Item Response Warehouse / Tables / thanh_2025_green_knowledgethanh_2025_green_knowledge
2,442 responses from 407 respondents to 6 items.
About this table
Description 6-item Green Knowledge subscale (1-5 Likert), same survey as thanh_2025_attitude Reference Thanh NH, Cong BT (2025) Unleashing the green potential: Unraveling the power of environmental concerns in driving employees' green behavior. PLoS One 20(3): e0320053. DOI 10.1371/journal.pone.0320053 Licence CC BY 4.0 Source data https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0320053.s002
Size and shape
Responses 2,442 Respondents 407 Items 6 Response categories 5 Responses per respondent 6 Responses per item 407 Density 1 Longitudinal FALSE
Classification
sample Workplace measurement tool Survey/questionnaire item format Likert Scale/selected response primary language(s) vie
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
Instrument Green Knowledge scale (adapted from Gatersleben et al.) Mean words per item 12 Mean characters per item 73.167 Mean characters per response 9.400 Flesch-Kincaid grade level 9.740
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("thanh_2025_green_knowledge")
# Python
pip install irw
import irw
df = irw.fetch("thanh_2025_green_knowledge")
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.