Goldenberg Lab

Data analyses for the project on strategy and motivation on collective emotion regulation (Study 1).

The goal of this template is to unify the process of analyzing data in the lab. This template that is easy to replicate and follow across many different projects. We expect this template to fit almost all kinds of analysis that we do in the lab.

Helpful guides and examples to make life easier.

This repo contains the experiments to test average estimations of text/word stimuli

Template for Python Projects in Goldenberg Lab

Analysis scripts, processing scripts, and raw/processed data and model fits in support of the paper: "Identifying Learning Models from Human Behavior using Bottom-Up Equation Discovery"

Examining the effect of viewing faces of different genders and emotional valences on judgments of emotionality.

An attempt to evaluate the mechanisms for the iat using drm