A hybrid approach to analysing large scale surveys: individual values, opinions and perceptions

Pileggi, SF

A hybrid approach to analysing large scale surveys: individual values, opinions and perceptions

Pileggi, SF

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Publisher:: Springer Nature
Publication Type:: Journal Article
Citation:: SN Social Sciences, 4, (8), pp. 144

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Field	Value	Language
dc.contributor.author	Pileggi, SF
dc.date.accessioned	2024-10-24T23:49:38Z
dc.date.available	2024-10-24T23:49:38Z
dc.identifier.citation	SN Social Sciences, 4, (8), pp. 144
dc.identifier.issn	2662-9283
dc.identifier.issn	2662-9283
dc.identifier.uri	http://hdl.handle.net/10453/181573
dc.description.abstract	<jats:title>Abstract</jats:title><jats:p>High-dimensional large scale surveys enable broad research capabilities and potential insight. However, when dealing with the intrinsic complexity of social science, the underlying knowledge engineering process may play a critical role and require to consider the characteristics and peculiarities of a given problem in context. This study proposes an analysis framework based on clustering techniques, which have been applied to discover patterns among a number of abstracted features resulting from selected attributes of the World Values Survey (WVS). As an assumption, such features have been softly classified as values, opinions and perceptions, based on their theoretical likelihood to change along the time. From a more philosophical perspective, this work assumes hybrid practices as there is no pre-formulated theory but rather an attempt to discover patterns and new knowledge from data. Given the relatively manageable dimensionality of the input dataset, the feature selection has been performed according to an application-oriented approach (rather than driven by statistical analysis) to establish a more comprehensive and consistent research framework. Among the main findings, a symbiotic relationship between the perception of satisfaction and of financial stability, as well as between the perception of security and of happiness, in addition to more complex patterns involving traditional values (e.g. family and religion), politics and believes with an impact on society. Last but not least, despite its holistic focus, the study has allowed the identification of few research gaps and, therefore, potential further research direction in the broad domain of Social Sciences.</jats:p>
dc.language	en
dc.publisher	Springer Nature
dc.relation.ispartof	SN Social Sciences
dc.relation.isbasedon	10.1007/s43545-024-00954-1
dc.rights	info:eu-repo/semantics/openAccess
dc.title	A hybrid approach to analysing large scale surveys: individual values, opinions and perceptions
dc.type	Journal Article
utslib.citation.volume	4
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2024-10-24T23:49:36Z
pubs.issue	8
pubs.publication-status	Published online
pubs.volume	4
utslib.citation.issue	8

Abstract:

AbstractHigh-dimensional large scale surveys enable broad research capabilities and potential insight. However, when dealing with the intrinsic complexity of social science, the underlying knowledge engineering process may play a critical role and require to consider the characteristics and peculiarities of a given problem in context. This study proposes an analysis framework based on clustering techniques, which have been applied to discover patterns among a number of abstracted features resulting from selected attributes of the World Values Survey (WVS). As an assumption, such features have been softly classified as values, opinions and perceptions, based on their theoretical likelihood to change along the time. From a more philosophical perspective, this work assumes hybrid practices as there is no pre-formulated theory but rather an attempt to discover patterns and new knowledge from data. Given the relatively manageable dimensionality of the input dataset, the feature selection has been performed according to an application-oriented approach (rather than driven by statistical analysis) to establish a more comprehensive and consistent research framework. Among the main findings, a symbiotic relationship between the perception of satisfaction and of financial stability, as well as between the perception of security and of happiness, in addition to more complex patterns involving traditional values (e.g. family and religion), politics and believes with an impact on society. Last but not least, despite its holistic focus, the study has allowed the identification of few research gaps and, therefore, potential further research direction in the broad domain of Social Sciences.

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http://hdl.handle.net/10453/181573