Item Response Warehouse / Tables / qiang_2025_job_performanceqiang_2025_job_performance
1,980 responses from 396 respondents to 5 items.
About this table
Description Job performance scale, Chinese retail staff, 5 items, 1-5, N=396 Reference Qiang, Q., et al. (2025). Does the perception of red tape affect the emotional labor of frontline retail staff in China? A post-COVID-19 era. PLOS ONE. DOI 10.1371/journal.pone.0327359 Licence CC BY 4.0 Source data https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0327359
Size and shape
Responses 1,980 Respondents 396 Items 5 Response categories 5 Responses per respondent 5 Responses per item 396 Density 1 Longitudinal FALSE
Classification
sample Workplace measurement tool Survey/questionnaire item format Likert 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.
Instrument Job performance scale (unnamed in the source article; items 17-21 of the study questionnaire) Mean words per item 1 Mean characters per item 2 Mean characters per response 7.400 Flesch-Kincaid grade level -3.400
Columns
cov_age cov_gender id item resp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("qiang_2025_job_performance")
# Python
pip install irw
import irw
df = irw.fetch("qiang_2025_job_performance")
Version and provenance
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
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse_3 v7.0.