developed by cognitive neuroscientists at Stanford University

This repository contains all experimental data, including every respondent's survey, the final data set in Excel or CSV format, and the analysis code in R.

Exploring the dynamics of interpersonal movement coordination and social power (Paxton, Brown, & Winter, in preparation)

✅ Behavioral face recognition opendata and code for Matsuyoshi & Watanabe (2021) Psychol Res

Code "Beyond consistency: Contextual dependency of language style in monologue and conversation" (Müller-Frommeyer, Kauffeld and Paxton, 2020, Cognitive Science)

Do people infer hidden causes because of the perceptual environment?

reflectR v. 2.1.3: automatic scoring of the Cognitive Reflection Test. (The package is available on CRAN, this space is used for testing new features or improving the code)

Code, data, and materials for "A computational framework for understanding the roles of simplicity and rational support in people's behavior explanations"

Data processing for iquizoo.com

Research methods in cognition (6132) course at The Hebrew University,

An R package to correctly place eye-tracking gaze & fixation data on scrollable web pages

The data, R programming, and outputs for the research paper testing glucose consumption and cognitive factors. I used R to clean, process, model, and visualize the data. The outputs folder contains the finished products. Link to paper pending.

Script and webapp to calculate multiple signal-detection theory parameters.

Exploring one iconic task in decision making research