pezzuti_2025_coolpeople_main_uncertaintyavoidance_USA_Chile
1,030 responses from 1,050 respondents to 5 items.
About this table
| Description | Ratings of uncertainty avoidance preferences and comfort with ambiguity |
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| Reference | Pezzuti T, Warren C, Chen J. Cool people. J Exp Psychol Gen. 2025 Sep;154(9):2410-2431. doi: 10.1037/xge0001799. Epub 2025 Jun 30. PMID: 40587319. |
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| DOI | 10.1037/xge0001799 |
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| Licence | CC BY 4.0 |
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| Source data | https://osf.io/m7gps/overview?view_only=d3fec7aa6c994b0f873403b2dcde15a0 |
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Size and shape
| Responses | 1,030 |
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| Respondents | 1,050 |
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| Items | 5 |
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| Response categories | 7 |
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| Responses per respondent | 0.981 |
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| Responses per item | 206 |
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| Density | 0.196 |
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| Longitudinal | FALSE |
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Classification
| age range | Adult (18+) |
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| sample | General/non-specific, Internet-based |
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| construct type | Opinion/attitude |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | eng, spa |
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| construct name | Uncertainty Avoidance |
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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 | Ratings of uncertainty avoidance preferences and comfort with ambiguity |
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| Mean words per item | 10.800 |
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| Mean characters per item | 67 |
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| Mean characters per response | 5.857 |
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| Flesch-Kincaid grade level | 8.507 |
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Columns
cov_agecov_countrycov_gendercov_hdicov_individualismcov_powerdistancecov_yeariditemresp
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("pezzuti_2025_coolpeople_main_uncertaintyavoidance_USA_Chile")
# Python
pip install irw
import irw
df = irw.fetch("pezzuti_2025_coolpeople_main_uncertaintyavoidance_USA_Chile")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_2 v19.0 |
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| Redivis dataset DOI | 10.57761/qtx5-4m80 |
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| Manifest pin for this IRW version | v19.0 |
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| Metadata source | irw_meta v23.0 |
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