agogue_2020_self_perceived_creativity

1,193 responses from 200 respondents to 6 items.

About this table

Description	Self-perceived creativity scale, 6 items, N=200
Reference	Agogue, M., et al. (2020). Nudging individuals' creativity using social labeling. PLOS ONE.
DOI	10.1371/journal.pone.0228961
Licence	CC BY 4.0
Source data	https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0228961

Size and shape

Responses	1,193
Respondents	200
Items	6
Response categories	7
Responses per respondent	5.965
Responses per item	198.833
Density	0.994
Longitudinal	FALSE

Classification

age range	Adult (18+)
sample	Internet-based
construct type	Personality
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
construct name	Self-perceived creativity questionnaire

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

Instrument	Pre-label self-perceived creativity scale (6 items)
Mean words per item	10.500
Mean characters per item	55.167
Mean characters per response	5.857
Flesch-Kincaid grade level	7.745

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, agogue_2020_nudging_creativity.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
Respondent covariates
`cov_age`	Covariate	`Age`
`cov_education`	Covariate	`Education`
`cov_gender`	Covariate	`Gender`
`cov_group`	Covariate	`Group`

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

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("agogue_2020_self_perceived_creativity")

# Python
pip install irw

import irw
df = irw.fetch("agogue_2020_self_perceived_creativity")

How to cite

@article{Agogu__2020, title={Nudging individuals’ creativity using social labeling}, volume={15}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0228961}, DOI={10.1371/journal.pone.0228961}, number={2}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Agogué, Marine and Parguel, Béatrice}, editor={Capraro, Valerio}, year={2020}, month=Feb, pages={e0228961} }

Version and provenance

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