Trajectories of Subjective Well-Being: A Growth Mixture Modeling Analysis on Longitudinal Data from Iceland

This study aims to analyse whether there are different subgroups in Iceland with varying trajectories of Subjective Well-Being (SWB) over time and to identify potential determinants of subgroup membership. Data from the longitudinal study Health and Well-being from the Icelandic Directorate of Healt...

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Main Author: Íris Anita Eyþórsdóttir. Kuhlman 1994-
Other Authors: Háskóli Íslands
Format: Master Thesis
Language:English
Published: 2023
Subjects:
Online Access:http://hdl.handle.net/1946/44661
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spelling ftskemman:oai:skemman.is:1946/44661 2023-07-16T03:59:07+02:00 Trajectories of Subjective Well-Being: A Growth Mixture Modeling Analysis on Longitudinal Data from Iceland Íris Anita Eyþórsdóttir. Kuhlman 1994- Háskóli Íslands 2023-05 application/pdf http://hdl.handle.net/1946/44661 en eng http://hdl.handle.net/1946/44661 Hagnýt sálfræði Vellíðan Thesis Master's 2023 ftskemman 2023-06-28T22:53:34Z This study aims to analyse whether there are different subgroups in Iceland with varying trajectories of Subjective Well-Being (SWB) over time and to identify potential determinants of subgroup membership. Data from the longitudinal study Health and Well-being from the Icelandic Directorate of Health was analysed for 2.425 adults aged 18 to 80 who participated from 2007 to 2017, a period coinciding with a financial crisis and significant changes in income inequality. The study uses Growth Mixture Modeling to identify distinct subgroups with varying SWB trajectories, and multinomial logistic regression to predict group membership based on determinants. Three groups were identified whose SWB trajectories differ. The Change group (n = 126) showed increasing SWB over time. The Low group (n = 1997) and High group (n = 302) showed no change in SWB and had consistently differing levels of SWB over the 10-year period. Group membership was determined by age, gender, household income, relative deprivation, financial sustainability, relationship status, number of children, and physical health. The findings indicate the presence of three distinct SWB trajectories among the Icelandic population. The study emphasises the importance for policymakers to consider the presence of social gradients in SWB in Iceland, and to develop targeted interventions and policies aimed at improving the quality of life for various subgroups. Markmið þessarar rannsóknar er að skoða hvort hægt sé að bera kennsl á ólíka þróun huglægrar vellíðanar yfir tíma hjá ólíkum hópum á Íslandi, auk þess að kanna hvaða áhrifaþættir spái fyrir um í hvaða undirhóp fólk fellur. Gögn úr langtímarannsókninni Heilsa og líðan Íslendinga frá Embætti landlæknis voru greind fyrir 2.425 einstaklinga á aldrinum 18 til 80 ára sem tóku þátt 2007 til 2017. Á umræddu tímabili átti sér stað bankahrun og miklar breytingar á tekjuójöfnuði. Þroskamynsturslíkön (e. Growth Mixture Modeling) voru notuð til að bera kennsl á ólíka undirhópa og margbreytutvíkosta aðhvarfsgreining (e. ... Master Thesis Iceland Skemman (Iceland)
institution Open Polar
collection Skemman (Iceland)
op_collection_id ftskemman
language English
topic Hagnýt sálfræði
Vellíðan
spellingShingle Hagnýt sálfræði
Vellíðan
Íris Anita Eyþórsdóttir. Kuhlman 1994-
Trajectories of Subjective Well-Being: A Growth Mixture Modeling Analysis on Longitudinal Data from Iceland
topic_facet Hagnýt sálfræði
Vellíðan
description This study aims to analyse whether there are different subgroups in Iceland with varying trajectories of Subjective Well-Being (SWB) over time and to identify potential determinants of subgroup membership. Data from the longitudinal study Health and Well-being from the Icelandic Directorate of Health was analysed for 2.425 adults aged 18 to 80 who participated from 2007 to 2017, a period coinciding with a financial crisis and significant changes in income inequality. The study uses Growth Mixture Modeling to identify distinct subgroups with varying SWB trajectories, and multinomial logistic regression to predict group membership based on determinants. Three groups were identified whose SWB trajectories differ. The Change group (n = 126) showed increasing SWB over time. The Low group (n = 1997) and High group (n = 302) showed no change in SWB and had consistently differing levels of SWB over the 10-year period. Group membership was determined by age, gender, household income, relative deprivation, financial sustainability, relationship status, number of children, and physical health. The findings indicate the presence of three distinct SWB trajectories among the Icelandic population. The study emphasises the importance for policymakers to consider the presence of social gradients in SWB in Iceland, and to develop targeted interventions and policies aimed at improving the quality of life for various subgroups. Markmið þessarar rannsóknar er að skoða hvort hægt sé að bera kennsl á ólíka þróun huglægrar vellíðanar yfir tíma hjá ólíkum hópum á Íslandi, auk þess að kanna hvaða áhrifaþættir spái fyrir um í hvaða undirhóp fólk fellur. Gögn úr langtímarannsókninni Heilsa og líðan Íslendinga frá Embætti landlæknis voru greind fyrir 2.425 einstaklinga á aldrinum 18 til 80 ára sem tóku þátt 2007 til 2017. Á umræddu tímabili átti sér stað bankahrun og miklar breytingar á tekjuójöfnuði. Þroskamynsturslíkön (e. Growth Mixture Modeling) voru notuð til að bera kennsl á ólíka undirhópa og margbreytutvíkosta aðhvarfsgreining (e. ...
author2 Háskóli Íslands
format Master Thesis
author Íris Anita Eyþórsdóttir. Kuhlman 1994-
author_facet Íris Anita Eyþórsdóttir. Kuhlman 1994-
author_sort Íris Anita Eyþórsdóttir. Kuhlman 1994-
title Trajectories of Subjective Well-Being: A Growth Mixture Modeling Analysis on Longitudinal Data from Iceland
title_short Trajectories of Subjective Well-Being: A Growth Mixture Modeling Analysis on Longitudinal Data from Iceland
title_full Trajectories of Subjective Well-Being: A Growth Mixture Modeling Analysis on Longitudinal Data from Iceland
title_fullStr Trajectories of Subjective Well-Being: A Growth Mixture Modeling Analysis on Longitudinal Data from Iceland
title_full_unstemmed Trajectories of Subjective Well-Being: A Growth Mixture Modeling Analysis on Longitudinal Data from Iceland
title_sort trajectories of subjective well-being: a growth mixture modeling analysis on longitudinal data from iceland
publishDate 2023
url http://hdl.handle.net/1946/44661
genre Iceland
genre_facet Iceland
op_relation http://hdl.handle.net/1946/44661
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