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 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, il_hte_44.R. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | not traced |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | not traced |
treat | IRW standard Treatment group assignment in experimental studies. | Randomized_group |
wave | IRW standard Longitudinal wave indicator. | not traced |
| Respondent covariates | ||
cov_age | Covariate | Age |
cov_educ | Covariate | Education |
cov_sex | Covariate | Sex |
| Other columns | ||
tot | From source Not defined by the IRW standard; the source column’s codebook entry gives its meaning. | mITT |
What item codes and covariate values stand for is in the codebook released with the source data.
Licence: CC BY-NC 4.0 — non-commercial use only.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# 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")
@article{Lee_2021, title={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}, volume={37}, ISSN={1099-1166}, url={http://dx.doi.org/10.1002/gps.5616}, DOI={10.1002/gps.5616}, number={1}, journal={International Journal of Geriatric Psychiatry}, publisher={Wiley}, author={Lee, Eric Kam‐Pui and Wong, Bel and Chan, Peter Hoi Shing and Zhang, Daisy Dexing and Sun, Wen and Chan, Dicken Cheong‐Chun and Gao, Ting and Ho, Florence and Kwok, Timothy Chi Yui and Wong, Samuel Yeung‐Shan}, year={2021}, month=aug }
| IRW version | v569 |
|---|---|
| Redivis dataset | item_response_warehouse v71.0 |
| Redivis dataset DOI | 10.57761/f5n4-k797 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v43.0 |