13,720 responses from 1,372 respondents to 10 items.
One of 4 tables from the same source; this one is the care_measure table. The others are listed under Related tables.
| Description | CARE Measure (10 items) rated by patients about physician empathy, pooled across 4 sub-studies |
|---|---|
| Reference | Kraft-Todd GT, Reinero DA, Kelley JM, Heberlein AS, Baer L, Riess H (2017). Empathic nonverbal behavior increases ratings of both warmth and competence in a medical context. PLOS ONE, 12(5), e0177758. https://doi.org/10.1371/journal.pone.0177758 |
| DOI | 10.1371/journal.pone.0177758 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0177758.s003 |
| Responses | 13,720 |
|---|---|
| Respondents | 1,372 |
| Items | 10 |
| Response categories | 6 |
| Responses per respondent | 10 |
| Responses per item | 1,372 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, kraft_todd_2017_empathic_nonverbal.py. 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). | subid |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_condition_coat | Covariate | condcoat |
cov_condition_empathy | Covariate | condemp |
cov_sex | Covariate | sex |
cov_study | Covariate | study |
What item codes and covariate values stand for is in the codebook released with the source data.
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("kraft_todd_2017_care_measure")
# Python
pip install irw
import irw
df = irw.fetch("kraft_todd_2017_care_measure")
@article{Kraft_Todd_2017, title={Empathic nonverbal behavior increases ratings of both warmth and competence in a medical context}, volume={12}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0177758}, DOI={10.1371/journal.pone.0177758}, number={5}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Kraft-Todd, Gordon T. and Reinero, Diego A. and Kelley, John M. and Heberlein, Andrea S. and Baer, Lee and Riess, Helen}, editor={Ruben, Mollie A}, year={2017}, month=May, pages={e0177758} }
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v13.0 |
| Redivis dataset DOI | 10.57761/gpg7-sg87 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v43.0 |