3,365 responses from 739 respondents to 3 items.
One of 3 tables from the same source; this one is the child_hygiene_behavior table. The others are listed under Related tables.
| Description | 3-item child oral-hygiene behavior scale (1-5 Likert), 3 waves (baseline/1yr/2nd follow-up), Tehran schoolchildren (n=739) |
|---|---|
| Reference | Babaei et al. (2023). One-year oral health outcome of a community-based trial in schoolchildren aged 6-7 years old in Tehran, Iran. PLOS ONE. |
| DOI | 10.1371/journal.pone.0284366 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0284366 |
| Responses | 3,365 |
|---|---|
| Respondents | 739 |
| Items | 3 |
| Response categories | 5 |
| Responses per respondent | 4.553 |
| Responses per item | 1121.667 |
| Density | 1.518 |
| Longitudinal | TRUE |
| sample | Educational |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | per |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, babaei_2023_oral_health.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 |
wave | IRW standard Longitudinal wave indicator. | made in the build script |
| Respondent covariates | ||
cov_district | Covariate | District |
cov_gender | Covariate 0 = girl · 1 = boy | Gender |
cov_group | Covariate 1 = control · 2 = intervention | IC |
Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled 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("babaei_2023_child_hygiene_behavior")
# Python
pip install irw
import irw
df = irw.fetch("babaei_2023_child_hygiene_behavior")
@article{Babaei_2023, title={One-year oral health outcome of a community-based trial in schoolchildren aged 6–7 years old in Tehran, Iran}, volume={18}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0284366}, DOI={10.1371/journal.pone.0284366}, number={4}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Babaei, Azadeh and Pakdaman, Afsaneh and Shamshiri, Ahmad Reza and Khazaei, Pegah and Hessari, Hossein}, editor={Chaubal, Tanay}, year={2023}, month=Apr, pages={e0284366} }
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v13.0 |
| Redivis dataset DOI | 10.57761/w8zx-td92 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v39.0 |