7,200 responses from 600 respondents to 12 items.
One of 5 tables from the same source; this one measures Difficulties due to health conditions asked of refugees. The others are listed under Related tables.
| Description | Difficulties due to health conditions asked of refugees |
|---|---|
| Reference | Le Roch, K., Bubendorff, P., Rahaman, K. S., Clouin, L., Lasater, M., Tonon, B., … Nguyen, A. (2024, May 15). Supervision and training to support implementation of a flexible psychosocial support program for refugee mothers and babies: A case study of Baby Friendly Spaces in Cox’s Bazar, Bangladesh. https://doi.org/10.31219/osf.io/vq3ty |
| DOI | 10.31219/osf.io/vq3ty |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/4xzr8/ |
| Responses | 7,200 |
|---|---|
| Respondents | 600 |
| Items | 12 |
| Response categories | 5 |
| Responses per respondent | 12 |
| Responses per item | 600 |
| 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) | eng |
| construct name | Difficulties due to health conditions asked of refugees |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Difficulties due to health conditions asked of refugees |
|---|---|
| Mean words per item | 7.833 |
| Mean characters per item | 48.750 |
| Mean characters per response | 8.400 |
| Flesch-Kincaid grade level | 7.688 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, HEARD_Roch_2022.R. 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 |
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("HEARD_Roch_2022_WHODAS")
# Python
pip install irw
import irw
df = irw.fetch("HEARD_Roch_2022_WHODAS")
@article{Le_Roch_2024, title={Supervision and training to support implementation of a flexible psychosocial support program for refugee mothers and babies: A case study of Baby Friendly Spaces in Cox’s Bazar, Bangladesh}, url={http://dx.doi.org/10.31219/osf.io/vq3ty}, DOI={10.31219/osf.io/vq3ty}, publisher={Center for Open Science}, author={Le Roch, Karine and Bubendorff, Pauline and Rahaman, K. Shafiur and Clouin, Laetitia and Lasater, Molly and Tonon, Brigitte and Berg, Kim and Murray, Sarah and Nguyen, Amanda}, year={2024}, month=may }
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse v70.0 |
| Redivis dataset DOI | 10.57761/4qxs-pq87 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v39.0 |