4,790 responses from 481 respondents to 10 items.
One of 3 tables from the same source; this one is the fns table. The others are listed under Related tables.
| Description | Curious to eat insects? Curiosity as a Key Predictor of Willingness to try novel food |
|---|---|
| Reference | Stone, H. J., FitzGibbon, L., Millan, E., & Murayama, K. (2021, April 28). Curious to Eat Insects? Curiosity as a Key Predictor of Willingness to Try Novel Food. https://doi.org/10.17605/OSF.IO/5F9SP |
| DOI | 10.1016/j.appet.2021.105790 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/5f9sp/overview |
| Responses | 4,790 |
|---|---|
| Respondents | 481 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 9.958 |
| Responses per item | 479 |
| Density | 0.996 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| construct type | Personality |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Variety Seeking |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, curiosity_stone_2022.py. 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). | subject |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
wave | IRW standard Longitudinal wave indicator. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | age |
cov_education | Covariate | education |
cov_ethnicity | Covariate | ethnicity |
cov_nationality | Covariate | nationality |
cov_residency | Covariate | residency |
cov_sex | Covariate | sex |
What item codes and covariate values stand for is in the codebook released with the source data.
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("curiosity_stone_2022_fns")
# Python
pip install irw
import irw
df = irw.fetch("curiosity_stone_2022_fns")
@article{Stone_2022, title={Curious to eat insects? Curiosity as a Key Predictor of Willingness to try novel food}, volume={168}, ISSN={0195-6663}, url={http://dx.doi.org/10.1016/j.appet.2021.105790}, DOI={10.1016/j.appet.2021.105790}, journal={Appetite}, publisher={Elsevier BV}, author={Stone, Hannah and FitzGibbon, Lily and Millan, Elena and Murayama, Kou}, year={2022}, month=jan, pages={105790} }
| IRW version | v557 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v33.0 |
| Redivis dataset DOI | 10.57761/6m04-m698 |
| Manifest pin for this IRW version | v33.0 |
| Metadata source | irw_meta v40.0 |