gilbert_meta_35

41,808 responses from 1,438 respondents to 12 items.

One of 2 tables from the same source; this one is the 35 table. The others are listed under Related tables.

About this table

DescriptionDemocratic values in an RCT
ReferencePersson, M., Andersson, K., Zetterberg, P., Ekman, J., & Lundin, S. (2020). Does deliberative education increase civic competence? Results from a field experiment. Journal of Experimental Political Science, 7(3), 199-208. Persson, Mikael; Andersson, Klas; Zetterberg, Pär; Lundin, Simon; Ekman, Joakim, 2019, "Does Deliberative Education Increase Civic Competence? Results from a Field Experiment", https://doi.org/10.7910/DVN/UMRAM7, Harvard Dataverse, V1, UNF:6:GvZwO7WQe9glMDMZb5eBnQ== [fileUNF]
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/UMRAM7

Size and shape

Responses41,808
Respondents1,438
Items12
Response categories4
Responses per respondent29.074
Responses per item3,484
Density2.423
LongitudinalTRUE

Classification

age rangeMixed
child age (for child-focused studies)Adolescent (12-18y)
sampleEducational
construct typeOpinion/attitude, Personality
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameDoes Deliberative Education Increase Civic Competence? Results from a Field Experiment

Item text

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

InstrumentDemocratic values in an RCT
Mean words per item7.952
Mean characters per item47.143
Mean characters per response13.190
Flesch-Kincaid grade level6.943

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, il_hte_35_36.R. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
cluster_idIRW standard The group a focal unit is nested in — classroom, teacher, school.classID
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).not traced
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.not traced
treatIRW standard Treatment group assignment in experimental studies.t
waveIRW standard Longitudinal wave indicator.not traced
Respondent covariates
cov_books_in_homeCovariate books
cov_father_country_originCovariate father
cov_femaleCovariate female
cov_mother_country_originCovariate mother

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_35")
# Python
pip install irw

import irw
df = irw.fetch("gilbert_meta_35")

How to cite

@misc{https://doi.org/10.7910/dvn/umram7,
  doi = {10.7910/DVN/UMRAM7},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/UMRAM7},
  author = {Persson, Mikael and Andersson, Klas and Zetterberg, Pär and Lundin, Simon and Ekman, Joakim},
  keywords = {Social Sciences},
  title = {Does Deliberative Education Increase Civic Competence? Results from a Field Experiment},
  publisher = {Harvard Dataverse},
  year = {2019}
}

Version and provenance

IRW versionv569
Redivis datasetitem_response_warehouse v71.0
Redivis dataset DOI10.57761/f5n4-k797
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v43.0