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      People act extremely toward their amorous partner when they feel insignificant

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          Abstract

          Drawing on significance quest theory, we hypothesized that when people in romantic relationships experience a general feeling of significance loss, they should develop an obsessive passion toward their partner, which in turn should enhance their willingness to act in an extreme manner to maintain their relationship (i.e., their remaining source of significance). To test this hypothesis, we ran two cross‐sectional studies and a longitudinal one. The first operationalized extreme behaviors through self‐sacrifice. The second considered obsessive relational intrusion (ORI) to be an example of extreme behavior. The third study tested whether the consequentiality among variables we considered was that hypothesized and ensured that the hypothesized model remained consistent also while considering the possible overlap between significance loss (i.e., quest for significance) and low self‐esteem. Results confirmed our hypothesis, suggesting that love, amorous relationships, and romantic partners are perceived as fruitful in maintaining or restoring one's personal sense of significance. Notably, this research represents one of the first applications of both the significance quest theory and, secondarily, the theory of motivational imbalance, to the context of romantic relationships.

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          Most cited references61

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          The need to belong: Desire for interpersonal attachments as a fundamental human motivation.

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            Bias in cross-sectional analyses of longitudinal mediation.

            Most empirical tests of mediation utilize cross-sectional data despite the fact that mediation consists of causal processes that unfold over time. The authors considered the possibility that longitudinal mediation might occur under either of two different models of change: (a) an autoregressive model or (b) a random effects model. For both models, the authors demonstrated that cross-sectional approaches to mediation typically generate substantially biased estimates of longitudinal parameters even under the ideal conditions when mediation is complete. In longitudinal models where variable M completely mediates the effect of X on Y, cross-sectional estimates of the direct effect of X on Y, the indirect effect of X on Y through M, and the proportion of the total effect mediated by M are often highly misleading. (c) 2007 APA, all rights reserved.
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              Testing mediational models with longitudinal data: questions and tips in the use of structural equation modeling.

              R. M. Baron and D. A. Kenny (1986; see record 1987-13085-001) provided clarion conceptual and methodological guidelines for testing mediational models with cross-sectional data. Graduating from cross-sectional to longitudinal designs enables researchers to make more rigorous inferences about the causal relations implied by such models. In this transition, misconceptions and erroneous assumptions are the norm. First, we describe some of the questions that arise (and misconceptions that sometimes emerge) in longitudinal tests of mediational models. We also provide a collection of tips for structural equation modeling (SEM) of mediational processes. Finally, we suggest a series of 5 steps when using SEM to test mediational processes in longitudinal designs: testing the measurement model, testing for added components, testing for omitted paths, testing the stationarity assumption, and estimating the mediational effects. ((c) 2003 APA, all rights reserved)
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                Author and article information

                Contributors
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                Journal
                Personal Relationships
                Personal Relationships
                Wiley
                1350-4126
                1475-6811
                May 30 2023
                Affiliations
                [1 ] Department of Social and Developmental Psychology “La Sapienza” University of Rome Rome Italy
                [2 ] UniSR‐Social.Lab Vita‐Salute San Raffaele University Milan Italy
                [3 ] Department of Psychology University of Maryland College Park Maryland USA
                Article
                10.1111/pere.12506
                c8589c38-1a98-4939-8e0f-06187815f962
                © 2023

                http://creativecommons.org/licenses/by/4.0/

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