9,860 responses from 2,474 respondents to 4 items.
One of 6 tables from the same source; this one is the stigma table. The others are listed under Related tables.
| Description | Stigma, 4 items on a 0-4 scale, Danish welfare recipients facing compulsory meetings; the item block was recovered from the file's stigma_add composite, which is their exact mean. 9,860 responses from 2,474 respondents on 4 items. |
|---|---|
| Reference | Baekgaard, M., & Madsen, J. K. (2023). Replication data and R script for "Anticipated administrative burdens: How proximity to upcoming compulsory meetings affect welfare recipients' experiences" [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7742956 |
| Licence | CC BY 4.0 |
| Source data | https://zenodo.org/records/7742956 |
| Responses | 9,860 |
|---|---|
| Respondents | 2,474 |
| Items | 4 |
| Response categories | 5 |
| Responses per respondent | 3.985 |
| Responses per item | 2,465 |
| Density | 0.996 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Program-based |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | dan |
This codebook is reconstructed by the IRW from the IRW data standard. 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). | not traced |
item | IRW standard Item identifier. | not traced |
resp | IRW standard Response value. | not traced |
| Respondent covariates | ||
cov_age | Covariate | not traced |
cov_cohabitant | Covariate | not traced |
cov_gender | Covariate | not traced |
cov_meeting_attendance | Covariate 0 = Nej · 1 = Om mere end 2 uger · 2 = Om 1-2 uger · 3 = Inden for en uge | not traced |
Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled values stand for is in the codebook released with the source data.
Or load it directly in R or Python:
# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("baekgaard_2023_stigma")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("baekgaard_2023_stigma")
@misc{https://doi.org/10.5281/zenodo.7742956,
doi = {10.5281/ZENODO.7742956},
url = {https://zenodo.org/record/7742956},
author = {Baekgaard, Martin and Madsen, Jonas Krogh},
title = {Replication data and R script for 'Anticipated administrative burdens: How proximity to upcoming compulsory meetings affect welfare recipients' experiences of administrative burden'},
publisher = {Zenodo},
year = {2023},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v540 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.0 |
| Redivis dataset DOI | 10.57761/dkjz-6x68 |
| Manifest pin for this IRW version | v8.0 |
| Metadata source | irw_meta v37.0 |