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Table 3 Intercorrelations of questionnaires used for the validation of the thriver model. Table 4 Descriptive statistics of the scales used for the thriver model. Because the number of positive and negative events were also assessed in Study 2, we checked whether the number of events is important for growth. While the number of negative events showed no significant relations to posttraumatic (r = ?0.01, p = 0.79) or postecstatic growth (r = ?0.04, p = 0.29), the number of positive events was positively associated with postecstatic (r = 0.10, p = 0.01) as well as posttraumatic growth (r = 0.17, p research focuses on the relation between posttraumatic and postecstatic growth, which has not been studied before. The two constructs showed high intercorrelations between r = 0.63 (Indian sample) and r = 0.67 (U.S. sample). This finding supports the hypothesis that posttraumatic and postecstatic growth are highly interrelated and possibly cognate processes. Growth after positive and negative events was significantly correlated with all facilitating variabes included in the thriver model. At the same time, the impact of the most Saracatinib manufacturer severe negative event showed no significant correlation with posttraumatic growth. This result remains stable, also when the most severe traumatizing events were excluded from the sample. Most participants (87.7%) reported that they experienced at least one traumatic event included in the TAA (Cusack et al., 2004). An interesting finding is that participants who experienced a more impactful positive event also reported more posttraumatic growth, but only in the U.S. sample. In general, however, the degree of growth after positive and negative events depends only marginally on the impact of the event. This finding can be taken as hint that a person's capacity for growth seem to be more important than the impact of the event itself. We conclude, therefore, that the experience of a major life event is a nessicity to ignite multi-dimensional growth but the degree of growth seems to depend more on the facilitating factors than on the event itself. The descriptive statistics, displayed in Table ?Table4,4, revealed consistent cross-cultural differences [MANOVA: F(8, 571) = 20.47, p