data_color_judgement_task: Example Data from a Color Judgement Task

In bmm: Easy and Accessible Bayesian Measurement Models Using 'brms'

Example Data from a Color Judgement Task

Description

Raw data from 50 subjects that completed a color judgement task. Participants had to detect if there were more blue or red dots in a cloud of colored dots. The task included a difficulty manipulation coded by the condition variable. In the easy condition 60 percent of the dots were either blue or red, and in the difficult condition 52 percent were either blue or red. In addition the fixation cross preceding the onset of the dot matrix had a variable presentation time coded in the fix_duration variable

Usage

data_color_judgement_task

Format

data_color_judgement_task

A data frame with 9941 rows and 10 columns:

ID

Character String uniquely identifying each subject

trial

The trial number of the experimental trials

condition

A character variable coding the difficulty condition

fix_duration

The duration in ms the fixation cross was shown before onset of the dot matrix.

target_response

The color / response that was more frequent in the dot matrix

response

The response coded in red / blue given by the participant

response_correct

Boolean variable coding if the response was correct or not.

rt

The reaction time in seconds.

pressed_key

The actual key pressed by the participants

correct_key

The correct key that should have been pressed.

bmm documentation built on March 30, 2026, 5:08 p.m.