10,880 responses from 544 respondents to 20 items.
One of 5 tables from the same source; this one measures Moral Foundations Questionnaire, short form (MFQ-20). The others are listed under Related tables.
| Description | Moral Foundations Questionnaire short form (MFQ-20), 20 items (relevance MFT1-11, judgments MFT12-22; the two catch items MFT6, MFT17 removed), 1-6 (the MFQ's 0-5 shifted by one); 544 US public and nonprofit employees; cov_sex, cov_race_binary, cov_job_type, cov_education (source codes; labels undocumented), cov_job_level, cov_sector. |
|---|---|
| Reference | Bland, J. (2024). Replication Data for A Characteristic Adaptation of the Prosocial Default: Unpacking the Role of Causality Orientations and Moral Foundations in Public Service Motivation [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/MHVAJZ |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/MHVAJZ |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 10,880 |
|---|---|
| Respondents | 544 |
| Items | 20 |
| Response categories | 6 |
| Responses per respondent | 20 |
| Responses per item | 544 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Workplace |
|---|---|
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Moral Foundations Questionnaire, short form (MFQ-20) |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, bland_2024_prosocial_default.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | ID |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_education | Covariate | Ed_Ascending |
cov_job_level | Covariate | made in the build script |
cov_job_type | Covariate | Job_Type |
cov_race_binary | Covariate | Race_Binary |
cov_sector | Covariate | made in the build script |
cov_sex | Covariate | Sex |
What item codes and covariate values stand for is in the codebook released with the source data.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("bland_2024_mfq20")
# Python
pip install irw
import irw
df = irw.fetch("bland_2024_mfq20")
@misc{https://doi.org/10.7910/dvn/mhvajz,
doi = {10.7910/DVN/MHVAJZ},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/MHVAJZ},
author = {Bland, James},
keywords = {Other},
title = {Replication Data for A Characteristic Adaptation of the Prosocial Default: The Psychological and Moral Bases of Public Service Motivation},
publisher = {Harvard Dataverse},
year = {2024}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |