10,082 responses from 801 respondents to 13 items.
| Description | 13-item survey on farmers' administrative burden, compliance costs, psychological costs, and knowledge/education (response ranges vary by sub-battery, 1-4 to 1-8), Swiss farmers |
|---|---|
| Reference | Ritzel C, Mack G, Portmann M, Heitkämper K, El Benni N (2020) Empirical evidence on factors influencing farmers' administrative burden: A structural equation modeling approach. PLoS ONE. |
| DOI | 10.1371/journal.pone.0241075 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0241075.s001 |
| Responses | 10,082 |
|---|---|
| Respondents | 801 |
| Items | 13 |
| Response categories | 8 |
| Responses per respondent | 12.587 |
| Responses per item | 775.538 |
| Density | 0.968 |
| Longitudinal | FALSE |
| sample | Workplace |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
cov_regioniditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("ritzel_2020_farmer_burden")
# Python
pip install irw
import irw
df = irw.fetch("ritzel_2020_farmer_burden")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |