3,512 responses from 439 respondents to 8 items.
| Description | 8 additional SE/D items not matched to a named instrument in the text (Study 2 only) |
|---|---|
| Reference | Herrera F, Bailenson J, Weisz E, Ogle E, Zaki J (2018). Building long-term empathy: A large-scale comparison of traditional and virtual reality perspective-taking. PLOS ONE, 13(10), e0204494. https://doi.org/10.1371/journal.pone.0204494 |
| DOI | 10.1371/journal.pone.0204494 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0204494.s005 |
| Responses | 3,512 |
|---|---|
| Respondents | 439 |
| Items | 8 |
| Response categories | 7 |
| Responses per respondent | 8 |
| Responses per item | 439 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
cov_agecov_conditioncov_gendercov_studyiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("herrera_2018_se_d_items")
# Python
pip install irw
import irw
df = irw.fetch("herrera_2018_se_d_items")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |