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      A test of a triadic conceptualization of future self-identification

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          Abstract

          People encounter intertemporal decisions every day and often engage in behaviors that are not good for their future. One factor that may explain these decisions is the perception of their distal future self. An emerging body of research suggests that individuals vary in how they perceive their future self and many perceive their future self as a different person. The present research aimed to (1) build on and extend Hershfield’s et al. (2011) review of the existing literature and advance the conceptualization of the relationship between the current and future self, (2) extend and develop measures of this relationship, and (3) examine whether and how this relationship predicts intrapsychic and achievement outcomes. The results of the literature review suggested that prior research mostly focused on one or two of the following components: (a) perceived relatedness between the current and future self in terms of similarity and connectedness, (b) vividness in imagining the future self, and (c) degree of positivity felt toward the future self. Additionally, differences in how researchers have labeled the overall construct lead us to propose future self-identification as a new label for the three-component construct. Our research built on existing measures to test the validity of a three-component model of future self-identification. Across three samples of first-year undergraduates, this research established the psychometric properties of the measure, and then examined the relationships between the components and four outcome domains of interest: (1) psychological well-being (self-esteem, hope), (2) imagination of the future (visual imagery of future events, perceived temporal distance), (3) self-control, and (4) academic performance. We demonstrated that the three components of future self-identification were correlated but independent factors. Additionally, the three components differed in their unique relationships with the outcome domains, demonstrating the utility of measuring all three components of future self-identification when seeking to predict important psychological and behavioral outcomes.

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          Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Writing – original draft
                Role: InvestigationRole: Writing – original draft
                Role: Data curationRole: InvestigationRole: Writing – original draft
                Role: ConceptualizationRole: InvestigationRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – review & editing
                Role: Formal analysis
                Role: ConceptualizationRole: Investigation
                Role: ConceptualizationRole: InvestigationRole: Writing – original draft
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                24 November 2020
                2020
                : 15
                : 11
                : e0242504
                Affiliations
                [1 ] Montclair State University, Montclair, NJ, United States of America
                [2 ] Arizona State University, Tempe, AZ, United States of America
                [3 ] National University of Singapore, Singapore, Singapore
                Aalborg University, DENMARK
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-5971-3780
                Article
                PONE-D-20-16490
                10.1371/journal.pone.0242504
                7685460
                33232353
                4459cc64-0e79-4ae7-93b0-5d0a5f28b5be
                © 2020 Bixter et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 31 May 2020
                : 3 November 2020
                Page count
                Figures: 2, Tables: 9, Pages: 39
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100005246, Institute of Education Sciences;
                Award ID: R305A160023
                Award Recipient :
                The research reported here was supported by the Institute of Education Sciences, U.S. Department of Education, through Grant R305A160023 to Arizona State University. The opinions expressed are those of the authors and do not represent views of the Institute or the U.S. Department of Education.
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