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An exploratory psychometric network analysis of loneliness scales in a sample of older adults

To examine the relationships within and between commonly used measures of loneliness to determine the suitability of the measures in older adults. Further, to determine whether certain items in these measures are more psychometrically robust in terms of capturing different types of loneliness across...

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Autores principales: Thompson, Alexandra, Pollet, Thomas V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10182353/
https://www.ncbi.nlm.nih.gov/pubmed/37359673
http://dx.doi.org/10.1007/s12144-023-04697-9
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author Thompson, Alexandra
Pollet, Thomas V.
author_facet Thompson, Alexandra
Pollet, Thomas V.
author_sort Thompson, Alexandra
collection PubMed
description To examine the relationships within and between commonly used measures of loneliness to determine the suitability of the measures in older adults. Further, to determine whether certain items in these measures are more psychometrically robust in terms of capturing different types of loneliness across this population. Data were obtained from 350 older adults via completion of an online survey. Four measures of loneliness were completed. These were the University of California Los Angeles Loneliness Scale 4 (Version 3), the de Jong Gierveld Loneliness Scale, the Social and Emotional Loneliness Scale for Adults (Short Version) and a direct measure of loneliness. Analysis via a regularized partial correlation network and via clique percolation revealed that only the SELSA-S encompassed loneliness relating to deficits in social, family and romantic relationships. The remaining measures tapped mostly into social loneliness alone. The direct measure of loneliness had the strongest connection to the UCLA item-4 and the de Jong Gierveld item-1 exhibited the strongest bridge centrality, being a member of the most clusters. The results indicate that should researchers be interested in assessing loneliness resulting from specific relationships, then the SELSA-S would be the most suitable measure. Whereas the other measures are suitable for assessing loneliness more generally. The results further suggest that the de Jong Gierveld item-1 may be a more suitable direct measure of loneliness than that currently employed as it taps into a greater number of relationships.
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spelling pubmed-101823532023-05-14 An exploratory psychometric network analysis of loneliness scales in a sample of older adults Thompson, Alexandra Pollet, Thomas V. Curr Psychol Article To examine the relationships within and between commonly used measures of loneliness to determine the suitability of the measures in older adults. Further, to determine whether certain items in these measures are more psychometrically robust in terms of capturing different types of loneliness across this population. Data were obtained from 350 older adults via completion of an online survey. Four measures of loneliness were completed. These were the University of California Los Angeles Loneliness Scale 4 (Version 3), the de Jong Gierveld Loneliness Scale, the Social and Emotional Loneliness Scale for Adults (Short Version) and a direct measure of loneliness. Analysis via a regularized partial correlation network and via clique percolation revealed that only the SELSA-S encompassed loneliness relating to deficits in social, family and romantic relationships. The remaining measures tapped mostly into social loneliness alone. The direct measure of loneliness had the strongest connection to the UCLA item-4 and the de Jong Gierveld item-1 exhibited the strongest bridge centrality, being a member of the most clusters. The results indicate that should researchers be interested in assessing loneliness resulting from specific relationships, then the SELSA-S would be the most suitable measure. Whereas the other measures are suitable for assessing loneliness more generally. The results further suggest that the de Jong Gierveld item-1 may be a more suitable direct measure of loneliness than that currently employed as it taps into a greater number of relationships. Springer US 2023-05-13 /pmc/articles/PMC10182353/ /pubmed/37359673 http://dx.doi.org/10.1007/s12144-023-04697-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Thompson, Alexandra
Pollet, Thomas V.
An exploratory psychometric network analysis of loneliness scales in a sample of older adults
title An exploratory psychometric network analysis of loneliness scales in a sample of older adults
title_full An exploratory psychometric network analysis of loneliness scales in a sample of older adults
title_fullStr An exploratory psychometric network analysis of loneliness scales in a sample of older adults
title_full_unstemmed An exploratory psychometric network analysis of loneliness scales in a sample of older adults
title_short An exploratory psychometric network analysis of loneliness scales in a sample of older adults
title_sort exploratory psychometric network analysis of loneliness scales in a sample of older adults
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10182353/
https://www.ncbi.nlm.nih.gov/pubmed/37359673
http://dx.doi.org/10.1007/s12144-023-04697-9
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