janoffbulman_2016_moralmotives_s1
9,330 responses from 311 respondents to 30 items.
About this table
| Description | 30-item Model of Moral Motives (MMM) Scale, Study 1 (6 five-item subscales: proscriptive/prescriptive x self/other/group, 1-7 agreement) |
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| Reference | Janoff-Bulman R, Carnes NC (2016) Social Justice and Social Order: Binding Moralities across the Political Spectrum. PLoS ONE. |
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| DOI | 10.1371/journal.pone.0152479 |
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| Licence | CC BY 4.0 |
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| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0152479.s001 |
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Size and shape
| Responses | 9,330 |
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| Respondents | 311 |
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| Items | 30 |
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| Response categories | 7 |
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| Responses per respondent | 30 |
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| Responses per item | 311 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Adult (18+) |
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| sample | Internet-based |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | eng |
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Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Model of Moral Motives (MMM) Scale |
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| Mean words per item | 14.567 |
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| Mean characters per item | 83.700 |
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| Mean characters per response | 5.857 |
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| Flesch-Kincaid grade level | 9.164 |
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Columns
cov_agecov_femaleiditemresp
Get the data
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_s1")
# Python
pip install irw
import irw
df = irw.fetch("janoffbulman_2016_moralmotives_s1")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_4 v7.0 |
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| Redivis dataset DOI | 10.57761/cpj5-vm97 |
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| Manifest pin for this IRW version | v7.0 |
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| Metadata source | irw_meta v23.0 |
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