thanh_2025_green_behavior

3,256 responses from 407 respondents to 8 items.

About this table

Description8-item Employee Green Behavior subscale (1-5 Likert), same survey as thanh_2025_attitude
ReferenceThanh NH, Cong BT (2025) Unleashing the green potential: Unraveling the power of environmental concerns in driving employees' green behavior. PLoS One 20(3): e0320053.
DOI10.1371/journal.pone.0320053
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0320053.s002

Size and shape

Responses3,256
Respondents407
Items8
Response categories5
Responses per respondent8
Responses per item407
Density1
LongitudinalFALSE

Classification

sampleWorkplace
measurement toolSurvey/questionnaire
item formatLikert 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.

InstrumentEmployee Green Behavior (8 items, adapted and shortened from Blok et al., 2015)
Mean words per item8.125
Mean characters per item46
Mean characters per response9.400
Flesch-Kincaid grade level5.946

Columns

iditemresp

Get the data

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

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_behavior")
# Python
pip install irw

import irw
df = irw.fetch("thanh_2025_green_behavior")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0