384 responses from 16 respondents to 24 items.
| Description | Facial preference values (proportion of trials each face rated as preferred, continuous 0-1) from an EEG alpha-oscillation facial-preference study |
|---|---|
| Reference | Kang J, Kim SJ, Cho YS, Kim S (2015). Modulation of Alpha Oscillations in the Human EEG with Facial Preference. PLOS ONE, 10(9), e0138153. https://doi.org/10.1371/journal.pone.0138153 |
| DOI | 10.1371/journal.pone.0138153 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0138153.s001 |
| Responses | 384 |
|---|---|
| Respondents | 16 |
| Items | 24 |
| Response categories | 23 |
| Responses per respondent | 24 |
| Responses per item | 16 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | kor |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("kang_2015_facial_preference")
# Python
pip install irw
import irw
df = irw.fetch("kang_2015_facial_preference")
| 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 |