gilbert_meta_75

3,550 responses from 142 respondents to 10 items.

About this table

DescriptionMeasure of political engagement
ReferenceBaron, Hannah; Blair, Robert A.; Choi, Donghyun Danny; Gamboa, Laura; Gottlieb, Jessica; Robinson, Amanda Lea; Rosenzweig, Steven C.; Turnbull, Megan M.; West, Emily A., Baron, H., Blair, R., Choi, D. D., Gamboa, L., Gottlieb, J., Robinson, A. L., … West, E. A. (2021, May 10). Couples Therapy for a Divided America: Assessing the Effects of Reciprocal Group Reflection on Partisan Polarization. https://doi.org/10.31219/osf.io/3x7z82024, "Replication Data for: Couples Therapy for a Divided America: Assessing the Effects of Reciprocal Group Reflection on Partisan Polarization", https://doi.org/10.7910/DVN/ZDFX1V, Harvard Dataverse, V1, UNF:6:M6GILdegwYjp+ggogy1yMg== [fileUNF]
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/ZDFX1V

Size and shape

Responses3,550
Respondents142
Items10
Response categories2
Responses per respondent25
Responses per item355
Density2.500
LongitudinalTRUE

Classification

age rangeAdult (18+)
sampleEducational
construct typeOpinion/attitude, Personality
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
construct nameCouples Therapy for a Divided America: Assessing the Effects of Reciprocal Group Reflection on Partisan Polarization

Item text

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

InstrumentMeasure of political engagement
Mean words per item7.100
Mean characters per item43
Mean characters per response2.500
Flesch-Kincaid grade level62.060

Columns

block_idcov_asiancov_femalecov_partycov_whiteiditemresptreatwave

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("gilbert_meta_75")
# Python
pip install irw

import irw
df = irw.fetch("gilbert_meta_75")

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