1,512 responses from 56 respondents to 27 items.
| Description | Data on free will and determinism |
|---|---|
| Reference | Liu, Q. L., Wang, F., Yan, W., Peng, K., Sui, J., & Hu, C. (2020). Questionnaire Data From the Revision of a Chinese Version of Free Will and Determinism Plus Scale. Journal of Open Psychology Data. https://osf.io/t2nsw/ |
| DOI | 10.5334/jopd.49 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/t2nsw/ |
| Responses | 1,512 |
|---|---|
| Respondents | 56 |
| Items | 27 |
| Response categories | 5 |
| Responses per respondent | 27 |
| Responses per item | 56 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
| construct name | Free Will and Determinism Plus Scale (Chinese Revised Version) |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Data on free will and determinism |
|---|---|
| Mean words per item | 9.259 |
| Mean characters per item | 55.630 |
| Mean characters per response | 3.600 |
| Flesch-Kincaid grade level | 7.529 |
ageiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("fad_dataset1")
# Python
pip install irw
import irw
df = irw.fetch("fad_dataset1")
| 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 |