3,418 responses from 171 respondents to 10 items.
One of 7 tables from the same source; this one is the curiosity table. The others are listed under Related tables.
| Description | Curiosity and Exploration Inventory (10 items, 1-5), baseline/follow-up, N=171. |
|---|---|
| Reference | Conner TS, Brookie KL, Carr AC, Mainvil LA, Vissers MCM (2017). Let them eat fruit! The effect of fruit and vegetable consumption on psychological well-being in young adults: A randomized controlled trial. PLOS ONE 12(2):e0171206. |
| DOI | 10.1371/journal.pone.0171206 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0171206 |
| Responses | 3,418 |
|---|---|
| Respondents | 171 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 19.988 |
| Responses per item | 341.800 |
| Density | 1.999 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Curiosity and Exploration Inventory-II (CEI-II) |
|---|---|
| Mean words per item | 12.200 |
| Mean characters per item | 67 |
| Mean characters per response | 13 |
| Flesch-Kincaid grade level | 8.222 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, conner_2017_fruit.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). | ID |
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_condition | Covariate 0 = Control · 1 = EMI · 2 = FV | condition |
cov_gender | Covariate 0 = Male · 1 = Females | gender |
cov_nz_european | Covariate 0 = New Zealand European or Other European · 1 = Other | NZEurop |
Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled 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("conner_2017_curiosity")
# Python
pip install irw
import irw
df = irw.fetch("conner_2017_curiosity")
@article{Conner_2017, title={Let them eat fruit! The effect of fruit and vegetable consumption on psychological well-being in young adults: A randomized controlled trial}, volume={12}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0171206}, DOI={10.1371/journal.pone.0171206}, number={2}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Conner, Tamlin S. and Brookie, Kate L. and Carr, Anitra C. and Mainvil, Louise A. and Vissers, Margreet C. M.}, editor={van Wouwe, Jacobus P.}, year={2017}, month=Feb, pages={e0171206} }
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v13.0 |
| Redivis dataset DOI | 10.57761/gpg7-sg87 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v43.0 |