goldberg_2018_ipip

1,894,532 responses from 960 respondents to 2,539 items.

About this table

DescriptionInternational Personality Item Pool (ESCS). resp 1-5. 960 respondents x 2539 items = 1894532 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/UF52WY

Size and shape

Responses1,894,532
Respondents960
Items2,539
Response categories5
Responses per respondent1973.471
Responses per item746.173
Density0.777
LongitudinalFALSE

Classification

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

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentInternational Personality Item Pool (IPIP): Eugene-Springfield Community Sample 2,539-item pool
Mean words per item6.287
Mean characters per item35.254
Mean characters per response11.023
Flesch-Kincaid grade level4.530

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

Browse on Redivissign in to download

This table is larger than Redivis serves without a login, so download it with one of the packages below or while signed in to Redivis.

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_ipip")
# Python
pip install irw

import irw
df = irw.fetch("goldberg_2018_ipip")

How to cite

@misc{https://doi.org/10.7910/dvn/uf52wy,
  doi = {10.7910/DVN/UF52WY},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/UF52WY},
  author = {Goldberg, Lewis R.},
  keywords = {Social Sciences},
  title = {( 2,8,10 &amp; others) International Personality Item Pool (IPIP)},
  publisher = {Harvard Dataverse},
  year = {2018}
}

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