dmirt_forsberg_2024

20,920 responses from 1,046 respondents to 20 items.

About this table

DescriptionA 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
ReferenceForsberg, 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
DOI10.21105/joss.06523
LicenceCC BY 4.0
Source datahttps://cran.r-project.org/web/packages/D3mirt/refman/D3mirt.html#anes0809offwaves

Size and shape

Responses20,920
Respondents1,046
Items20
Response categories6
Responses per respondent20
Responses per item1,046
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleRepresentative
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameMoral Preferences

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, dmirt_forsberg_2024.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.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate W3Xage
cov_genderCovariate W3XGENDER

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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("dmirt_forsberg_2024")
# Python
pip install irw

import irw
df = irw.fetch("dmirt_forsberg_2024")

How to cite

@article{Forsberg_2024, title={D3mirt: Descriptive Three-Dimensional Multidimensional
Item Response Theory for R}, volume={9}, ISSN={2475-9066}, url={http://dx.doi.org/10.21105/joss.06523}, DOI={10.21105/joss.06523}, number={99}, journal={Journal of Open Source Software}, publisher={The Open Journal}, author={Forsberg, Erik}, year={2024}, month=jul, pages={6523} }

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse_2 v33.0
Redivis dataset DOI10.57761/6m04-m698
Manifest pin for this IRW versionv33.0
Metadata sourceirw_meta v43.0