Social networking sites, such as Facebook, offer adolescent users an ideal platform for negative comparison (i.e., experiencing negative feelings from social comparison). Although such negative comparison on Facebook has been associated with users' well-being, the reciprocal relations between the two remain unclear, particularly in an adolescent sample. To examine this reciprocal process, a two-wave study among a representative sample of Flemish adolescents was set up (NTime1 = 1,840). Data were analyzed using structural equation Adolescence is characterized by important physical, psychological, and social changes.1 A significant indicator of successful completion of this developmental phase is life satisfaction, 2 which refers to the subjective evaluation of overall quality of life. 3 However, in the transition to adolescence, life satisfaction starts declining. 2 Because of this decline and potential adverse outcomes of poor life satisfaction, including depression and anxiety, 4,5 but also suicide, 6 it is particularly relevant to examine factors contributing to this decrease.One factor that may partly explain decreasing life satisfaction is negative online comparison; studies found an association between negative online comparison and college students' well-being. 7-9 At the same time, though, we may expect, based on cognitive dissonance 10 and selective exposure theory, 11 that life satisfaction also predicts adolescents' tendency for negative online comparison. However, no study thus far examined such reciprocal relations. Therefore, the present two-wave study aims to investigate the reciprocal relations between negative online comparison and adolescents' life satisfaction, hereby adding to prior studies that were mainly cross-sectional 9 or focused on the unidirectional impact of online social comparison. 7,8 We believe it is critical to determine whether negative online comparison and poor life satisfaction are reciprocally related and reinforce one another, given the detrimental outcomes of poor life satisfaction. This study focuses on adolescents, as this age group may be particularly at risk for the impact of negative online comparison, given both their online presence 12 and the decrease of life satisfaction during this developmental period. To examine whether attrition biased our final sample, we examined differences between those who participated in both waves and those who participated in one wave. A multivariate analysis of variance using Pillai's trace revealed significant differences, V = .02,
MeasuresControl Variables. Participants indicated their gender and age. To control for social media use, we assessed, first, respondents' overall SNS use, asking "How often do you visit social networking sites" (7-point Likert Scale; never (= 1) to several times per day (= 7).Second, to assess average daily time on Facebook, we questioned how much time respondents spend, on average, on Facebook on a regular weekday, Wednesday, Friday, and weekend day.Items were rated on a 11-point Likert Scale, ra...