dasilva_2019_hexaco24

5,760 responses from 240 respondents to 24 items.

About this table

DescriptionItem-level HEXACO-24 personality inventory (24 items, 1-5 Likert, Portuguese) collected alongside a cognitive-reflection/incomplete-information-choice experiment; 240 respondents with itemcov_dimension/itemcov_reverse_scored
ReferenceDa Silva, Sergio; Ramos, Mauricio (2019). Dataset for the paper Incomplete Information Choices, Cognitive Ability and Personality. figshare. Dataset. https://doi.org/10.6084/m9.figshare.7582019.v1
LicenceCC BY 4.0
Source datahttps://figshare.com/articles/dataset/Dataset_for_the_paper_Incomplete_Information_Choices_Cognitive_Ability_and_Personality/7582019

Size and shape

Responses5,760
Respondents240
Items24
Response categories5
Responses per respondent24
Responses per item240
Density1
LongitudinalFALSE

Classification

measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)por

Item text

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

InstrumentBrief HEXACO Inventory (BHI)
Mean words per item6.833
Mean characters per item34.917
Mean characters per response16.200
Flesch-Kincaid grade level4.271

Columns

iditemitemcov_dimensionitemcov_reverse_scoredresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("dasilva_2019_hexaco24")
# Python
pip install irw

import irw
df = irw.fetch("dasilva_2019_hexaco24")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0