14,994 responses from 1,071 respondents to 14 items.
| Description | Aesthetic Responsiveness Assessment |
|---|---|
| Reference | Silvia, P. J., Rodriguez-Boerwinkle, R., Awa, K. N., Zabelina, D., & Christensen, A. P. (2024, September 18). Psychometrics of the Aesthetic Responsiveness Assessment (AReA). Retrieved from osf.io/5w6dk |
| DOI | 10.1037/aca0000348 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/5w6dk/ |
| Responses | 14,994 |
|---|---|
| Respondents | 1,071 |
| Items | 14 |
| Response categories | 5 |
| Responses per respondent | 14 |
| Responses per item | 1,071 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| construct type | Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Aesthetic Responsiveness Assessment |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("aa1_Silvia_2023")
# Python
pip install irw
import irw
df = irw.fetch("aa1_Silvia_2023")
| 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 |