34,456 responses from 584 respondents to 59 items.
One of 2 tables from the same source; this one measures Free Will and Determinism Plus Scale (FAD-Plus), dualism/anti-reduction subscale.. The others are listed under Related tables.
| Description | Data on free will and determinism, dualism/anti-reduction subscale (participants: (1) students in an online Intro to Psych course, (2) students in an in-person, university Intro to Psych course) |
|---|---|
| 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 | 34,456 |
|---|---|
| Respondents | 584 |
| Items | 59 |
| Response categories | 5 |
| Responses per respondent | 59 |
| Responses per item | 584 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| 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 (FAD-Plus), dualism/anti-reduction subscale. |
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, dualism/anti-reduction subscale (participants: (1) students in an online Intro to Psych course, (2) students in an in-person, university Intro to Psych course) |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 17.085 |
| Mean characters per response | 3.600 |
| Flesch-Kincaid grade level | -0.002 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, fad_dataset2.R. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | made in the build script |
item | IRW standard Item identifier. | item_id |
resp | IRW standard Response value. | made in the build script |
| Other columns | ||
age | Not documented Not documented by the IRW; see the source’s codebook. | made in the build script |
What item codes and covariate values stand for is in the source’s codebook, FADGS_codebook_dataset2&3.xlsx, FADGS_codebook_dataset1.xlsx, FADGS_codebook_dataset4.xlsx.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("fad_dataset2")
# Python
pip install irw
import irw
df = irw.fetch("fad_dataset2")
@article{Liu_2020, title={Questionnaire Data From the Revision of a Chinese Version of Free Will and Determinism Plus Scale}, volume={8}, ISSN={2050-9863}, url={http://dx.doi.org/10.5334/jopd.49}, DOI={10.5334/jopd.49}, journal={Journal of Open Psychology Data}, publisher={Ubiquity Press, Ltd.}, author={Liu, Qing-Lan and Wang, Fei and Yan, Wenjing and Peng, Kaiping and Sui, Jie and Hu, Chuan-Peng}, year={2020} }
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse v70.0 |
| Redivis dataset DOI | 10.57761/4qxs-pq87 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v39.0 |