data_MT: Roughly 2000 trials of a mouse-tracking experiment
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_MT R Documentation
Roughly 2000 trials of a mouse-tracking experiment
Description
A preprocessed data set from an experiment conducted by
Kieslich et al. (2020) in which participants classified
specific animals into broader categories.
The data set contains response times, MAD, AUC and other
attributes as well as all experimental conditions.
Usage
data_MT
Format
A data frame with 2052 rows and 16 variables.
Since most variables should be self-explanatory, only
the less obvious are explained here.
- condition
Whether the exemplar is typical for
its response category (e.g. dog for a mammal) or
atypical for its response category (e.g. bat for a
mammal, sharing features with both mammals and birds).
- group
Whether the response was triggered by
clicking the response button or moving the
cursor into the area of the response button.
- MAD
Maximum Absolute Deviation of the pointer
to an ideal line from starting point to the target.
Positive if above the line, negative if below.
- AUC
Area Under the Curve; the geometric area
between the actual trajectory and the direct path
where areas below the direct path have been subtracted
- xpos_flips
Number of directional changes
along x-axis.
- prototype_label
Trajectorial prototype as
described by Wulff et al. (2019).
Source
References
Kieslich, P.J., Schoemann, M., Grage, T., et al. (2020).
Design factors in mouse-tracking: What makes a difference?.
Behavior Research Methods 52, 317-341.
michael-franke/aida-package documentation built on Feb. 19, 2023, 11:51 p.m.
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| data_MT | R Documentation |
Roughly 2000 trials of a mouse-tracking experiment
Description
A preprocessed data set from an experiment conducted by Kieslich et al. (2020) in which participants classified specific animals into broader categories. The data set contains response times, MAD, AUC and other attributes as well as all experimental conditions.
Usage
data_MT
Format
A data frame with 2052 rows and 16 variables. Since most variables should be self-explanatory, only the less obvious are explained here.
- condition
Whether the exemplar is typical for its response category (e.g. dog for a mammal) or atypical for its response category (e.g. bat for a mammal, sharing features with both mammals and birds).
- group
Whether the response was triggered by clicking the response button or moving the cursor into the area of the response button.
- MAD
Maximum Absolute Deviation of the pointer to an ideal line from starting point to the target. Positive if above the line, negative if below.
- AUC
Area Under the Curve; the geometric area between the actual trajectory and the direct path where areas below the direct path have been subtracted
- xpos_flips
Number of directional changes along x-axis.
- prototype_label
Trajectorial prototype as described by Wulff et al. (2019).
Source
References
Kieslich, P.J., Schoemann, M., Grage, T., et al. (2020). Design factors in mouse-tracking: What makes a difference?. Behavior Research Methods 52, 317-341.
R Package Documentation
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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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