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01-04-2020 | ORIGINAL PAPER

The Use of Latent Profiles to Explore the Multi-dimensionality of Self-compassion

Auteurs: Sarah Ullrich-French, Anne E. Cox

Gepubliceerd in: Mindfulness | Uitgave 6/2020

Abstract

Objectives

Self-compassion is a multi-dimensional construct; however, little is known about the multi-dimensionality because a composite self-compassion score is typically used. The purpose of this study was to explore profiles of the self-compassion dimensions using latent profile analysis.

Methods

Three healthy, independent samples completed assessments of self-compassion and psychological inflexibility (sample 1 N = 419), perceived stress (sample 2 N = 384), or perceived stress, anxiety, and depression (sample 3 N = 509).

Results

Similar profile patterns emerged across three independent samples. Profile differences in composite self-compassion revealed different underlying dimensional patterns that resulted in similar composite self-compassion scores. In addition, some profiles with different composite scores had similar levels of psychological inflexibility or perceived stress.

Conclusions

Although there is general support for the use of a composite score representing the relative balance of self-compassion, limitations to representing self-compassion with a single score are highlighted. Key limitations are clarity of what a composite score captures, specific mechanisms underlying the construct, and targeted intervention implications.

vorige artikel The Process of Science: A Critical Evaluation of more than 15 Years of Research on Self-Compassion with the Self-Compassion Scale

volgende artikel Mindfulness Improves Attention Resource Allocation During Response Inhibition in Older Adults

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Titel: The Use of Latent Profiles to Explore the Multi-dimensionality of Self-compassion
Auteurs: Sarah Ullrich-French
Anne E. Cox
Publicatiedatum: 01-04-2020
Uitgeverij: Springer US
Gepubliceerd in: Mindfulness / Uitgave 6/2020
Print ISSN: 1868-8527
Elektronisch ISSN: 1868-8535
DOI: https://doi.org/10.1007/s12671-020-01365-y

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Abstract

Objectives

Methods

Results

Conclusions

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