janoffbulman_2016_moralmotives_s2

8,850 responses from 295 respondents to 30 items.

About this table

Description30-item Model of Moral Motives (MMM) Scale, Study 2 (6 five-item subscales: proscriptive/prescriptive x self/other/group, 1-7 agreement)
ReferenceJanoff-Bulman R, Carnes NC (2016) Social Justice and Social Order: Binding Moralities across the Political Spectrum. PLoS ONE.
DOI10.1371/journal.pone.0152479
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0152479.s002

Size and shape

Responses8,850
Respondents295
Items30
Response categories7
Responses per respondent30
Responses per item295
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleInternet-based
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.

InstrumentModel of Moral Motives (MMM) Scale
Mean words per item14.600
Mean characters per item83.600
Mean characters per response5.857
Flesch-Kincaid grade level9.108

Columns

cov_agecov_femaleiditemresp

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("janoffbulman_2016_moralmotives_s2")
# Python
pip install irw

import irw
df = irw.fetch("janoffbulman_2016_moralmotives_s2")

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