967 responses from 323 respondents to 3 items.
| Description | HPB-Bloat health promoting behaviour scale, health awareness subscale (3 items), abdominal bloating study |
|---|---|
| Reference | Abdullah et al. (2024). Structural equation models of health behaviour, psychological well-being, symptom severity and quality of life in abdominal bloating. PeerJ. |
| DOI | 10.7717/peerj.17265 |
| Licence | CC BY 4.0 |
| Source data | https://europepmc.org/article/PMC/PMC11067892 |
| Responses | 967 |
|---|---|
| Respondents | 323 |
| Items | 3 |
| Response categories | 5 |
| Responses per respondent | 2.994 |
| Responses per item | 322.333 |
| Density | 0.998 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Clinical |
| construct type | Behavioral |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | may |
| construct name | Health Promoting Behaviour for Bloating (HPB-Bloat) scale - health awareness subscale |
cov_bmiiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("abdullah_2024_hpbbloat_awareness")
# Python
pip install irw
import irw
df = irw.fetch("abdullah_2024_hpbbloat_awareness")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |