13,636 responses from 974 respondents to 14 items.
| Description | Hospital Anxiety and Depression Scale-style items, female Instagram users, 14 items, N=974 |
|---|---|
| Reference | Jablonska, M. R., et al. (2020). Artificial neural networks for predicting social comparison effects among female Instagram users. PLOS ONE. |
| DOI | 10.1371/journal.pone.0229354 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0229354 |
| Responses | 13,636 |
|---|---|
| Respondents | 974 |
| Items | 14 |
| Response categories | 7 |
| Responses per respondent | 14 |
| Responses per item | 974 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based, Targeted/specific |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | pol |
| construct name | Hospital Anxiety and Depression Scale (HADS) |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("jablonska_2020_hads")
# Python
pip install irw
import irw
df = irw.fetch("jablonska_2020_hads")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |