4,806 responses from 801 respondents to 6 items.
| Description | The Salford Nature Environments Database (SNED) |
|---|---|
| Reference | Bendall, R. C., Royle, S., Dodds, J., Watmough, H., Gillman, J. C., Beevers, D., ... & Gregory, S. E. (2025). The Salford Nature Environments Database (SNED): an open-access database of standardized high-quality pictures from natural environments. Behavior Research Methods, 57(1), 1-17. |
| DOI | 10.3758/s13428-024-02556-4 |
| Licence | CC0 1.0 |
| Source data | https://osf.io/qm42t/ |
| Responses | 4,806 |
|---|---|
| Respondents | 801 |
| Items | 6 |
| Response categories | 10 |
| Responses per respondent | 6 |
| Responses per item | 801 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Non-human |
|---|---|
| sample | Non-human |
| construct type | Other |
| measurement tool | Observational rating |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | The Salford Nature Environments Database (SNED) |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | SNED participant questionnaires: Perceived rurality-urbanity V2 (adapted from Cox et al., 2018) and MacArthur Scale of Subjective Social Status (Adler et al., 2000) |
|---|---|
| Mean words per item | 23.333 |
| Mean characters per item | 119.667 |
| Mean characters per response | 3.600 |
| Flesch-Kincaid grade level | 5.901 |
cov_agecov_countryofbirthcov_countryofresidencecov_educationcov_ethnicitycov_gendercov_nationalityiditemresprt
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("sned_bendall_2024")
# Python
pip install irw
import irw
df = irw.fetch("sned_bendall_2024")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |