Skip to main content

LUP Student Papers

LUND UNIVERSITY LIBRARIES

Politik i simplexrummet

Lysobyk, Anhelina LU and Sjögreen Gleisner, Theo LU (2024) STAH11 20232
Department of Statistics
Abstract
In this thesis we discuss a potential problem of negative correlation arising when using ordinary statistical methods on compositional data. We discuss a less known statistical method, compositional data analysis, that stands on the pillars of the works of John Aitchison from the 1980-s and Pawlowsky-Glahn, Egozcue and Delgado from the 2015. Using results from the 2022 national parliament elections divided into 290 Swedish municipalities, we present how the method, together with multivariate regression, can be used to explore the effects of different social and economic aspects on how people tend to vote. We find compositional data analysis to be a powerful and underutilized tool for analyzing aggregate voter behavior, allowing an... (More)
In this thesis we discuss a potential problem of negative correlation arising when using ordinary statistical methods on compositional data. We discuss a less known statistical method, compositional data analysis, that stands on the pillars of the works of John Aitchison from the 1980-s and Pawlowsky-Glahn, Egozcue and Delgado from the 2015. Using results from the 2022 national parliament elections divided into 290 Swedish municipalities, we present how the method, together with multivariate regression, can be used to explore the effects of different social and economic aspects on how people tend to vote. We find compositional data analysis to be a powerful and underutilized tool for analyzing aggregate voter behavior, allowing an application of regression analysis to elections with results that are easy to visualize and present. (Less)
Please use this url to cite or link to this publication:
author
Lysobyk, Anhelina LU and Sjögreen Gleisner, Theo LU
supervisor
organization
alternative title
Kompositionell dataanalys av valresultat
course
STAH11 20232
year
type
M2 - Bachelor Degree
subject
language
Swedish
id
9145898
date added to LUP
2024-01-24 11:33:11
date last changed
2024-01-24 11:33:11
@misc{9145898,
  abstract     = {{In this thesis we discuss a potential problem of negative correlation arising when using ordinary statistical methods on compositional data. We discuss a less known statistical method, compositional data analysis, that stands on the pillars of the works of John Aitchison from the 1980-s and Pawlowsky-Glahn, Egozcue and Delgado from the 2015. Using results from the 2022 national parliament elections divided into 290 Swedish municipalities, we present how the method, together with multivariate regression, can be used to explore the effects of different social and economic aspects on how people tend to vote. We find compositional data analysis to be a powerful and underutilized tool for analyzing aggregate voter behavior, allowing an application of regression analysis to elections with results that are easy to visualize and present.}},
  author       = {{Lysobyk, Anhelina and Sjögreen Gleisner, Theo}},
  language     = {{swe}},
  note         = {{Student Paper}},
  title        = {{Politik i simplexrummet}},
  year         = {{2024}},
}