rfq_wozniakprus_2021

4,304 responses from 538 respondents to 8 items.

About this table

DescriptionFactor structure and psychometric properties of the RFQ-8 in a Polish sample
ReferenceWoźniak-Prus, Małgorzata, 2021, "Factor structure and psychometric properties of the RFQ-8 in a Polish sample", https://doi.org/10.7910/DVN/BMCC4C, Harvard Dataverse, V1
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/BMCC4C

Size and shape

Responses4,304
Respondents538
Items8
Response categories7
Responses per respondent8
Responses per item538
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)pol
construct nameReflective Functioning Questionnaire

Item text

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

InstrumentReflective Functioning Questionnaire, 8-item version (RFQ-8)
Mean words per item1
Mean characters per item2
Mean characters per response5.375
Flesch-Kincaid grade level-3.400

Columns

cov_agecov_area_of_studycov_gendercov_nationalityiditemresp

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("rfq_wozniakprus_2021")
# Python
pip install irw

import irw
df = irw.fetch("rfq_wozniakprus_2021")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_2 v19.0
Redivis dataset DOI10.57761/qtx5-4m80
Manifest pin for this IRW versionv19.0
Metadata sourceirw_meta v23.0