14,729 responses from 243 respondents to 22 items.
| Description | Mental health in an RCT |
|---|---|
| Reference | https://onlinelibrary.wiley.com/doi/abs/10.1002/gps.5616 |
| DOI | 10.1002/gps.5616 |
| Licence | CC BY-NC 4.0 |
| Source data | https://researchdata.cuhk.edu.hk/dataset.xhtml?persistentId=doi:10.48668/14WHSL |
| Responses | 14,729 |
|---|---|
| Respondents | 243 |
| Items | 22 |
| Response categories | 6 |
| Responses per respondent | 60.613 |
| Responses per item | 669.500 |
| Density | 2.755 |
| Longitudinal | TRUE |
| age range | Elderly (minimum age >50) |
|---|---|
| sample | Clinical |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| construct name | Effectiveness of a mindfulness intervention for older adults to improve emotional well-being and cognitive function in a Chinese population: A randomized waitlist-controlled trial |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Mental health in an RCT |
|---|---|
| Mean words per item | 7.462 |
| Mean characters per item | 39.585 |
| Mean characters per response | 7.400 |
| Flesch-Kincaid grade level | 3.329 |
cov_agecov_educcov_sexiditemresptottreatwave
Licence: CC BY-NC 4.0 — non-commercial use only.
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_44")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_44")
| 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 |