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 |
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| Reference | Agogue, M., et al. (2020). Nudging individuals' creativity using social labeling. PLOS ONE. |
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| DOI | 10.1371/journal.pone.0228961 |
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| Licence | CC BY 4.0 |
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| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0228961 |
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Size and shape
| Responses | 1,193 |
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| Respondents | 200 |
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| Items | 6 |
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| Response categories | 7 |
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| Responses per respondent | 5.965 |
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| Responses per item | 198.833 |
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| Density | 0.994 |
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| Longitudinal | FALSE |
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Classification
| age range | Adult (18+) |
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| sample | Internet-based |
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| construct type | Personality |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| construct name | Self-perceived creativity questionnaire |
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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) |
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| Mean words per item | 10.500 |
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| Mean characters per item | 55.167 |
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| Mean characters per response | 5.857 |
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| Flesch-Kincaid grade level | 7.745 |
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Columns
cov_agecov_educationcov_gendercov_groupiditemresp
Get the data
Or load it directly in R or Python:
# 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")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_3 v7.0 |
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| Redivis dataset DOI | 10.57761/pqqn-pm43 |
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| Manifest pin for this IRW version | v7.0 |
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| Metadata source | irw_meta v23.0 |
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