2,438 rated or chosen profiles from 306 respondents, in up to 8 tasks of 1 profile varying on 7 attributes.
| Description | UK farm veterinarians (n = 306, postal survey, March 2018) each rated 8 text vignettes in which a sheep or beef farmer asks for antibiotics without a farm visit, with 7 randomized factors (case type, farmer's habit, client relationship, colleagues' past prescribing, willingness to pay for a visit, time pressure, confidence in the farmer); outcomes are the likelihood the vet would prescribe and the share of vets who would. |
|---|---|
| Reference | Doidge, C., Hudson, C., Lovatt, F., & Kaler, J. (2019). To prescribe or not to prescribe? A factorial survey to explore veterinarians' decision making when prescribing antimicrobials to sheep and beef farmers in the UK. PLOS ONE, 14(4), e0213855. |
| DOI | 10.1371/journal.pone.0213855 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/TRR6JJ |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 306 |
|---|---|
| Rows (one per respondent, task and profile) | 2,438 |
| Tasks per respondent (most) | 8 |
| Profiles per task | 1 |
| Attributes | 7 |
| Topic | health covid |
|---|---|
| A profile represents | scenario |
| Country | GB |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | yes (stated by the source): fractional design: vignettes selected from the 384 possible combinations with a resolution-V D-efficient design, then allocated at random to respondents (article Methods) |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead.
Outcomes:
| rating | Based only on the information provided above, how likely or unlikely is the vet to prescribe the farmer with the antibiotic without visiting the farm first? (Please circle) [rating, 1 (Definitely would not prescribe) to 11 (Definitely would prescribe)] |
|---|---|
| rating_others | What proportion of vets do you think would prescribe this farmer antibiotics without visiting the farm first? (Please indicate by drawing a line in the scale) [rating, 1 (unknown) to 10 (unknown)] |
attr_confidenceattr_easeattr_farmerattr_habitattr_knowledgeattr_timeattr_vetcov_age_groupcov_agreeablenesscov_practice_idcov_practice_sacov_regionidprofileratingrating_otherstask
The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.
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("doidge_2019_vet_antimicrobials", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("doidge_2019_vet_antimicrobials", source="conj")
@article{Doidge_2019, title={To prescribe or not to prescribe? A factorial survey to explore veterinarians’ decision making when prescribing antimicrobials to sheep and beef farmers in the UK}, volume={14}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0213855}, DOI={10.1371/journal.pone.0213855}, number={4}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Doidge, Charlotte and Hudson, Chris and Lovatt, Fiona and Kaler, Jasmeet}, editor={Clegg, Simon Russell}, year={2019}, month=Apr, pages={e0213855} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint v4.2 |
| Redivis dataset DOI | 10.57761/qkye-q530 |
| Manifest pin for this IRW version | v4.2 |
| Metadata source | irw_meta v44.0 |