Evidence map›Paper›PMID 39231980›Full record

ArticleScientific data2024

The Volebny Kompas Datasets on Slovak Voter and Party Positions.

Jozef Michal Mintal, Kamila Borseková, Lorenzo Cicchi, Vladimír Müller, Róbert Vancel, Patrícia Šimková, Kevin Deegan-Krause

Abstract read
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jozef Michal MintalMatej Bel University, Banská Bystrica, Slovakia. jozef.mintal@umb.sk.ORCID http://orcid.org/0000-0003-1651-7146
Kamila BorsekováMatej Bel University, Banská Bystrica, Slovakia.ORCID http://orcid.org/0000-0001-5411-7915
Lorenzo CicchiEuropean University Institute, San Domenico di Fiesole, Italy.
Vladimír MüllerMatej Bel University, Banská Bystrica, Slovakia.ORCID http://orcid.org/0000-0001-9736-8685
Róbert VancelMatej Bel University, Banská Bystrica, Slovakia.ORCID http://orcid.org/0000-0002-1439-4528
Patrícia ŠimkováMatej Bel University, Banská Bystrica, Slovakia.
Kevin Deegan-KrauseWayne State University, MI, Detroit, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three decades after the fall of socialist regimes in Central Europe, the successes of democratic transition face threats from broader trends toward skepticism, disengagement and distrust across Europe, though perhaps more intensively in the East. This backdrop, especially evident in Slovakia, underscores the need for comprehensive data on voter and political party positions during elections, a key opportunity for democratic renewal. Our article introduces two datasets from the Volebný Kompas project: the first, is a collection of 134,699 voter responses on 39 key issues, obtained through the Volebný Kompas voting advisory application for the 2023 snap Slovak Parliamentary Elections. The second dataset details the positions of 11 political parties on the same issues. Together, they provide a comprehensive view of Slovakia's political landscape before a pivotal election which resulted in a dramatic change in government composition. As freely available and validated resources, these datasets can serve as an essential tool for understanding and navigating the evolving landscape of post-socialist democracies.

Identifiers

PMID39231980
PMCPMC11374779

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.