Related Experiment Video
Updated: Jun 14, 2025

07:05
Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
Published on: October 27, 2016
9.2K
The Volebny Kompas Datasets on Slovak Voter and Party Positions
Jozef Michal Mintal1, Kamila Borseková2, Lorenzo Cicchi3
1Matej Bel University, Banská Bystrica, Slovakia. jozef.mintal@umb.sk.
Scientific Data
|September 4, 2024
Summary
New datasets offer insights into Slovak voter and party positions for the 2023 election. This data aids understanding of democratic renewal in post-socialist contexts amid rising skepticism.
Area of Science:
- Political Science
- Sociology
- Democracy Studies
Background:
- Post-socialist democracies in Central Europe face challenges from increasing public skepticism and disengagement.
- Slovakia exemplifies these trends, highlighting the need for detailed electoral data.
- Understanding voter and party alignment is crucial for democratic renewal.
Purpose of the Study:
- To introduce two comprehensive datasets on voter and political party positions for the 2023 Slovak Parliamentary Elections.
- To provide a resource for analyzing the political landscape and democratic dynamics in Slovakia.
Main Methods:
- Collection of 134,699 voter responses on 39 key issues via the Volebný Kompas voting advisory application.
- Compilation of data on the stances of 11 political parties on the same 39 issues.
Main Results:
- The datasets offer a detailed mapping of voter and party positions prior to the 2023 election.
- Analysis reveals the political landscape's complexity, preceding a significant government change.
Conclusions:
- The freely available Volebný Kompas datasets are valuable resources for researchers and policymakers.
- These datasets facilitate a deeper understanding of evolving post-socialist democracies and electoral behavior.
Related Concept Videos
Position Vectors
843
A position vector is a fundamental concept in mathematics that helps determine the position of one point with respect to another point in space. It is a vector that describes the direction and distance between two points. Position vectors are highly useful in the field of math and science, as they help represent spatial relationships and make calculations easier.
For instance, we want to locate a point P(x, y, z) relative to the origin of coordinates O. In that case, we can define a position...
For instance, we want to locate a point P(x, y, z) relative to the origin of coordinates O. In that case, we can define a position...
843
Types of Surveys
41
Surveys are essential for marking property boundaries near water bodies. Different types of surveys are defined, each with its own function. Land surveys mark the property boundaries, while route surveys determine the position of properties on nearby highways. Topographic surveys create maps by capturing the three-dimensional features of the land. Hydrographic surveys focus on the shapes of underwater areas and the movement of streams through the properties. Mine surveys determine the relative...
41
Position and Displacement Vectors
9.4K
To describe the motion of an object, one should first be able to describe its position (where it is at any particular time). More precisely, the position needs to be specified relative to a convenient frame of reference. A frame of reference is an arbitrary set of axes from which the position and motion of an object are described. Earth is often used as a frame of reference to describe the position of an object in relation to stationary objects on Earth.
Further, several important kinds of...
Further, several important kinds of...
9.4K
Selected Data About Geographic Locations
27
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
27
Stratified Sampling Method
11.9K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
To choose a stratified sample, divide the population into groups called strata and then take a...
11.9K
Contingency Table
2.5K
A contingency table provides a way of portraying data that can facilitate calculating probabilities. It is a method of displaying a frequency distribution as a table with rows and columns to show how two variables may be dependent (contingent) upon each other; The table helps determine conditional probabilities quite quickly and can help systematically organize, analyze and quantify data. The table displays sample values concerning two variables that may be dependent or contingent on one...
2.5K

