dc.contributor.author | Keogh, Sinéad | |
dc.contributor.author | O’Neill, Stephen | |
dc.contributor.author | Walsh, Kieran | |
dc.date.accessioned | 2021-02-17T08:47:07Z | |
dc.date.issued | 2021-01-25 | |
dc.identifier.citation | Keogh, Sinéad, O’Neill, Stephen, & Walsh, Kieran. (2021). Composite Measures for Assessing Multidimensional Social Exclusion in Later Life: Conceptual and Methodological Challenges. Social Indicators Research. doi:10.1007/s11205-021-02617-7 | en_IE |
dc.identifier.issn | 1573-0921 | |
dc.identifier.uri | http://hdl.handle.net/10379/16560 | |
dc.description.abstract | Although there are a number of approaches to constructing a measure of multidimensional social exclusion in later life, theoretical and methodological challenges exist around the aggregation and weighting of constituent indicators. This is in addition to a reliance on secondary data sources that were not designed to collect information on social exclusion. In this paper, we address these challenges by comparing a range of existing and novel approaches to constructing a composite measure and assess their performance in explaining social exclusion in later life. We focus on three widely used approaches (sum-of-scores with an applied threshold; principal component analysis; normalisation with linear aggregation), and three novel supervised machine-learning based approaches (least absolute shrinkage and selection operator; classification and regression tree; random forest). Using an older age social exclusion conceptual framework, these approaches are applied empirically with data from Wave 1 of The Irish Longitudinal Study on Ageing (TILDA). The performances of the approaches are assessed using variables that are causally related to social exclusion. | en_IE |
dc.format | application/pdf | en_IE |
dc.language.iso | en | en_IE |
dc.publisher | Springer | en_IE |
dc.relation.ispartof | Social Indicators Research | en |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Ireland | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ | |
dc.subject | Social exclusion | en_IE |
dc.subject | Older adults | en_IE |
dc.subject | Composite measure | en_IE |
dc.subject | Machine learning | en_IE |
dc.subject | Multidimensionality | en_IE |
dc.title | Composite measures for assessing multidimensional social exclusion in later life: Conceptual and methodological challenges | en_IE |
dc.type | Article | en_IE |
dc.date.updated | 2021-02-12T19:54:58Z | |
dc.identifier.doi | 10.1007/s11205-021-02617-7 | |
dc.local.publishedsource | https://doi.org/10.1007/s11205-021-02617-7 | en_IE |
dc.description.peer-reviewed | peer-reviewed | |
dc.description.embargo | 2022-01-25 | |
dc.internal.rssid | 24775010 | |
dc.local.contact | Sinead Keogh, Icsg, Nui Galway. Email: sinead.keogh@nuigalway.ie | |
dc.local.copyrightchecked | Yes | |
dc.local.version | PUBLISHED | |
nui.item.downloads | 107 | |