magnus-format-study1_2022

19,121 responses from 602 respondents to 33 items.

About this table

DescriptionThe psychometric effects of filter questions on self-reported symptom frequencies
ReferenceMagnus, Brooke E. “Does Response Format Matter? the Psychometric Effects of Filter Questions on Self-reported Symptom Frequencies.” OSF, 24 June 2022. Web.
DOI10.1177/1073191120952889
LicenceCC BY 4.0
Source datahttps://osf.io/ytv85/files/osfstorage

Size and shape

Responses19,121
Respondents602
Items33
Response categories6
Responses per respondent31.762
Responses per item579.424
Density0.962
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleTargeted/specific
construct typeCognitive/educational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameThe psychometric effects of filter questions on self-reported symptom frequencies

Columns

cov_agecov_chronicillnesscov_conditioncov_durationcov_educationcov_ethnicitycov_formatcov_gendercov_generalmentalcov_generalphysicalcov_raceiditemresp

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("magnus-format-study1_2022")
# Python
pip install irw

import irw
df = irw.fetch("magnus-format-study1_2022")

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