liu_2017_ssrs_support

3,510 responses from 350 respondents to 10 items.

One of 7 tables from the same source; this one is the ssrs_support table. The others are listed under Related tables.

About this table

DescriptionObjectively Assessed Exercise Behavior in Chinese Patients with Early-Stage Cancer: communication, medical coping (MCMQ), social support (SSRS), benefit-finding, and quality-of-life batteries
ReferenceLiu, Z., Zhang, L., Shi, S. et al. (2017). Objectively Assessed Exercise Behavior in Chinese Patients with Early-Stage Cancer. PLOS ONE. https://doi.org/10.1371/journal.pone.0169375
DOI10.1371/journal.pone.0169375
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0169375

Size and shape

Responses3,510
Respondents350
Items10
Response categories18
Responses per respondent10.029
Responses per item351
Density1.003
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleClinical
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)chi

Item text

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

InstrumentSocial Support Rating Scale (SSRS; 社会支持评定量表)
Mean words per item29.265
Mean characters per item175.592
Mean characters per response6.837
Flesch-Kincaid grade level5.680

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, liu_2017_cancer_exercise.py. 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.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).NO
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate AGE
cov_genderCovariate GENDER
cov_nationCovariate NATION

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

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

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("liu_2017_ssrs_support")
# Python
pip install irw

import irw
df = irw.fetch("liu_2017_ssrs_support")

How to cite

@article{Liu_2017, title={Objectively Assessed Exercise Behavior in Chinese Patients with Early-Stage Cancer: A Predictor of Perceived Benefits, Communication with Doctors, Medical Coping Modes, Depression and Quality of Life}, volume={12}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0169375}, DOI={10.1371/journal.pone.0169375}, number={1}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Liu, Zhunzhun and Zhang, Lanfeng and Shi, Songsong and Xia, Wenkai}, editor={Li, Dongmei}, year={2017}, month=Jan, pages={e0169375} }

Version and provenance

IRW versionv557
Redivis datasetitem_response_warehouse_3 v13.0
Redivis dataset DOI10.57761/gpg7-sg87
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v40.0