data_MC_raw: Mental Chronometry
In michael-franke/aida-package: R package with helper functions for courses on _A_dvanced topics in and _I_ntro to _D_ata _A_nalysis
data_MC_raw R Documentation
Mental Chronometry
Description
This data set is from an online experiment
investigating differences in reaction times and accuracy
in solving three tasks of increasing complexity.
Usage
data_MC_raw
Format
A data frame with 3750 rows and 32 variables.
The most important variables in this data set are:
- submission_id
A unique identifier for each participant.
- RT
The reaction time for each trial.
- response
Response to the presented stimulus in the
reaction or go/no-go condition.
- key_pressed
The key that was pressed in the discrimination
condition (f or j).
- trial_type
The condition (reaction, go/no-go, discrimination),
as well as whether it was a practice or main trial.
- stimulus
The stimulus displayed on the screen; either a
blue circle or a blue square.
Source
See Also
data_MC_preprocessed for a preprocessed version of this data set.
data_MC_cleaned for a cleaned version of this data set.
michael-franke/aida-package documentation built on Feb. 19, 2023, 11:51 p.m.
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| data_MC_raw | R Documentation |
Mental Chronometry
Description
This data set is from an online experiment investigating differences in reaction times and accuracy in solving three tasks of increasing complexity.
Usage
data_MC_raw
Format
A data frame with 3750 rows and 32 variables. The most important variables in this data set are:
- submission_id
A unique identifier for each participant.
- RT
The reaction time for each trial.
- response
Response to the presented stimulus in the reaction or go/no-go condition.
- key_pressed
The key that was pressed in the discrimination condition (f or j).
- trial_type
The condition (reaction, go/no-go, discrimination), as well as whether it was a practice or main trial.
- stimulus
The stimulus displayed on the screen; either a blue circle or a blue square.
Source
See Also
data_MC_preprocessed for a preprocessed version of this data set.
data_MC_cleaned for a cleaned version of this data set.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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