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      Assessing the relationship between early maladaptive schemas and interpersonal problems using interpersonal scenarios depicting rejection

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          Abstract

          Background

          Early maladaptive schemas (EMSs) have been theorised to contribute to reoccurring interpersonal problems. This study developed a novel experimental paradigm that aimed to assess if EMSs moderate the impact of interpersonal situations on interpersonal responses by manipulating the degree of rejection in a series of interpersonal vignettes depicting acceptance, ambiguous rejection and rejection.

          Method

          In a sample of 158 first-year psychology students (27.2% male; 72.2% female; 0.6% other) participant responses to interpersonal scenarios were measured including degree of perceived rejection, emotional distress, conviction in varying cognitive appraisals consistent with attribution theory and behavioural responses to scenarios. Qualitative data was analysed using inductive content analysis and statistical analyses were conducted using multi-level mixed effect linear and logistic regression models using the software Jamovi.

          Results

          People reporting higher EMSs reported increased emotional distress ( F(1, 156) = 24.85, p < .001), perceptions of rejection ( F(1, 156) = 34.33, p < .001), self-blame ( F(1, 156) = 53.25, p < .001), other-blame ( F(1, 156) = 13.16, p < .001) and more intentional ( F(1, 156) = 9.24, p = .003), stable ( F(1, 156) = 25.22, p < .001) and global ( F(1, 156) = 19.55, p < .001) attributions but no differences in reported behavioural responses. The results also supported that EMSs moderate the relationship between interpersonal rejection and perceptions of rejection ( F(2, 1252) = 18.43, p < .001), emotional distress ( F(2, 1252) = 12.64, p < .001) and self-blame ( F(2, 1252) = 14.00, p < .001).

          Conclusion

          Together these findings suggest that people with EMSs experience increased distress and select negative cognitions in situations where there are higher levels of rejection but that distress and negative cognitions are generally higher in people with EMSs irrespective of the situation.

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          Most cited references79

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          The qualitative content analysis process.

          This paper is a description of inductive and deductive content analysis. Content analysis is a method that may be used with either qualitative or quantitative data and in an inductive or deductive way. Qualitative content analysis is commonly used in nursing studies but little has been published on the analysis process and many research books generally only provide a short description of this method. When using content analysis, the aim was to build a model to describe the phenomenon in a conceptual form. Both inductive and deductive analysis processes are represented as three main phases: preparation, organizing and reporting. The preparation phase is similar in both approaches. The concepts are derived from the data in inductive content analysis. Deductive content analysis is used when the structure of analysis is operationalized on the basis of previous knowledge. Inductive content analysis is used in cases where there are no previous studies dealing with the phenomenon or when it is fragmented. A deductive approach is useful if the general aim was to test a previous theory in a different situation or to compare categories at different time periods.
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            The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories

            The psychometric properties of the Depression Anxiety Stress Scales (DASS) were evaluated in a normal sample of N = 717 who were also administered the Beck Depression Inventory (BDI) and the Beck Anxiety Inventory (BAI). The DASS was shown to possess satisfactory psychometric properties, and the factor structure was substantiated both by exploratory and confirmatory factor analysis. In comparison to the BDI and BAI, the DASS scales showed greater separation in factor loadings. The DASS Anxiety scale correlated 0.81 with the BAI, and the DASS Depression scale correlated 0.74 with the BDI. Factor analyses suggested that the BDI differs from the DASS Depression scale primarily in that the BDI includes items such as weight loss, insomnia, somatic preoccupation and irritability, which fail to discriminate between depression and other affective states. The factor structure of the combined BDI and BAI items was virtually identical to that reported by Beck for a sample of diagnosed depressed and anxious patients, supporting the view that these clinical states are more severe expressions of the same states that may be discerned in normals. Implications of the results for the conceptualisation of depression, anxiety and tension/stress are considered, and the utility of the DASS scales in discriminating between these constructs is discussed.
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              A general and simple method for obtainingR2from generalized linear mixed-effects models

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: Writing – original draftRole: Writing – review & editing
                Role: SupervisionRole: Writing – review & editing
                Role: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Supervision
                Role: Formal analysisRole: Writing – review & editing
                Role: Formal analysisRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                24 October 2023
                2023
                : 18
                : 10
                : e0288543
                Affiliations
                [1 ] School of Psychology, University of New England, Armidale, New South Wales, Australia
                [2 ] School of Psychology, Newcastle University, Newcastle upon Tyne, Tyne and Wear, England, United Kingdom
                [3 ] Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
                Universite de Lille, FRANCE
                Author notes

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

                Author information
                https://orcid.org/0000-0001-6600-0001
                https://orcid.org/0000-0002-8401-6303
                Article
                PONE-D-22-32865
                10.1371/journal.pone.0288543
                10597527
                37874818
                58ddb419-30d7-449b-a313-cefd9554da0b
                © 2023 Janovsky 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
                : 29 November 2022
                : 27 June 2023
                Page count
                Figures: 4, Tables: 5, Pages: 33
                Funding
                Funded by: Australian Government
                Award ID: Australian Postgraduate Award
                Award Recipient :
                This research has been conducted with the support of the Australian Government Research Training Program Scholarship.
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