eammi_grahe_2018_support

38,456 responses from 3,180 respondents to 13 items.

About this table

DescriptionPerceived Social Support
ReferenceGrahe, J. E., Chalk, H. M., Cramblet Alvarez, L. D., Faas, C., Hermann, A., Ph.D., McFall, J. P., & Molyneux, K. (2019, June 13). EAMMi2 Public Data. https://doi.org/10.17605/OSF.IO/QTQPB
DOI10.5334/jopd.38
LicencePermission via Email
Source datahttps://osf.io/qtqpb/overview

Size and shape

Responses38,456
Respondents3,180
Items13
Response categories7
Responses per respondent12.093
Responses per item2958.154
Density0.930
LongitudinalTRUE

Classification

age rangeAdult (18+)
sampleGeneral/non-specific
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct namePerceived Social Support

Item text

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

InstrumentPerceived Social Support
Mean words per item10.538
Mean characters per item50.692
Mean characters per response7.341
Flesch-Kincaid grade level4.022

Columns

cov_agecov_armed_forces_yearscov_childhood_statecov_educationcov_gendercov_incomecov_political_ideologycov_political_partycov_president_supportcov_racecov_schoolcov_siblingscov_us_residentcov_years_in_usdateiditemresprt

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("eammi_grahe_2018_support")
# Python
pip install irw

import irw
df = irw.fetch("eammi_grahe_2018_support")

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