407 responses from 37 respondents to 11 items.
One of 5 tables from the same source; this one measures Korean Screening Tool for Anxiety Disorders (K-ANX). The others are listed under Related tables.
| Description | Anxiety scale (11 items), quasi-experimental wellness program for unmarried mothers |
|---|---|
| Reference | Bang K-S, Kim S, Choi S, Lee G, Kim M, Shin D-A (2023). Effectiveness of a natural wellness group program using interactive real-time video for unmarried mothers: A quasi-experimental study. PLOS ONE, 18(4), e0284340. https://doi.org/10.1371/journal.pone.0284340 |
| DOI | 10.1371/journal.pone.0284340 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0284340.s004 |
| Responses | 407 |
|---|---|
| Respondents | 37 |
| Items | 11 |
| Response categories | 5 |
| Responses per respondent | 11 |
| Responses per item | 37 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Program-based |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | kor |
| construct name | Korean Screening Tool for Anxiety Disorders (K-ANX) |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, bang_2023_wellness_program.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). | no |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
treat | IRW standard Treatment group assignment in experimental studies. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | age |
What item codes and covariate values stand for is in the source’s codebook, Data dictionary (sheet in S1_Dataset.xlsx).
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("bang_2023_anxiety")
# Python
pip install irw
import irw
df = irw.fetch("bang_2023_anxiety")
@article{Bang_2023, title={Effectiveness of a natural wellness group program using interactive real-time video for unmarried mothers: A quasi-experimental study}, volume={18}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0284340}, DOI={10.1371/journal.pone.0284340}, number={4}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Bang, Kyung-Sook and Kim, Sungjae and Choi, Sinyoung and Lee, Gumhee and Kim, Misook and Shin, Da-Ae}, editor={Cwik, Jan Christopher}, year={2023}, month=Apr, pages={e0284340} }
| IRW version | v549 |
|---|---|
| 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 v39.0 |