1,918 responses from 137 respondents to 14 items.
| Description | European Obesity Academy Questionnaire |
|---|---|
| Reference | Panse Silveira, Paulo Sergio, 2024, "A Tutorial on Systematic Methodology for Psychometric Model Selection: Case Study of the EOAQ-EST", https://doi.org/10.7910/DVN/FCBOGB, Harvard Dataverse, V2 |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/FCBOGB |
| Responses | 1,918 |
|---|---|
| Respondents | 137 |
| Items | 14 |
| Response categories | 5 |
| Responses per respondent | 14 |
| Responses per item | 137 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Affective/mental health, Opinion/attitude, Physical health/functioning |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | por |
| construct name | European Obesity Academy Questionnaire on Expectations about Surgical Treatment (EOAQ-EST) |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("EOAQ-EST_Silveira_2024")
# Python
pip install irw
import irw
df = irw.fetch("EOAQ-EST_Silveira_2024")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |