RD_PPCSEDSOF_Afable_2023

57,299 responses from 5,209 respondents to 11 items.

About this table

DescriptionCenter for Epidemiological Studies - Depression (CES-D) Scale in older Filipinos.
ReferenceAfable, Sanny Boy; Cruz, Grace Trinidad; Saito, Yasuhiko, 2023, "Replication Data for: Psychometric Properties of the CES-D Scale in Older Filipinos", https://doi.org/10.7910/DVN/UT9RVL, Harvard Dataverse, V1, UNF:6:Sz8/8a1aaU/q4PPwsdwpdw== [fileUNF]
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/UT9RVL

Size and shape

Responses57,299
Respondents5,209
Items11
Response categories3
Responses per respondent11
Responses per item5,209
Density1
LongitudinalFALSE

Classification

age rangeElderly (minimum age >50)
sampleRepresentative
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameCenter for Epidemiological Studies-Depression (CES-D) Scale in Older Filipinos

Item text

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

InstrumentCenter for Epidemiological Studies - Depression (CES-D) Scale in older Filipinos.
Mean words per item4.636
Mean characters per item23.273
Mean characters per response10.333
Flesch-Kincaid grade level1.952

Columns

iditemresp

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("RD_PPCSEDSOF_Afable_2023")
# Python
pip install irw

import irw
df = irw.fetch("RD_PPCSEDSOF_Afable_2023")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse v53.0
Redivis dataset DOI10.57761/4g08-xt41
Manifest pin for this IRW versionv53.0
Metadata sourceirw_meta v23.0