COACH_Chen_2022_CSQ

18,891 responses from 2,362 respondents to 8 items.

About this table

DescriptionConsultation Satisfaction Questionnaire short form (CSQ-9), items 1-8, 5-point agree-disagree
ReferenceChen, 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
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/6RWH41

Size and shape

Responses18,891
Respondents2,362
Items8
Response categories5
Responses per respondent7.998
Responses per item2361.375
Density1.000
LongitudinalFALSE

Classification

age rangeElderly (minimum age >50)
sampleClinical
construct typeAffective/mental health
measurement toolObservational rating
item formatConstructed Response
primary language(s)chi
construct nameThe Chinese Older Adult Collaborations in Health (COACH) Study

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentConsultation Satisfaction Questionnaire (CSQ; Baker 1990 short form), labelled "Customer Satisfaction Questionnaire" in the study codebook
Mean words per item10.375
Mean characters per item57.500
Mean characters per response10.200
Flesch-Kincaid grade level6.345

Columns

iditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("COACH_Chen_2022_CSQ")
# Python
pip install irw

import irw
df = irw.fetch("COACH_Chen_2022_CSQ")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse v53.0
Redivis dataset DOI10.57761/4g08-xt41
Manifest pin for this IRW versionv53.0
Metadata sourceirw_meta v23.0