cavojova_2017_cfc

2,380 responses from 170 respondents to 14 items.

About this table

DescriptionConsideration of Future Consequences scale (CFC-14), 1-6, Slovak teachers. 170 respondents x 14 items = 2380 responses.
ReferenceJurkovic, M. (2019). Comparison of Experienced vs. Novice Teachers in Cognitive Reflection and Rationality [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/5VEZ7T
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/5VEZ7T

Size and shape

Responses2,380
Respondents170
Items14
Response categories6
Responses per respondent14
Responses per item170
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational, Workplace
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)slo

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, cavojova_2017_cfc.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_experienceCovariate workexp
cov_regionCovariate county
cov_sampleCovariate 0 = teacher · 1 = studentsample
cov_sexCovariate 1 = man · 2 = womansex
Other columns
itemcov_subscaleNot documented Covariates invariant to measurement probes (item-level attributes).made in the build script

Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled 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("cavojova_2017_cfc")
# Python
pip install irw

import irw
df = irw.fetch("cavojova_2017_cfc")

How to cite

@misc{https://doi.org/10.7910/dvn/5vez7t,
  doi = {10.7910/DVN/5VEZ7T},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/5VEZ7T},
  author = {Jurkovič, Marek},
  keywords = {Social Sciences, Consideration of Future Consequences Scale},
  title = {Comparison of Experienced vs. Novice Teachers in Cognitive Reflection and Rationality},
  publisher = {Harvard Dataverse},
  year = {2019}
}

Version and provenance

IRW versionv557
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v40.0