kiraly_2024_perinatal_mh_freq

1,132 responses from 96 respondents to 16 items.

About this table

Description16-item behavioral frequency scale (never..always, 1-5) on maternal mental-health screening/support practices, obstetricians and other maternal-child healthcare providers
ReferenceKiraly C, Boyle-Duke B, Shklarski L (2024) The role of maternal and child healthcare providers in identifying and supporting perinatal mental health disorders. PLoS ONE.
DOI10.1371/journal.pone.0306265
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0306265.s002

Size and shape

Responses1,132
Respondents96
Items16
Response categories5
Responses per respondent11.792
Responses per item70.750
Density0.737
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.

InstrumentPerinatal mental health identification and support practices survey (Kiraly, Boyle-Duke & Shklarski, 2024) - behavioral frequency items
Mean words per item14.625
Mean characters per item86.438
Mean characters per response11.600
Flesch-Kincaid grade level9.605

Columns

cov_agecov_employment_statuscov_ethnicitycov_gendercov_highest_degreecov_professioncov_provider_groupcov_years_practicingiditemresp

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("kiraly_2024_perinatal_mh_freq")
# Python
pip install irw

import irw
df = irw.fetch("kiraly_2024_perinatal_mh_freq")

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