zvi_2022_harassment_perception

2,321 responses from 211 respondents to 11 items.

About this table

Description11-item vignette-perception/blame scale (1-5 Likert), from a study of Israeli lawyers' and law students' decision-making in sexual harassment cases
ReferenceZvi L, Shechory-Bitton M (2022) In the eye of the beholder: Decision-making of lawyers in cases of sexual harassment. PLoS ONE.
DOI10.1371/journal.pone.0272606
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0272606.s001

Size and shape

Responses2,321
Respondents211
Items11
Response categories5
Responses per respondent11
Responses per item211
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational, Workplace
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)heb

Columns

cov_agecov_countrycov_educationcov_family_statuscov_gendercov_groupcov_has_childrencov_perpetratorcov_professioncov_religiositycov_victimcov_years_employmentiditemresp

Get the data

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

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("zvi_2022_harassment_perception")
# Python
pip install irw

import irw
df = irw.fetch("zvi_2022_harassment_perception")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_4 v7.0
Redivis dataset DOI10.57761/cpj5-vm97
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0