89,280 responses from 2,480 respondents to 36 items.
| Description | Aesthetic fluency scale |
|---|---|
| Reference | Cotter, K. N., Rodriguez-Boerwinkle, R. M., Christensen, A. P., Fekete, A., Smith, J. K., Smith, L. F., ... & Silvia, P. J. (2023). Updating the Aesthetic Fluency Scale: Revised long and short forms for research in the psychology of the arts. Plos one, 18(2), e0281547. |
| DOI | 10.1371/journal.pone.0281547 |
| Licence | GPL-3.0 |
| Source data | https://osf.io/d9ujk/ |
| Responses | 89,280 |
|---|---|
| Respondents | 2,480 |
| Items | 36 |
| Response categories | 3 |
| Responses per respondent | 36 |
| Responses per item | 2,480 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific |
| construct type | Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Aesthetic Fluency Scale |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Aesthetic fluency scale |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 7.528 |
| Mean characters per response | 42.667 |
| Flesch-Kincaid grade level | 56.030 |
groupiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("aestheticfluency_cotter2023")
# Python
pip install irw
import irw
df = irw.fetch("aestheticfluency_cotter2023")
| 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 |