hochsteiner_2026_sustainability_relevance

7,857 responses from 291 respondents to 27 items.

About this table

DescriptionPerceived relevance of 27 campus environmental-sustainability indicators, 1-5. 291 respondents x 27 items = 7857 responses.
ReferenceHochsteiner, P., Tezza, R., & de Borba, E. H. (2026). Assessing the perceived relevance of environmental sustainability indicators in smart campuses [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/FCNTSN
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/FCNTSN

Size and shape

Responses7,857
Respondents291
Items27
Response categories5
Responses per respondent27
Responses per item291
Density1
LongitudinalFALSE

Classification

sampleEducational, Workplace
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)por

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, hochsteiner_2026_sustainability.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Other columns
itemcov_domainNot documented Covariates invariant to measurement probes (item-level attributes).made in the build script

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

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

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("hochsteiner_2026_sustainability_relevance")
# Python
pip install irw

import irw
df = irw.fetch("hochsteiner_2026_sustainability_relevance")

How to cite

@misc{https://doi.org/10.7910/dvn/fcntsn,
  doi = {10.7910/DVN/FCNTSN},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/FCNTSN},
  author = {Hochsteiner, Pedro and Tezza, Rafael and Borba, Eduardo Henrique de},
  keywords = {Social Sciences, smart campus, perceived relevance, scale development, item response theory, graded response model, environmental maturity},
  title = {Assessing the perceived relevance of environmental sustainability initiatives in smart campuses using item response theory (Supplemental material)},
  publisher = {Harvard Dataverse},
  year = {2026}
}

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v39.0