7,857 responses from 291 respondents to 27 items.
| Description | Perceived relevance of 27 campus environmental-sustainability indicators, 1-5. 291 respondents x 27 items = 7857 responses. |
|---|---|
| Reference | Hochsteiner, 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 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/FCNTSN |
| Responses | 7,857 |
|---|---|
| Respondents | 291 |
| Items | 27 |
| Response categories | 5 |
| Responses per respondent | 27 |
| Responses per item | 291 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Educational, Workplace |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | por |
iditemitemcov_domainresp
Or load it directly in R or Python:
# 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")
| 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 |