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exp1_data_about.txt
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exp1_data_about.txt
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The Experiment 1 production data csv is structured as follows:
data.frame': 9564 obs. of 16 variables:
$ Condition : Factor w/ 3 levels "first","full",..: 1 1 1 1 1 1 1 1 1 1 ...
Three conditions: first name (n=152), last name (n=153), full name (n=152)
$ List : int 1 1 1 1 1 1 1 1 1 1 ...
List assignment, see stimuli file on OSF
$ GenderRating: num 1.21 1.24 1.28 2.12 2.41 2.61 3.61 3.75 3.87 4.22 ...
Gender rating for first names, from pilot data. Participants rated each name on a scale
of 1-7 with 1 being most masculine and 7 being most feminine. This column is NA for the
last name condition.
$ NameShown : Factor w/ 104 levels "Ashley","Ashley Cook",..: 64 11 43 18 95 29 88 71 79 92 ...
The name shown (first, last, full). There are 21 first names, 21 last names, and 3
combinations of full names (-1 because of stimuli error), for a total of 104 different items.
$ NameFirst : Factor w/ 21 levels "Ashley","Blair",..: 14 3 9 4 21 6 19 15 17 20 ...
The first name (for first and full conditions).
$ NameLast : Factor w/ 21 levels "Baker","Bell",..: NA NA NA NA NA NA NA NA NA NA ...
The last name (for last and full conditions).
$ He : int 1 1 1 1 0 1 1 0 1 1 ...
1 if the response used he/him/his pronouns to refer to the named character
$ She : int 0 0 0 0 1 0 0 1 0 0 ...
1 if the response used she/her/hers pronouns
$ Other : int 0 0 0 0 0 0 0 0 0 0 ...
1 if the response did not use he/she pronouns
$ OtherType : Factor w/ 5 levels "","no subject",..: 1 1 1 1 1 1 1 1 1 1 ...
The Other responses are coded into several categories:
No subject: response has no subject, assumed to be the named character but ungrammatical
Other subject: response talks about another subject(s) besides or including the named character
Repeat name: response avoids using gendered pronouns by repeating the name
Singular They: response uses they/them/theirs to refer to the named character
$ Response : chr "he ate breakfast." "he went to bed." "he watched a movie." "he started dancing."
Original response text
$ SubjID : Factor w/ 457 levels "Exp1_P1","Exp1_P10",..: 443 443 443 443 443 443 443 443 443 443
Participant ID
$ SubjGenderMale : int 0 0 0 0 0 0 0 0 0 0
Participants wrote their gender in a free-response box. NA values (N=15) are participants who did not
provide a gender, generally misreading the question and writing their age instead. This is the variable
used in the supplementary analysis, with male participants (N=244) coded as 1 and female (N=196),
genderfluid (N=1), and nonbinary (N=1) participants are coded as 0. The original responses are not
included in the public dataset, to preserve the privacy of gender minority participants.
Participant age, education level, and race/ethnicity were also collected but are not included in the
public dataset.