eurpar2_mudfold

10,716 responses from 1,786 respondents to 6 items.

One of 2 tables from the same source; this one measures European Political Party Preference Unfolding Scale. The others are listed under Related tables.

About this table

DescriptionPolitical party preference data from Europeans
ReferenceSchuur, H. V. (1984). Structure in political beliefs: A new model for stochastic unfolding with application to European party activists (Doctoral dissertation, Rijksuniversiteit te Groningen).
LicenceGPL-3.0
Source datahttps://cran.r-project.org/web/packages/mudfold/index.html

Size and shape

Responses10,716
Respondents1,786
Items6
Response categories2
Responses per respondent6
Responses per item1,786
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleGeneral/non-specific
construct typePersonality
measurement toolTest
item formatLikert Scale/selected response
primary language(s)eng
construct nameEuropean Political Party Preference Unfolding Scale

Item text

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

InstrumentPolitical party preference data from Europeans
Mean words per item3.667
Mean characters per item32.667
Mean characters per response2.500
Flesch-Kincaid grade level23.385

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, mudfold.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
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script

What item codes and covariate values stand for is in the package’s documentation, mudfold::EURPAR2.

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("eurpar2_mudfold")
# Python
pip install irw

import irw
df = irw.fetch("eurpar2_mudfold")

How to cite

@phdthesis{schuur1984structure,
  title={Structure in political beliefs: A new model for stochastic unfolding with application to European party activists},
  author={Schuur, H. V.},
  year={1984},
  school={Rijksuniversiteit te Groningen},
  url={https://cran.r-project.org/web/packages/mudfold/index.html}
}

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v43.0