13,722 responses from 2,365 respondents to 3 items.
One of 9 tables from the same source; this one is the treatmentStigma table. The others are listed under Related tables.
| Description | Stigma related to receiving medical treatment |
|---|---|
| Reference | Chen, S., Conwell, Y., Xue, J., Li, L. W., Tang, W., Bogner, H. R., & Dong, H. (2018). Protocol of an ongoing randomized controlled trial of care management for comorbid depression and hypertension: the Chinese Older Adult Collaborations in Health (COACH) study. BMC geriatrics, 18, 1-9. Shulin Chen; Yeates Conwell; Jiang Xue; Lydia Li; Tingjie Zhao; Wan Tang; Hillary R. Bogner; Hengjin Dong, 2022, "The Chinese Older Adult Collaborations in Health (COACH) Study", https://doi.org/10.7910/DVN/6RWH41, Harvard Dataverse, V1 |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/6RWH41 |
| Responses | 13,722 |
|---|---|
| Respondents | 2,365 |
| Items | 3 |
| Response categories | 2 |
| Responses per respondent | 5.802 |
| Responses per item | 4,574 |
| Density | 1.934 |
| Longitudinal | TRUE |
| age range | Elderly (minimum age >50) |
|---|---|
| sample | Clinical |
| construct type | Physical health/functioning |
| measurement tool | Observational rating |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
| construct name | The Chinese Older Adult Collaborations in Health (COACH) Study |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Treatment Stigma |
|---|---|
| Mean words per item | 10.667 |
| Mean characters per item | 59.333 |
| Mean characters per response | 2.500 |
| Flesch-Kincaid grade level | 7.376 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, COACH_Chen_2022.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). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
wave | IRW standard Longitudinal wave indicator. | made in the build script |
What item codes and covariate values stand for is in the source’s codebook, COACH_Code Book_Final_version.xlsx.
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("COACH_Chen_2022_treatmentStigma")
# Python
pip install irw
import irw
df = irw.fetch("COACH_Chen_2022_treatmentStigma")
@misc{https://doi.org/10.7910/dvn/6rwh41,
doi = {10.7910/DVN/6RWH41},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/6RWH41},
author = {{Shulin Chen} and {Yeates Conwell} and Xue, Jiang and Li, Lydia and {Tingjie Zhao} and Tang, Wan and R. Bogner, Hillary and {Hengjin Dong}},
keywords = {Medicine, Health and Life Sciences},
title = {The Chinese Older Adult Collaborations in Health (COACH) Study},
publisher = {Harvard Dataverse},
year = {2022}
}
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse v70.0 |
| Redivis dataset DOI | 10.57761/4qxs-pq87 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v43.0 |