broadband_inventories

365,077 responses from 2,017 respondents to 181 items.

About this table

DescriptionData from an interactive personality test that combines the scales from 8 different well regarded tests into one.
ReferenceYarkoni, T. (2010). The abbreviation of personality, or how to measure 200 personality scales with 200 items. Journal of Research in Personality, 44, 180-198.
DOI10.1016/j.jrp.2010.01.002
LicenceCC BY 4.0
Source datahttp://openpsychometrics.org/_rawdata/

Size and shape

Responses365,077
Respondents2,017
Items181
Response categories7
Responses per respondent181
Responses per item2,017
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
construct typePersonality
measurement toolTest
item formatLikert Scale/selected response
primary language(s)eng
construct nameAnalog to Multiple Broadband Inventories (AMBI)

Item text

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

InstrumentAnalog to Multiple Broadband Inventories (AMBI)
Mean words per item7.083
Mean characters per item35.337
Mean characters per response11.714
Flesch-Kincaid grade level3.829

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, broadband_inventories.R. 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
rtIRW standard Response time.made in the build script

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("broadband_inventories")
# Python
pip install irw

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

How to cite

@article{Yarkoni_2010, title={The abbreviation of personality, or how to measure 200 personality scales with 200 items}, volume={44}, ISSN={0092-6566}, url={http://dx.doi.org/10.1016/j.jrp.2010.01.002}, DOI={10.1016/j.jrp.2010.01.002}, number={2}, journal={Journal of Research in Personality}, publisher={Elsevier BV}, author={Yarkoni, Tal}, year={2010}, month=apr, pages={180–198} }

Version and provenance

IRW versionv569
Redivis datasetitem_response_warehouse v71.0
Redivis dataset DOI10.57761/f5n4-k797
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v43.0