202,960 responses from 10,148 respondents to 20 items.
One of 2 tables from the same source; this one measures Self-Reporting Questionnaire (SRQ-20), common mental disorders. The others are listed under Related tables.
| Description | WHO Self-Reporting Questionnaire (SRQ-20), 20 items, 0/1; N = 10,148 Brazilian teachers (two split-half samples, cov_sample); demographics as above. |
|---|---|
| Reference | Pinheiro, F. P. H. A. (2024). Datasets used to evaluate the psychometric properties of the Negative Acts Questionnaire-Revised (NAQ-R) [Data set]. figshare. https://doi.org/10.6084/m9.figshare.24955368.v2 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.6084/m9.figshare.24955368.v2 |
| Responses | 202,960 |
|---|---|
| Respondents | 10,148 |
| Items | 20 |
| Response categories | 2 |
| Responses per respondent | 20 |
| Responses per item | 10,148 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | por |
| construct name | Self-Reporting Questionnaire (SRQ-20), common mental disorders |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, pinheiro_2024_naqr.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 |
cov_education | Covariate | edu_bg |
cov_race | Covariate | race |
cov_region | Covariate | region |
cov_sample | Covariate | made in the build script |
cov_sex | Covariate | sex |
cov_teaching_level | Covariate | edu_levels |
cov_teaching_years | Covariate | teaching_xp |
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("pinheiro_2024_srq20")
# Python
pip install irw
import irw
df = irw.fetch("pinheiro_2024_srq20")
@misc{https://doi.org/10.6084/m9.figshare.24955368.v2,
doi = {10.6084/M9.FIGSHARE.24955368.V2},
url = {https://figshare.com/articles/dataset/Datasets_used_in_the_paper_Assessing_Workplace_Bullying_Psychometric_Analysis_of_the_Negative_Acts_Questionnaire-Revised_NAQ-R_Among_Brazilian_Teachers_/24955368/2},
author = {Aragão Pinheiro, Francisco Pablo Huascar},
keywords = {Other psychology not elsewhere classified},
title = {Datasets used to evaluate the psychometric properties of the Negative Acts Questionnaire-Revised (NAQ-R)},
publisher = {figshare},
year = {2024},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v607 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v10.0 |
| Redivis dataset DOI | 10.57761/45xf-md22 |
| Manifest pin for this IRW version | v9.0 |
| Metadata source | irw_meta v47.0 |