hatemi_2017_sex_freq

17,647 responses from 1,003 respondents to 18 items.

About this table

DescriptionSexual behaviour frequency over the preceding 12 months, 18 items, 1-5; N = 1,003 US adults (online); cov_sex, cov_age, cov_education, cov_pid7, cov_ideology7.
ReferenceHatemi, P. K., Crabtree, C., & McDermott, R. (2017). The relationship between sexual preferences and political orientations: Do positions in the bedroom affect positions in the ballot box? Personality and Individual Differences, 105, 318-325. https://doi.org/10.1016/j.paid.2016.10.008
DOI10.1016/j.paid.2016.10.008
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/ZL47OH

Size and shape

Responses17,647
Respondents1,003
Items18
Response categories5
Responses per respondent17.594
Responses per item980.389
Density0.977
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleInternet-based
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameSexual behaviour frequency

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, hatemi_2017_sexual_behavior.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate age
cov_educationCovariate education
cov_ideology7Covariate self_reported_ideology
cov_pid7Covariate self_reported_pid
cov_sexCovariate biological_sex

What item codes and covariate values stand for is in the source’s codebook, 2902221.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("hatemi_2017_sex_freq")
# Python
pip install irw

import irw
df = irw.fetch("hatemi_2017_sex_freq")

How to cite

@article{Hatemi_2017, title={The relationship between sexual preferences and political orientations: Do positions in the bedroom affect positions in the ballot box?}, volume={105}, ISSN={0191-8869}, url={http://dx.doi.org/10.1016/j.paid.2016.10.008}, DOI={10.1016/j.paid.2016.10.008}, journal={Personality and Individual Differences}, publisher={Elsevier BV}, author={Hatemi, Peter K. and Crabtree, Charles and McDermott, Rose}, year={2017}, month=Jan, pages={318–325} }

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_5 v8.5
Redivis dataset DOI10.57761/41xy-5k56
Manifest pin for this IRW versionv8.5
Metadata sourceirw_meta v44.0