cambaz_2023_berlin_wisdom

740 responses from 148 respondents to 5 items.

About this table

DescriptionBerlin wisdom paradigm ratings of a think-aloud life-dilemma response on five criteria (factual knowledge, procedural knowledge, lifespan contextualism, value relativism, uncertainty) for 148 Turkish young adults.
ReferenceCambaz, H. Z., & Ünal, A. (2023). Comparing self-report and performance measurement of wisdom in Turkish sample: Relations with self-transcendence and cognitive flexibility. Journal of Human Behavior in the Social Environment, 34(3), 361-372. https://doi.org/10.1080/10911359.2023.2165589
DOI10.1080/10911359.2023.2165589
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/7534902

Size and shape

Responses740
Respondents148
Items5
Response categories7
Responses per respondent5
Responses per item148
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleGeneral/non-specific
construct typeCognitive/educational, Personality
measurement toolObservational rating
item formatConstructed Response
primary language(s)tur
construct nameWisdom (Berlin wisdom paradigm)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, cambaz_2023_berlin_wisdom.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.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate age
cov_father_educationCovariate father_education
cov_mother_educationCovariate mother_education
cov_perceived_sesCovariate perceived_ses
cov_sexCovariate sex
cov_siblingsCovariate siblings

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

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant 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("cambaz_2023_berlin_wisdom")
# Python
pip install irw

import irw
df = irw.fetch("cambaz_2023_berlin_wisdom")

How to cite

@article{Cambaz_2023, title={Comparing self-report and performance measurement of wisdom in Turkish sample: Relations with self-transcendence and cognitive flexibility}, volume={34}, ISSN={1540-3556}, url={http://dx.doi.org/10.1080/10911359.2023.2165589}, DOI={10.1080/10911359.2023.2165589}, number={3}, journal={Journal of Human Behavior in the Social Environment}, publisher={Informa UK Limited}, author={Cambaz, Hüseyin Zahid and Ünal, Gülten}, year={2023}, month=Jan, pages={361–372} }

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_6 v5.11
Redivis dataset DOI10.57761/qahq-j855
Manifest pin for this IRW versionv5.11
Metadata sourceirw_meta v44.0