6,870 responses from 458 respondents to 15 items.
| Description | 15-item satisfaction with environmental compensation mechanism (SECM) scale, 5-point Likert, same survey as zeng_2025_megaproject_msr |
|---|---|
| Reference | Zeng Z, Shen Y, Yang J, Hengsadeekul T (2025) The impact of international megaproject social responsibility on satisfaction with the environmental compensation mechanism: The role of stakeholder participation. PLoS ONE 20(10): e0334291. |
| DOI | 10.1371/journal.pone.0334291 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0334291.s001&type=supplementary |
| Responses | 6,870 |
|---|---|
| Respondents | 458 |
| Items | 15 |
| Response categories | 5 |
| Responses per respondent | 15 |
| Responses per item | 458 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Program-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | tha |
cov_educationcov_gendercov_religioncov_rolecov_ssr_familiaritycov_years_experienceiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("zeng_2025_megaproject_ecm")
# Python
pip install irw
import irw
df = irw.fetch("zeng_2025_megaproject_ecm")
| 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 |