1,040,200 responses from 18,575 respondents to 56 items.
| Description | Data on individual differences in what people enjoy about visual art |
|---|---|
| Reference | Artistic Preferences Scale [dataset and codebook]. http://openpsychometrics.org/_rawdata/APS_data.zip |
| Licence | CC BY-NC-SA 4.0 |
| Source data | http://openpsychometrics.org/_rawdata/ |
| Responses | 1,040,200 |
|---|---|
| Respondents | 18,575 |
| Items | 56 |
| Response categories | 8 |
| Responses per respondent | 56 |
| Responses per item | 18,575 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific |
| construct type | Opinion/attitude |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Artistic Preferences Scales 1.2 |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Artistic Preferences Scales 1.2 (APS), with the Ten Item Personality Inventory (TIPI) and a vocabulary check list (VCL) |
|---|---|
| Mean words per item | 1.417 |
| Mean characters per item | 8.694 |
| Mean characters per response | 13.754 |
| Flesch-Kincaid grade level | 8.685 |
iditemresprt
Licence: CC BY-NC-SA 4.0 — non-commercial use only; adaptations must be shared under the same licence.
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("artistic_preferences")
# Python
pip install irw
import irw
df = irw.fetch("artistic_preferences")
| 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 |