gilbert_meta_36

19,740 responses from 1,418 respondents to 7 items.

One of 2 tables from the same source; this one is the 36 table. The others are listed under Related tables.

About this table

DescriptionPolitical knowledge 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

Responses19,740
Respondents1,418
Items7
Response categories2
Responses per respondent13.921
Responses per item2,820
Density1.989
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.

InstrumentPolitical knowledge in an RCT
Mean words per item11.857
Mean characters per item75
Mean characters per response14.405
Flesch-Kincaid grade level9.639

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:

# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_36")
# Python (needs a free Redivis account)
pip install irw

import irw
df = irw.fetch("gilbert_meta_36")

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 versionv540
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v37.0