7,388 responses from 2,471 respondents to 3 items.
| Description | Learning, 3 items on a 0-4 scale, Danish welfare recipients facing compulsory meetings; the item block was recovered from the file's learning_add composite, which is their exact mean. 7,388 responses from 2,471 respondents on 3 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 | 7,388 |
|---|---|
| Respondents | 2,471 |
| Items | 3 |
| Response categories | 5 |
| Responses per respondent | 2.990 |
| Responses per item | 2462.667 |
| Density | 0.997 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Program-based |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | dan |
cov_agecov_cohabitantcov_gendercov_meeting_attendanceiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("baekgaard_2023_learning")
# Python
pip install irw
import irw
df = irw.fetch("baekgaard_2023_learning")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v4.0 |
| Redivis dataset DOI | 10.57761/yvjw-0981 |
| Manifest pin for this IRW version | v4.0 |
| Metadata source | irw_meta v23.0 |