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COMPARING DATA-DRIVEN AND THEORY-DRIVEN APPROACHES TO CLASSIFY SOCIAL RELATIONSHIPS ACROSS THE LIFE COURSE

A life course perspective on social relationships highlights the salience of specific relationships at specific times in life, but analyses that account for life course trajectories in social relationships are rare. The present study explores the properties of two analytic approaches to classifying...

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Autores principales: Friedman, Elliot, Teas, Elizabeth, Marceau, Kristine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767163/
http://dx.doi.org/10.1093/geroni/igac059.2623
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author Friedman, Elliot
Teas, Elizabeth
Marceau, Kristine
author_facet Friedman, Elliot
Teas, Elizabeth
Marceau, Kristine
author_sort Friedman, Elliot
collection PubMed
description A life course perspective on social relationships highlights the salience of specific relationships at specific times in life, but analyses that account for life course trajectories in social relationships are rare. The present study explores the properties of two analytic approaches to classifying life course relationships: 1) a priori, or theoretical, classification strategies, and 2) latent profile analysis (LPA). Including multiple dimensions of social relationships at different time points across the life course, we determined whether theoretical or LPA profiles better predict later-life functional limitations, given that functional impairment is prevalent among middle-aged and older adults. We also assessed whether the two approaches are differentially associated with a broad set of covariates. Data were from three waves of the Midlife in the United States (MIDUS) study (n = 6,909). Relationship variables (parental affection, parental discipline, social support, social strain, and positive relations with others) were from wave 1. Functional limitations were measured at wave 3. Both the LPA and theoretical approach resulted in 4 profiles (although there were qualitative differences), and both approaches differentiated covariate values in similar ways. Loglikelihood comparisons in Mplus showed that the LPA, compared to the theoretical approach, was more sensitive to detecting differences in functional limitations. Overall, the data-driven profiles differed from theory-based profiles, which may be substantively meaningful for understanding associations between life-course relationships and health. Practical implications include development of a measure for future research to apply these novel life-course social relationship groups, particularly with smaller samples not suitable for LPA.
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spelling pubmed-97671632022-12-21 COMPARING DATA-DRIVEN AND THEORY-DRIVEN APPROACHES TO CLASSIFY SOCIAL RELATIONSHIPS ACROSS THE LIFE COURSE Friedman, Elliot Teas, Elizabeth Marceau, Kristine Innov Aging Abstracts A life course perspective on social relationships highlights the salience of specific relationships at specific times in life, but analyses that account for life course trajectories in social relationships are rare. The present study explores the properties of two analytic approaches to classifying life course relationships: 1) a priori, or theoretical, classification strategies, and 2) latent profile analysis (LPA). Including multiple dimensions of social relationships at different time points across the life course, we determined whether theoretical or LPA profiles better predict later-life functional limitations, given that functional impairment is prevalent among middle-aged and older adults. We also assessed whether the two approaches are differentially associated with a broad set of covariates. Data were from three waves of the Midlife in the United States (MIDUS) study (n = 6,909). Relationship variables (parental affection, parental discipline, social support, social strain, and positive relations with others) were from wave 1. Functional limitations were measured at wave 3. Both the LPA and theoretical approach resulted in 4 profiles (although there were qualitative differences), and both approaches differentiated covariate values in similar ways. Loglikelihood comparisons in Mplus showed that the LPA, compared to the theoretical approach, was more sensitive to detecting differences in functional limitations. Overall, the data-driven profiles differed from theory-based profiles, which may be substantively meaningful for understanding associations between life-course relationships and health. Practical implications include development of a measure for future research to apply these novel life-course social relationship groups, particularly with smaller samples not suitable for LPA. Oxford University Press 2022-12-20 /pmc/articles/PMC9767163/ http://dx.doi.org/10.1093/geroni/igac059.2623 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Friedman, Elliot
Teas, Elizabeth
Marceau, Kristine
COMPARING DATA-DRIVEN AND THEORY-DRIVEN APPROACHES TO CLASSIFY SOCIAL RELATIONSHIPS ACROSS THE LIFE COURSE
title COMPARING DATA-DRIVEN AND THEORY-DRIVEN APPROACHES TO CLASSIFY SOCIAL RELATIONSHIPS ACROSS THE LIFE COURSE
title_full COMPARING DATA-DRIVEN AND THEORY-DRIVEN APPROACHES TO CLASSIFY SOCIAL RELATIONSHIPS ACROSS THE LIFE COURSE
title_fullStr COMPARING DATA-DRIVEN AND THEORY-DRIVEN APPROACHES TO CLASSIFY SOCIAL RELATIONSHIPS ACROSS THE LIFE COURSE
title_full_unstemmed COMPARING DATA-DRIVEN AND THEORY-DRIVEN APPROACHES TO CLASSIFY SOCIAL RELATIONSHIPS ACROSS THE LIFE COURSE
title_short COMPARING DATA-DRIVEN AND THEORY-DRIVEN APPROACHES TO CLASSIFY SOCIAL RELATIONSHIPS ACROSS THE LIFE COURSE
title_sort comparing data-driven and theory-driven approaches to classify social relationships across the life course
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767163/
http://dx.doi.org/10.1093/geroni/igac059.2623
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