direkvand_2022_mjsi

3,022 responses from 121 respondents to 25 items.

About this table

Description25-item Iranian Midwives Job Satisfaction Instrument (MJSI, 5-point Likert) across five factors (responsibility, communication, professional, physical-mental, social), from a survey of N=121 midwives.
ReferenceDirekvand-Moghadam A, Rashan N, Bahmani M, Taheri S (2022) Development and psychometric properties of Iranian midwives job satisfaction instrument (MJSI): A sequential exploratory study. PLoS ONE.
DOI10.1371/journal.pone.0262665
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0262665.s002

Size and shape

Responses3,022
Respondents121
Items25
Response categories5
Responses per respondent24.975
Responses per item120.880
Density0.999
LongitudinalFALSE

Classification

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

Item text

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

InstrumentIranian Midwives Job Satisfaction Instrument (MJSI)
Mean words per item1
Mean characters per item2
Mean characters per response2
Flesch-Kincaid grade level-3.400

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, direkvand_2022_mjsi.py. 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

What item codes and covariate values stand for is in the source’s questionnaire, S4_File.docx, S5_File.doc, which show the item wording.

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("direkvand_2022_mjsi")
# Python
pip install irw

import irw
df = irw.fetch("direkvand_2022_mjsi")

How to cite

@article{Direkvand_Moghadam_2022, title={Development and psychometric properties of Iranian midwives job satisfaction instrument (MJSI): A sequential exploratory study}, volume={17}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0262665}, DOI={10.1371/journal.pone.0262665}, number={1}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Direkvand-Moghadam, Ashraf and Rashan, Nasrin and Bahmani, Mona and Taheri, Safoura}, editor={Gremigni, Paola}, year={2022}, month=Jan, pages={e0262665} }

Version and provenance

IRW versionv569
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v43.0