144 Chapter 6 Figure 5 Combined graph of the participant’s self-reported challenging behavioral patterns, transition-points, dynamic complexity, and extraordinary events. Note. Panel A shows the raw data of self-reported physical aggression and self-injury. Gray cells are missing data. Panel B and C reflect the dynamic complexity of both challenging behaviors. High values reflect unstable patterns, whereas low dynamic complexity reflects stability during the 7 prior days. The horizontal red lines mark the significance threshold for each variable; dynamic complexity values above the lines indicate statistical significance (α = 0.05). Orange, yellow, blue, and green background colors are attractor states. Panel D and E reflect pinpointed positive and negative extraordinary events that were identified as such in the daily records. 3.3 Change-mechanisms Figure 5 shows the occurrence of challenging behaviors (panel A), the (in)stability of self-reported patterns in urges for challenging behaviors (panel B and C), and extraordinary events (panel D and E) on the 560-day timeline1. Each point on the graphs in panel B and C reflects how unstable (i.e., irregular and erratic) the fluctuations of self-rated urges for challenging behaviors were in the previous 7 days. Low values indicate stable patterns, whereas high dynamic complexity values are indicative of temporal instability. Everyday events are extremely plentiful, making them impractical to pinpoint on a timeline. Extraordinary events, however, were derived from thematic analysis results. We considered 1 In Figure 5 we present the dynamic complexity of the most relevant two variables for these challenging behaviors. For completeness sake, we present raw data of all seven self-rated variables and their (average) dynamic complexity in Appendix E. Visualizations of the 11 staff-hypothesized risk- and protective factors, in combination with challenging behaviors and instability are accessible through https://hulsmans.shinyapps.io/themes/
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