Forthmann-2024-cleverness_ratings
3,020 responses from 202 respondents to 3 items.
About this table
| Description | Cleverness ratings from 5 raters for three objects (paperclip, garbagebag, rope) in an Alternate Uses Task. |
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| Reference | Forthmann, Boris, and Nils Myszkowski. 2024. “Analysis of a Divergent Thinking Dataset.” OSF. April 22. osf.io/a9qnc. |
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| DOI | No DOI |
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| Licence | CC BY 4.0 |
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| Source data | https://osf.io/a9qnc/overview |
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Size and shape
| Responses | 3,020 |
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| Respondents | 202 |
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| Items | 3 |
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| Response categories | 5 |
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| Responses per respondent | 14.950 |
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| Responses per item | 1006.667 |
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| Density | 4.983 |
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| Longitudinal | FALSE |
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Classification
| age range | Adult (18+) |
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| sample | Educational, Targeted/specific |
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| construct type | Behavioral, Cognitive/educational |
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| measurement tool | Observational rating |
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| item format | Mixed |
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| primary language(s) | eng |
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| construct name | Cleverness ratings from 5 raters for three objects (paperclip, garbagebag, rope) in an Alternate Uses Task. |
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Columns
cov_agecov_aggressioncov_conventionalismcov_flu_animalscov_flu_letterfcov_flu_letterscov_flu_supercov_rwacov_sexcov_submission_rcov_tscov_vf_fluiditemraterresp
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("Forthmann-2024-cleverness_ratings")
# Python
pip install irw
import irw
df = irw.fetch("Forthmann-2024-cleverness_ratings")
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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