Measuring perceptions of self and others in what people say: A replication and extension of the functional self-discrimination measure

Journal article


Styles, Robert G. and Atkins, Paul W. B.. (2018). Measuring perceptions of self and others in what people say: A replication and extension of the functional self-discrimination measure. Journal of Contextual Behavioral Science. 9, pp. 45 - 52. https://doi.org/10.1016/j.jcbs.2018.06.005
AuthorsStyles, Robert G. and Atkins, Paul W. B.
Abstract

The Functional Self-Discrimination Measure (FSDM) is a method of coding a speaker's verbal discrimination of their own behavior based on Relational Frame Theory (RFT) that predicts wellbeing 6 and 12 months later (Atkins & Styles, 2016). In this study, we replicated our original findings with a new sample, and expanded the coding scheme to include verbal discriminations of the ‘other’. In addition to Value Oriented Self-Rules and Self-as-Context, we show Other-as-Context also predicts long-term wellbeing. Further, we show that the ratio of coded to total utterances predicts psychological wellbeing. This approach provides researchers and clinicians with an additional tool for understanding and measuring the ways people discriminate their own and others behavior in natural language that is a reliable determinant of wellbeing over extended periods.

Keywordsself; mixed method research; identity; epistemology; psychological flexibility; qualitative research
Year2018
JournalJournal of Contextual Behavioral Science
Journal citation9, pp. 45 - 52
PublisherElsevier
ISSN2212-1447
Digital Object Identifier (DOI)https://doi.org/10.1016/j.jcbs.2018.06.005
Scopus EID2-s2.0-85048871546
Page range45 - 52
Research GroupInstitute for Positive Psychology and Education
Publisher's version
File Access Level
Controlled
Place of publicationUnited States of America
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