ali_2021_spfi

2,620 responses from 165 respondents to 16 items.

About this table

Description16-item Stanford Professional Fulfillment Index (SPFI) across 3 subscales (professional fulfillment, work exhaustion, interpersonal disengagement), mixed anchor families collapsed to a common 0-5 numeric code, from a COVID-19 survey of nurses in Kenya (N=165).
ReferenceAli S, Shah J, Talib Z (2021) COVID-19 and mental well-being of nurses in a tertiary facility in Kenya. PLoS ONE.
DOI10.1371/journal.pone.0254074
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0254074.s001

Size and shape

Responses2,620
Respondents165
Items16
Response categories5
Responses per respondent15.879
Responses per item163.750
Density0.992
LongitudinalFALSE

Classification

sampleWorkplace
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.

InstrumentStanford Professional Fulfillment Index (SPFI; Trockel et al., 2018)
Mean words per item6.688
Mean characters per item40.250
Mean characters per response10.650
Flesch-Kincaid grade level6.054

Columns

cov_age_catcov_genderiditemresp

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("ali_2021_spfi")
# Python
pip install irw

import irw
df = irw.fetch("ali_2021_spfi")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_4 v7.0
Redivis dataset DOI10.57761/cpj5-vm97
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0