kolomiets_2026_career_match

24,058 responses from 2,005 respondents to 12 items.

About this table

DescriptionMini-RIASEC forced-choice career interest assessment (2005 participants, 12 items, 0-5 scale)
LicenceCC BY 4.0
Source datahttps://figshare.com/articles/dataset/32668833

Size and shape

Responses24,058
Respondents2,005
Items12
Response categories6
Responses per respondent11.999
Responses per item2004.833
Density1.000
LongitudinalFALSE

Classification

sampleInternet-based
measurement toolTest
item formatLikert Scale/selected response

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, kolomiets_2026_career_match.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_duration_secondsCovariate duration_seconds
cov_localeCovariate locale
cov_score_aCovariate made in the build script
cov_score_cCovariate made in the build script
cov_score_eCovariate made in the build script
cov_score_iCovariate made in the build script
cov_score_rCovariate made in the build script
cov_score_sCovariate made in the build script
cov_top_resultCovariate top_result

What item codes and covariate values stand for is in the source’s README, README.md.

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("kolomiets_2026_career_match")
# Python
pip install irw

import irw
df = irw.fetch("kolomiets_2026_career_match")

How to cite

@misc{https://doi.org/10.6084/m9.figshare.32668833.v1,
  doi = {10.6084/M9.FIGSHARE.32668833.V1},
  url = {https://figshare.com/articles/dataset/JobCannon_Psychometric_Response_Dataset/32668833/1},
  author = {Kolomiets, Peter},
  keywords = {Personality and individual differences, Testing, assessment and psychometrics},
  title = {JobCannon Psychometric Response Dataset},
  publisher = {figshare},
  year = {2026},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse_3 v13.0
Redivis dataset DOI10.57761/gpg7-sg87
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v43.0