3,510 responses from 350 respondents to 10 items.
| Description | Objectively Assessed Exercise Behavior in Chinese Patients with Early-Stage Cancer: communication, medical coping (MCMQ), social support (SSRS), benefit-finding, and quality-of-life batteries |
|---|---|
| Reference | Liu, 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 |
| DOI | 10.1371/journal.pone.0169375 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0169375 |
| Responses | 3,510 |
|---|---|
| Respondents | 350 |
| Items | 10 |
| Response categories | 18 |
| Responses per respondent | 10.029 |
| Responses per item | 351 |
| Density | 1.003 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Clinical |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Social Support Rating Scale (SSRS; 社会支持评定量表) |
|---|---|
| Mean words per item | 29.265 |
| Mean characters per item | 175.592 |
| Mean characters per response | 6.837 |
| Flesch-Kincaid grade level | 5.680 |
cov_agecov_gendercov_nationiditemresp
Or load it directly in R or Python:
# 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")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |