1,854 responses from 103 respondents to 18 items.
One of 4 tables from the same source; this one is the bsi18_mother table. The others are listed under Related tables.
| Description | Brief Symptom Inventory-18 (18 items, 0-4), mother's report, N=103 couples whose child was treated for leukemia (PETALE study). |
|---|---|
| Reference | Burns W, Peloquin K, Rondeau E, Drouin S, Bertout L, Lacoste-Julien A, Krajinovic M, Laverdiere C, Sinnett D, Sultan S (2018). Cancer-related effects on relationships, long-term psychological status and relationship satisfaction in couples whose child was treated for leukemia: A PETALE study. PLOS ONE 13(9):e0203435. |
| DOI | 10.1371/journal.pone.0203435 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0203435 |
| Responses | 1,854 |
|---|---|
| Respondents | 103 |
| Items | 18 |
| Response categories | 5 |
| Responses per respondent | 18 |
| Responses per item | 103 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Clinical |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| construct name | Brief Symptom Inventory-18 (BSI-18) |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, burns_2018_petale.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). | PT |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
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("burns_2018_bsi18_mother")
# Python
pip install irw
import irw
df = irw.fetch("burns_2018_bsi18_mother")
@article{Burns_2018, title={Cancer-related effects on relationships, long-term psychological status and relationship satisfaction in couples whose child was treated for leukemia: A PETALE study}, volume={13}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0203435}, DOI={10.1371/journal.pone.0203435}, number={9}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Burns, Willow and Péloquin, Katherine and Rondeau, Émélie and Drouin, Simon and Bertout, Laurence and Lacoste-Julien, Ariane and Krajinovic, Maja and Laverdière, Caroline and Sinnett, Daniel and Sultan, Serge}, editor={Wijnberg-Williams, Barbara J.}, year={2018}, month=Sept, pages={e0203435} }
| 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 |