35,350 responses from 1,414 respondents to 25 items.
| Description | Disgust scale |
|---|---|
| Reference | Berger Uri; Anaki David, 2015, "Data from paper "Demographic influences on disgust: Evidence from a heterogeneous sample."", https://doi.org/10.7910/DVN/27285, Harvard Dataverse, V1, UNF:5:BUU44xvavKQ3Bl8nZE0B5g== [fileUNF] Berger, U., & Anaki, D. (2015). Data from “Demographic Influences on Disgust: Evidence from A Heterogeneous Sample. Journal of Open Psychology Data, 3(1), e1-e1. |
| DOI | 10.5334/jopd.ag |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/file.xhtml?persistentId=doi:10.7910/DVN/27285/BIAZ0B&version=1.0 |
| Responses | 35,350 |
|---|---|
| Respondents | 1,414 |
| Items | 25 |
| Response categories | 5 |
| Responses per respondent | 25 |
| Responses per item | 1,414 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng, heb |
| construct name | Berger and Anaki disgust scale |
cov_agecov_educationcov_gendercov_politicalcov_religioniditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("disgust_berger2014")
# Python
pip install irw
import irw
df = irw.fetch("disgust_berger2014")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |