goldberg_2018_tci

216,632 responses from 736 respondents to 295 items.

About this table

DescriptionTemperament and Character Inventory (ESCS). resp 1-5. 736 respondents x 295 items = 216632 responses.
ReferenceGoldberg, L. R. (2018). Eugene-Springfield Community Sample [Data set]. Harvard Dataverse. https://dataverse.harvard.edu/dataverse/ESCS-Data
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/TERJAK

Size and shape

Responses216,632
Respondents736
Items295
Response categories5
Responses per respondent294.337
Responses per item734.346
Density0.998
LongitudinalFALSE

Classification

age rangeAdult (18+)
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng

Codebook

This codebook is reconstructed by the IRW from the IRW data standard. 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).not traced
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
Respondent covariates
cov_ageCovariate not traced
cov_educationCovariate not traced
cov_employmentCovariate not traced
cov_ethnicityCovariate not traced
cov_marital_statusCovariate not traced
cov_sexCovariate not traced

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("goldberg_2018_tci")
# Python
pip install irw

import irw
df = irw.fetch("goldberg_2018_tci")

How to cite

@misc{https://doi.org/10.7910/dvn/terjak,
  doi = {10.7910/DVN/TERJAK},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/TERJAK},
  author = {Goldberg, Lewis R.},
  keywords = {Social Sciences},
  title = {(13) Temperament and Character Inventory (TCI)},
  publisher = {Harvard Dataverse},
  year = {2018}
}

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v43.0