kushnir2017_bfi

14,036 responses from 319 respondents to 44 items.

One of 4 tables from the same source; this one is the bfi table. The others are listed under Related tables.

About this table

DescriptionBig Five Inventory (BFI-44) in smoking cessation study; N=319; 1-5 ordinal (text labels recoded)
ReferenceKushnir, V. (2017). Data Set for Unassisted Smoking Cessation: The Role of Motivation and Personality Factors [Dataset]. Harvard Dataverse. https://doi.org/10.7910/DVN/8LBLYS
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8LBLYS

Size and shape

Responses14,036
Respondents319
Items44
Response categories5
Responses per respondent44
Responses per item319
Density1
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.

InstrumentBig Five Inventory (BFI-44)
Mean words per item4.386
Mean characters per item25.636
Mean characters per response17.600
Flesch-Kincaid grade level6.541

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_genderCovariate not traced
cov_smoker_statusCovariate 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("kushnir2017_bfi")
# Python
pip install irw

import irw
df = irw.fetch("kushnir2017_bfi")

How to cite

@misc{https://doi.org/10.7910/dvn/8lblys,
  doi = {10.7910/DVN/8LBLYS},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/8LBLYS},
  author = {Kushnir, Vlad},
  keywords = {Medicine, Health and Life Sciences},
  title = {Data Set for Unassisted Smoking Cessation: The Role of Motivation and Personality Factors},
  publisher = {Harvard Dataverse},
  year = {2017}
}

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_2 v33.0
Redivis dataset DOI10.57761/6m04-m698
Manifest pin for this IRW versionv33.0
Metadata sourceirw_meta v39.0