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      How social media usage affects psychological and subjective well-being: testing a moderated mediation model

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          Abstract

          Background

          A growing body of literature demonstrates that social media usage has witnessed a rapid increase in higher education and is almost ubiquitous among young people. The underlying mechanisms as to how social media usage by university students affects their well-being are unclear. Moreover, current research has produced conflicting evidence concerning the potential effects of social media on individuals' overall well-being with some reporting negative outcomes while others revealing beneficial results.

          Methods

          To address the research gap, the present research made an attempt to investigate the crucial role of social media in affecting students’ psychological (PWB) and subjective well-being (SWB) by testing the mediating role of self-esteem and online social support and the moderation effect of cyberbullying. The data in the study were obtained from a sample of 1,004 college students (483 females and 521 males, M age = 23.78, SD = 4.06) enrolled at 135 Chinese universities. AMOS 26.0 and SPSS 26.0 as well as the Process macro were utilized for analyzing data and testing the moderated mediation model.

          Results

          Findings revealed that social media usage by university students was positively associated with their PWB and SWB through self-esteem and online social support, and cyberbullying played a moderating role in the first phase of the mediation process such that the indirect associations were weak with cyberbullying reaching high levels.

          Conclusion

          These findings highlight the importance of discerning the mechanisms moderating the mediated paths linking social media usage by young adults to their PWB and SWB. The results also underline the importance of implementing measures and interventions to alleviate the detrimental impacts of cyberbullying on young adults’ PWB and SWB.

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          Most cited references127

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          Self-efficacy: Toward a unifying theory of behavioral change.

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            Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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              Sources of method bias in social science research and recommendations on how to control it.

              Despite the concern that has been expressed about potential method biases, and the pervasiveness of research settings with the potential to produce them, there is disagreement about whether they really are a problem for researchers in the behavioral sciences. Therefore, the purpose of this review is to explore the current state of knowledge about method biases. First, we explore the meaning of the terms "method" and "method bias" and then we examine whether method biases influence all measures equally. Next, we review the evidence of the effects that method biases have on individual measures and on the covariation between different constructs. Following this, we evaluate the procedural and statistical remedies that have been used to control method biases and provide recommendations for minimizing method bias.
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                Author and article information

                Contributors
                tlj-danielcooper@stu.xjtu.edu.cn
                Journal
                BMC Psychol
                BMC Psychol
                BMC Psychology
                BioMed Central (London )
                2050-7283
                22 September 2023
                22 September 2023
                2023
                : 11
                : 286
                Affiliations
                [1 ]School of Foreign Studies, Xi’an Jiaotong University, ( https://ror.org/017zhmm22) No. 28 Xianning West Road, Beilin District, Xi’an, 710049 Shaanxi Province China
                [2 ]Educational Studies, Universiti Sains Malaysia, ( https://ror.org/02rgb2k63) Bangunan D02, 11800 Gelugor City, Penang Island Malaysia
                Article
                1311
                10.1186/s40359-023-01311-2
                10515432
                37737198
                0d2f5bcc-b676-4ea6-a70a-167f56e9c0eb
                © BioMed Central Ltd., part of Springer Nature 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 14 July 2023
                : 5 September 2023
                Categories
                Research
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                © BioMed Central Ltd., part of Springer Nature 2023

                social media,cyberbullying,self-esteem,online social support,psychological well-being,subjective well-being,moderated mediation

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