4,507 responses from 318 respondents to 14 items.
| Description | AbilitiCBT is focused on mental health and users go through 10 weekly self-paced online modules that teach techniques to help individuals understand and cope with mental illness symptoms based on the principles of Cognitive Behavioral Therapy (CBT) while a therapist monitors progress |
|---|---|
| Reference | Rioux, C., Konkin, A., MacKinnon, A. L., Tomfohr-Madsen, L., & Roos, L. E. (2025, June 2). MTurk Parent eHealth Preference Survey. https://doi.org/10.17605/OSF.IO/J7D2Q |
| DOI | 10.5334/jopd.127 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/j7d2q/overview |
| Responses | 4,507 |
|---|---|
| Respondents | 318 |
| Items | 14 |
| Response categories | 91 |
| Responses per respondent | 14.173 |
| Responses per item | 321.929 |
| Density | 1.012 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Slider/continuous |
| primary language(s) | eng |
| construct name | Questions on AbilitiCBT |
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Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("ehealth_rioux_2025_abiliti")
# Python
pip install irw
import irw
df = irw.fetch("ehealth_rioux_2025_abiliti")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |