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      Assessing the validity of self-report social media use: Evidence of No relationship with objective smartphone use

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      Computers in Human Behavior
      Elsevier BV

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          A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents

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            #Sleepyteens: Social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem.

            This study examined how social media use related to sleep quality, self-esteem, anxiety and depression in 467 Scottish adolescents. We measured overall social media use, nighttime-specific social media use, emotional investment in social media, sleep quality, self-esteem and levels of anxiety and depression. Adolescents who used social media more - both overall and at night - and those who were more emotionally invested in social media experienced poorer sleep quality, lower self-esteem and higher levels of anxiety and depression. Nighttime-specific social media use predicted poorer sleep quality after controlling for anxiety, depression and self-esteem. These findings contribute to the growing body of evidence that social media use is related to various aspects of wellbeing in adolescents. In addition, our results indicate that nighttime-specific social media use and emotional investment in social media are two important factors that merit further investigation in relation to adolescent sleep and wellbeing.
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              The JASP guidelines for conducting and reporting a Bayesian analysis

              Despite the increasing popularity of Bayesian inference in empirical research, few practical guidelines provide detailed recommendations for how to apply Bayesian procedures and interpret the results. Here we offer specific guidelines for four different stages of Bayesian statistical reasoning in a research setting: planning the analysis, executing the analysis, interpreting the results, and reporting the results. The guidelines for each stage are illustrated with a running example. Although the guidelines are geared towards analyses performed with the open-source statistical software JASP, most guidelines extend to Bayesian inference in general.
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                Author and article information

                Contributors
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                Journal
                Computers in Human Behavior
                Computers in Human Behavior
                Elsevier BV
                07475632
                March 2023
                March 2023
                : 140
                : 107567
                Article
                10.1016/j.chb.2022.107567
                abb08c00-c6ef-40da-9f08-e862a9814316
                © 2023

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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