2,970 responses from 211 respondents to 18 items.
One of 2 tables from the same source; this one is the opinion table. The others are listed under Related tables.
| Description | 18-item scale of nurse practitioners' opinions on the effectiveness of recommended health-literate communication techniques |
|---|---|
| Reference | Koo LW, Horowitz AM, Radice SD, Wang MQ, Kleinman DV (2016) Nurse Practitioners' Use of Communication Techniques: Results of a Maryland Oral Health Literacy Survey. PLoS ONE 11(1): e0146545. |
| DOI | 10.1371/journal.pone.0146545 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0146545.s001 |
| Responses | 2,970 |
|---|---|
| Respondents | 211 |
| Items | 18 |
| Response categories | 4 |
| Responses per respondent | 14.076 |
| Responses per item | 165 |
| Density | 0.782 |
| Longitudinal | FALSE |
| sample | Workplace |
|---|---|
| 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, koo_2016_communication.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). | ID |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
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:
# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("koo_2016_comm_technique_opinion")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("koo_2016_comm_technique_opinion")
@article{Koo_2016, title={Nurse Practitioners’ Use of Communication Techniques: Results of a Maryland Oral Health Literacy Survey}, volume={11}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0146545}, DOI={10.1371/journal.pone.0146545}, number={1}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Koo, Laura W. and Horowitz, Alice M. and Radice, Sarah D. and Wang, Min Q. and Kleinman, Dushanka V.}, editor={Divaris, Kimon}, year={2016}, month=Jan, pages={e0146545} }
| IRW version | v540 |
|---|---|
| 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 v37.0 |