5,664 responses from 472 respondents to 12 items.
One of 12 tables from the same source; this one measures NEO Five-Factor Inventory (NEO-FFI) - Agreeableness. The others are listed under Related tables.
| Description | NEO-FFI-3 Agreeableness subscale (12 items), 1-5 Likert, N=472 nurses (Jordan/Saudi Arabia EHR continuance-intention study). |
|---|---|
| Reference | Alsyouf A, Alsubahi N, Alali H, Lutfi A, Al-Mugheed KA, Alrawad M, Almaiah MA, Anshasi RJ, Alhazmi FN, Sawhney D (2024). Nurses' continuance intention to use electronic health record systems: The antecedent role of personality and organisation support. PLOS ONE 19(10):e0300657. |
| DOI | 10.1371/journal.pone.0300657 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0300657 |
| Responses | 5,664 |
|---|---|
| Respondents | 472 |
| Items | 12 |
| Response categories | 5 |
| Responses per respondent | 12 |
| Responses per item | 472 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Personality |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ara |
| construct name | NEO Five-Factor Inventory (NEO-FFI) - Agreeableness |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, alsyouf_2024_ehr.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 |
| Respondent covariates | ||
cov_age | Covariate | age |
cov_department | Covariate | dep.Name |
cov_education | Covariate | edu |
cov_gender | Covariate | gender |
cov_hospital | Covariate | hos.Name |
cov_professional_experience | Covariate | prof.exp |
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("alsyouf_2024_agreeableness")
# Python
pip install irw
import irw
df = irw.fetch("alsyouf_2024_agreeableness")
@article{Alsyouf_2024, title={Nurses’ continuance intention to use electronic health record systems: The antecedent role of personality and organisation support}, volume={19}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0300657}, DOI={10.1371/journal.pone.0300657}, number={10}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Alsyouf, Adi and Alsubahi, Nizar and Alali, Haitham and Lutfi, Abdalwali and Al-Mugheed, Khalid Anwer and Alrawad, Mahmaod and Almaiah, Mohammed Amin and Anshasi, Rami J. and Alhazmi, Fahad N. and Sawhney, Disha}, editor={De Rosis, Sabina}, year={2024}, month=Oct, pages={e0300657} }
| 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 |