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Deborah Klink (s1811150), Bachelor thesis 13 Figure 1. Example of a page in MySocialBook.com using Instagram. Data analysis The statistical analyses were conducted using the statistical software IBM SPSS Statistics (25.0). Firstly, to answer the first and second research questions, namely whether there exists a difference in emotions between pre- and post-test and whether there exists a difference in affect between the two conditions (Facebook vs Instagram), the respective variables were analysed. Therefore, a mixed-design ANOVA was conducted with time (pre-test, post-test) as a within-subjects factor and social media platform (Facebook, Instagram) as between-subjects factor and the Positive Affect Scale (PAS) as the dependent variable. Secondly, a mixed ANOVA was conducted with time (pre-measurement, post-measurement) as a within-subjects factor and social media platform (Facebook, Instagram) as between-subjects factor and the Negative Affect Scale (NAS) as the dependent variable. The assumptions of a normal distribution and homogeneity were tested beforehand. The assumption of normality was violated for the Facebook condition for the pre-test of the PAS and the post-test of the NAS. Moreover, the assumption of normality was violated for the pre-test of the PAS in the Instagram condition. No measures were taken, as simulation studies showed that mixed ANOVAS are relatively robust against violations of normality (Glass, Peckham, & Sanders, 1972). Furthermore, there was homogeneity of the error variances, as assessed by Levene’s test (p > .05). Significant effects of the mixed ANOVA were further tested using a two-tailed paired-sample t-test to establish the nature of the difference (Payne, 2013) Afterwards, the third research question, namely whether there exists a difference in the extent people identify with the automatically generated autobiography, was answered using a two-tailed independent samples t-test. A significance level of α < .05 was used for all analyses.PDF Image | Facebook and Instagram emotions identification automatically generated autobiography
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