Description Usage Format Details
Data from a follow-up experiment that manipulated /b/ and /p/ mean VOTs
separately, using only unsupervised distributional learning. There are five
conditions: (-80,50), (-50,50), (-20,50), (10,50), (10,80). The cleaned
dataset (with random responders removed) is separatemeans_clean
, and
the excluded data is in separatemeans_excluded
. Assignment metadata
(including audioequipment and useragent is in
separatemeans_assignments
1 |
The main dataset is a data.frame/tbl_df with 36,208
observations of 57 variables. It has the columns from
supunsup
, plus
pvotCond
Mean VOT of /p/ distribution
is_test
TRUE for test block, FALSE for exposure block
The assignments metadata is a data.frame/tbl_df with 124 observations of 10 variables:
Anonymized worker ID
MTurk assignment ID
MTurk HIT ID
When assignment was accepted
When assignment was submitted
Subjects' self-reported audio equipment
Subjects' comments after completing the experiment. The prompt was "Enter any comments you have below. Did anything seem weird? Were you hearing anything besides the choices we gave you?"
Not used in this experiment
Not used in this experiment
The browser userAgent string.
Because of the greater separation between clusters this introduces, there's an additional test phase after the main part of the experiment, where subjects classify a flat continuum from -10ms to 50ms VOT, repeated 10 times each.
Subjects classifying at less than 80
-10 and 80ms VOT are excluded in separatemeans_clean
.
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