ConfidenceOrientation: Confidence and response time data

In dynConfiR: Dynamic Models for Confidence and Response Time Distributions

Confidence and response time data

Description

A data set containing results from an orientation discrimination experiment with confidence judgments. The data set includes results from 16 participants and 3 sessions. The task was to identify the orientation (horizontal or vertical) of a grid that was briefly visible and then covered by a mask in form of a checkerboard pattern.

Usage

data(ConfidenceOrientation)

Format

A data frame with 25920 rows and 12 variables:

participant

integer values as unique participant identifier

session

session identifier ranging from 1 to 3

gender

gender of the participant: "w" for female; "m" for male participants

age

the age of participants in years

SOA

stimulus-onset-asynchrony in ms (i.e. time between stimulus and mask onset)

orientation

orientation of the target stimulus (0: vertical, 90: horizontal)

stimulus

stimulus identity ("senkrecht": vertical, "waagrecht": horizontal)

response

response for the discrimination task (see stimulus column)

correct

0-1 column indicating whether the discrimination response was correct (1) or not (0)

rt

response time for the discrimination response in sec

cont_rating

confidence rating as registered (continuous values ranging from -1 (unsure) to 1 (sure))

disc_rating

confidence rating discretized in 5 steps using equidistant breaks

Source

https://github.com/SeHellmann/SeqSamplingConfidenceModels

dynConfiR documentation built on May 29, 2024, 5:10 a.m.