To test our hypothesis that variability in psychological need satisfaction and individual differences in well-being related to social media engagement insofar as they were linked to higher levels of FoMO, we evaluated three mediation models following the boot- strapping approach outlined by Preacher and Hayes (2008). Controlling for participant age and gender, results indicated three total effects relating need satisfaction ,b=_.12,p<.001,general mood, b=_.09,p<.00,and life satisfaction ,b=_.06,p<.01,tosocial media engagement were in evidence (the C path inFig.2). Likewise, levels of FoMO were predicted by participant standing on need satisfaction, b=_.25,p<.001, mood, b=_.20,p<.001,and life satisfaction ,b=_.17,p<.001 (the A path). Across all three mediation models results FoMO was robustly associated with social media engagement, b=.40,p<.001 (B path).Analyses indicated three significant in direct effects linking individual differences in need satisfaction , mood, and life satisfaction to social media engagement byway of FoMO (the A_B path). Across the three models, this indirect path accounted for an average of 19.39%ofvariability (R 2) in social media engagement. The 95%confidenceintervals for these paths, based on10,000 resamples, ranged from _0.65 to_1.00 for need satisfaction,_.57 to_.99 for mood, and _.36 to_.61 for life satisfaction . Finally, the models showed the direct effects linking need satisfaction ,b=.003,p=.89,general mood, b=_.001,p=.98,and life satisfaction, b=.013,p=.51,tosocial media engagement were no longer significant when FoMO was considered (the C 0path). Taken together, these results indicate that FoMO served a same diating factor that explained the relations that linked individual differences in need satisfaction and well-being to social media use.
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