20,920 responses from 1,046 respondents to 20 items.
| Description | A subset of data (N = 1046, Mean age = 51.33, SD = 14.56, 57% Female) from the ANES 2008-2009 Panel Study Off Wave Questionnaires, December 2009 (DeBell et al., 2010), with complete responses on a pilot version of the Judgment subscale from what became the Moral Foundations Questionnaire |
|---|---|
| Reference | Forsberg, E. (2024). D3mirt: Descriptive three-dimensional multidimensional item response theory for R. Journal of Open Source Software, 9(99), 6523. https://doi.org/10.21105/joss.06523 |
| DOI | 10.21105/joss.06523 |
| Licence | CC BY 4.0 |
| Source data | https://cran.r-project.org/web/packages/D3mirt/refman/D3mirt.html#anes0809offwaves |
| Responses | 20,920 |
|---|---|
| Respondents | 1,046 |
| Items | 20 |
| Response categories | 6 |
| Responses per respondent | 20 |
| Responses per item | 1,046 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Representative |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Moral Preferences |
cov_agecov_genderiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("dmirt_forsberg_2024")
# Python
pip install irw
import irw
df = irw.fetch("dmirt_forsberg_2024")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |