dotstask_lab: Lab data from the Exploring Social Metacognition Dots Task
In oxacclab/esmData: Exploring Social Metacognition Data

Lab data from the Exploring Social Metacognition Dots Task

1	dotstask_lab

A list with four items:

advisors

A tibble with 100 rows and 6 columns:

participantId

Identifier for the participant

id

Identifier for the advisor

advice.type

Code for the advice offered by the advisor.

neutral
Agree in Confidence (Bias sharing)
Agree in Uncertainty (Anti-bias)

portrait

Portrait number for the advisor

voice

Voice number for the advisor

name

Name assigned to the advisor

participants

A tibble with 25 rows and 17 columns:

participantId: Identifier for the participant
gender: Participant's self-reported gender
age: Participant's self-reported age
restarted: Whether the experiment was resumed from earlier failure
screen: Screen used for display
computer: Operating system code
os: Operating system description
debug: Whether the study was run in debug mode
short.mode: Whether the study was run in short mode
stimulus.response.interval, ...: Experimental settings (see MATLAB experiment code for their functions)

questionnaires

A tibble with 800 rows and 11 columns:

answer: Answer given on a sliding scale
questionNumber: Number of the question
initialPosition: Initial answer position of the slider
presentationOrder: Question's position in the presentation sequence at that time point
hasChanged: Whether the participant moved the slider
responseTime: Seconds taken for the answer to be submitted
onsetTime: Time at which the question was displayed to the participant
participantId: Identifier for the participant
timePoint: Which stage of the experiment at which this set of questions occurs
questionId: Identifier for the question text
advisorId: Identifier for the advisor who is the subject of the question

trials

A tibble with 9,075 rows and 50 columns:

participantId: Identifier for the participant
id: trial identifier
block: experimental block the trial belongs to
break: whether there is a break after the trial
instr: whether there are instructions accompanying the trial
questionnaire: whether there is a questionnaire after the trial
feedback: whether the trial is accompanied with feedback (tone on error)
practice: whether the trial is labelled as a practice trial
obsacc: whether the advisor is correct in their advice
agree: whether the advisor agrees with the participant
step: whether the confidence expressed by the participant in their initial decision is in the bottom 30% (-1), middle 40% (0), or top 30% (1) of initial confidence ratings given over the last 2 blocks
advisorId: identification number of advisor
choice: list of the advisors offered as a choice on the trial in position [top, bottom]
advisorPolitics: not used
advisorPoliticsQ: not used
taskType: not used
cj1: Participant's initial response
cj2: Participant's final response
cor: whether participant's (final or initial if no final response is taken) answer is correct
cor1: whether participant's initial answer is correct
cor2: whether participant's final answer is correct
choiceDecision: whether the participant selected the top (1) or bottom (2) advisor
choiceTime: time taken to choose the advisor (s)
estim_obsacc: Participant's estimate of the accuracy of the advisors [first advisor, last advisor]
int1: Whether the initial response chose the left (1) or right (2) side
int2: Whether the final response chose the left (1) or right (2) side
offset_speech: timestamp of advisor's speech ending
offsetstim: timestamp of stimulus offset
onsetstim: timestamp of stimulus onset
time_responseStart1: timestamp of initial response opening
time_responseStart2: timestamp of final response opening
time_response1: timestamp of initial response
time_response2: timestamp of final response
time_startTrial: timestamp of trial start
time_endTrial: timestamp of trial end
tmissed_offset1: delay between target offset and actual offset (s) for initial decision
tmissed_onset1: delay between target onset and actual onset (s) for initial decision
qanswers: Questionnaire answers - struct (unpacked in questionnaires dataframe)
wherelarger: whether the box with the most dots is on the left (1) or right (2)
wheredots: 2x400 array of the possible dot positions for the left [1,] and right [2,] boxes. 1s represent dots while 0s represent blank spaces
dotdifference: the number of dots subtracted from the less numerous box and added to the more numerous box
time_starttrial: timestamp of the trial start
endTime: timestamp of the trial end
advice_order: whether the advisor's "I think" precedes or follows the direction endorsement
whichspeech: Not used
onsetobsspeech: timestamp of advice speech onset
onsetobs: timestamp of advisor portrait display onset
tmissed_onset2: delay between target onset and actual onset (s) for final decision
offsetobs: timestamp of advisor portrait display offset
tmissed_offset2: delay between target offset and actual offset (s) for final decision

This dataset cannot be loaded using the select_experiment function. It should instead be loaded using data.

Data collected from a lab-based behavioural psychological experiment in which participants view two boxes containing around 200 dots each and make a decision as to whether the left or the right box contains more dots. On most trials, participants receive advice from an advisor and make a final decision. Both the initial and final decision are made on a horizontal bar with the extremes representing certainty that the box on that side had the most dots, and the middle region representing relative uncertainty.

https://osf.io/vgcnb/ via some data wrangling to convert from MATLAB to R

oxacclab/esmData documentation built on Oct. 6, 2021, 3:04 p.m.