5,778 responses from 318 respondents to 16 items.
| Description | Professional Decision-Making in Medicine (PDM) measure, 16 binary correct/incorrect items, pre/post wave, medical trainees |
|---|---|
| Reference | Antes AL, Dineen KK, Bakanas E, Zahrli T, Keune JD, Schuelke MJ, et al. (2020) Professional decision-making in medicine: Development of a new measure and preliminary evidence of validity. PLoS ONE. |
| DOI | 10.1371/journal.pone.0228450 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0228450.s001 |
| Responses | 5,778 |
|---|---|
| Respondents | 318 |
| Items | 16 |
| Response categories | 2 |
| Responses per respondent | 18.170 |
| Responses per item | 361.125 |
| Density | 1.136 |
| Longitudinal | TRUE |
| sample | Educational |
|---|---|
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
cov_is_femalecov_sampleiditemrespwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("antes_2020_pdm")
# Python
pip install irw
import irw
df = irw.fetch("antes_2020_pdm")
| 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 |