Item Response Warehouse / Tables / li_2025_policy_environmentli_2025_policy_environment
1,601 responses from 352 respondents to 5 items.
About this table
Description Policy environment scale (5 items 7-pt Likert) rated by managers/employees at Chinese time-honored (heritage) enterprises Reference Li X, et al (2025) Breaking the deadlock: A study on the pathway and effects of reshaping the sustainable marketing capability of Chinese time-honored brands. PLoS ONE 20(6): e0326329 DOI 10.1371/journal.pone.0326329 Licence CC BY 4.0 Source data https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0326329
Size and shape
Responses 1,601 Respondents 352 Items 5 Response categories 5 Responses per respondent 4.548 Responses per item 320.200 Density 0.910 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 Policy Environment (PE) scale Mean words per item 11.400 Mean characters per item 85.400 Mean characters per response 13 Flesch-Kincaid grade level 15.561
Columns
cov_firm_size cov_firm_type cov_gender cov_industry cov_location cov_position 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("li_2025_policy_environment")
# Python
pip install irw
import irw
df = irw.fetch("li_2025_policy_environment")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_4 v7.0 Redivis dataset DOI 10.57761/cpj5-vm97 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_4 v7.0.