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      Do People From Different Cultures Vary in How Much Positive Emotions Resonate in Day-to-Day Social Interactions? Examining the Role of Relational Mobility

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          Abstract

          Positivity resonance, defined as a co-experienced kind-hearted positive emotion, is commonly observed to strengthen relationships in the United States. However, it is unclear whether levels of positivity resonance differ across cultures. Prior research suggests that in cultures that are perceived as offering more freedom and choice in social ties (defined as high relational mobility cultures), individuals more frequently engage in adaptive strategies to build relationships. We hypothesized that positivity resonance, achieved via such adaptive strategies, might be similarly linked to cultural variation in relational mobility. Across two studies ( N = 5,711) we found supportive evidence for our prediction that, compared with European American participants, East Asian participants showed lower levels of positivity resonance with strong social ties. Such differences were in part explained by lower levels of perceived relational mobility among East Asian participants. Comparable effects were not present for weak social ties. Implications for theories of culture and emotion are discussed.

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          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
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            Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

            G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
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              The Strength of Weak Ties

                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
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                Journal
                Journal of Cross-Cultural Psychology
                Journal of Cross-Cultural Psychology
                SAGE Publications
                0022-0221
                1552-5422
                June 2024
                March 18 2024
                June 2024
                : 55
                : 4
                : 347-367
                Affiliations
                [1 ]The University of North Carolina at Chapel Hill, USA
                [2 ]Seoul National University, Republic of Korea
                [3 ]Kwansei Gakuin University, Nishinomiya, Japan
                [4 ]Duke University, Durham, NC, USA
                Article
                10.1177/00220221241235926
                917dd94f-e7b8-4395-b71c-96a8cd9b0584
                © 2024

                https://creativecommons.org/licenses/by-nc/4.0/

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