8,976 responses from 748 respondents to 12 items.
| Description | Aesthetic Responsiveness Assessment (AReA), 12 items, 1-5 Likert, N=748 Chinese university students |
|---|---|
| Reference | Dou, X., Zhang, Y., Wang, X., Zhang, Y., & Hou, R. (2025). The way aesthetic needs affects the relationship between aesthetic responsiveness and creativity. PLOS ONE. |
| DOI | 10.1371/journal.pone.0331067 |
| Licence | CC BY 4.0 |
| Source data | https://plos.figshare.com/articles/dataset/_/30033097 |
| Responses | 8,976 |
|---|---|
| Respondents | 748 |
| Items | 12 |
| Response categories | 5 |
| Responses per respondent | 12 |
| Responses per item | 748 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Educational, Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Aesthetic Responsiveness Assessment (AReA), Chinese revised 12-item version (Peng & Chen, 2023) |
|---|---|
| Mean words per item | 12.750 |
| Mean characters per item | 70.167 |
| Mean characters per response | 7.400 |
| Flesch-Kincaid grade level | 8.278 |
cov_age_bandcov_educationcov_fieldcov_gendercov_incomecov_occupationiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("dou2025_area")
# Python
pip install irw
import irw
df = irw.fetch("dou2025_area")
| 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 |