niazi_2020_mfq

9,600 responses from 300 respondents to 32 items.

About this table

Description32-item Moral Foundations Questionnaire (MFQ-32), respondents' own moral judgments
ReferenceNiazi F, Inam A, Akhtar Z (2020). Accuracy of consensual stereotypes in moral foundations: A gender analysis. PLOS ONE, 15(3), e0229926. https://doi.org/10.1371/journal.pone.0229926
DOI10.1371/journal.pone.0229926
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0229926.s002

Size and shape

Responses9,600
Respondents300
Items32
Response categories6
Responses per respondent32
Responses per item300
Density1
LongitudinalFALSE

Classification

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

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentMoral Foundations Questionnaire (MFQ30, full version, July 2008)
Mean words per item10.906
Mean characters per item60.781
Mean characters per response28.917
Flesch-Kincaid grade level6.549

Columns

cov_agecov_educationcov_genderiditemresp

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("niazi_2020_mfq")
# Python
pip install irw

import irw
df = irw.fetch("niazi_2020_mfq")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0