zhao_2025_restor_env_perception

2,388 responses from 199 respondents to 12 items.

About this table

Description12-item Restorative Environment Perception (REP) scale (1-5 Likert) from a survey of urban forest park visitors in Changsha, China
ReferenceZhao K, Zhang S, Zhao F (2025) How the natural environment affects psychological recovery: A case study in Changsha, China. PLoS ONE.
DOI10.1371/journal.pone.0325755
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0325755.s001

Size and shape

Responses2,388
Respondents199
Items12
Response categories5
Responses per respondent12
Responses per item199
Density1
LongitudinalFALSE

Classification

measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)chi

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("zhao_2025_restor_env_perception")
# Python
pip install irw

import irw
df = irw.fetch("zhao_2025_restor_env_perception")

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