11,312 responses from 1,259 respondents to 9 items.
One of 3 tables from the same source; this one is the snaq table. The others are listed under Related tables.
| Description | Short Negative Acts Questionnaire (S-NAQ-9) workplace bullying, 9 items on exposure in the past six months (1 never .. 5 daily), registered nurses in Bangladesh surveyed online and in eight tertiary hospitals, February-July 2021. 11,312 responses from 1,259 respondents on 9 items. |
|---|---|
| Reference | Kabir H, Chowdhury SR, Roy AK, Chowdhury SA, Islam MN, Chomon RJ, Akter M, Hossain A (2023). Association of workplace bullying and burnout with nurses' suicidal ideation in Bangladesh. Scientific Reports, 13, 14641. https://doi.org/10.1038/s41598-023-41594-4 |
| DOI | 10.1038/s41598-023-41594-4 |
| Licence | CC BY 4.0 |
| Source data | https://europepmc.org/article/PMC/PMC10480219 |
| Responses | 11,312 |
|---|---|
| Respondents | 1,259 |
| Items | 9 |
| Response categories | 5 |
| Responses per respondent | 8.985 |
| Responses per item | 1256.889 |
| Density | 0.998 |
| 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, kabir_2023_nurse_bullying.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). | made in the build script |
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_cont |
cov_department | Covariate | Department_new |
cov_division | Covariate | Division_of_job_center |
cov_education | Covariate | Educational_degree |
cov_experience | Covariate | Total_experience_cat |
cov_gender | Covariate | Gender |
cov_hospital_level | Covariate | Level_of_hospital_new |
cov_income_bdt | Covariate | Income_cat_new |
cov_job_type | Covariate | Type_of_job_new |
cov_marital_status | Covariate | Marital_status_new |
cov_smoking | Covariate | Smoking_status |
cov_sufficient_equipment | Covariate | Sufficient_equipment |
cov_weekly_hours | Covariate | Working_hours_cat |
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("kabir_2023_snaq")
# Python
pip install irw
import irw
df = irw.fetch("kabir_2023_snaq")
@article{Kabir_2023, title={Association of workplace bullying and burnout with nurses’ suicidal ideation in Bangladesh}, volume={13}, ISSN={2045-2322}, url={http://dx.doi.org/10.1038/s41598-023-41594-4}, DOI={10.1038/s41598-023-41594-4}, number={1}, journal={Scientific Reports}, publisher={Springer Science and Business Media LLC}, author={Kabir, Humayun and Chowdhury, Saifur Rahman and Roy, Anjan Kumar and Chowdhury, Samiul Amin and Islam, Md. Nazrul and Chomon, Rifat Jahan and Akter, Masuda and Hossain, Ahmed}, year={2023}, month=Sept }
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.10 |
| Redivis dataset DOI | 10.57761/8zbf-t397 |
| Manifest pin for this IRW version | v5.10 |
| Metadata source | irw_meta v39.0 |