case_images: PMC11166232_01
case_images: The process of open, axial, and selective coding illustrated using the example category of "perceived pattern stability".
case_images: fpsyg-15-1259610-g001.jpg
case_images: PMC11166232_01_fpsyg-15-1259610-g001.jpg
case_images: fig1
case_images: The PTDA indicated a pattern transition at day 65 with a probability of 0.74 (Figure 1, also marked in Figure 3 by the vertical magenta line).
case_images: Case 1 (Stefan): A combined visualization of dynamic complexity patterns and the categories as identified by coding the diaries. Upper part: Complexity Resonance Diagram across all items related to the seven factors of the TPQ: "Well-being and positive emotions" (WPE), "Relationship with fellow patients" (RFP), "Therapeutic alliance and clinical setting" (TAS), "Emotional and problem intensity" (EPI), "insight/confidence/therapeutic progress" (ICP), "motivation for change" (MOT), and "mindfulness/self-care" (MSC). Gray pixels: The z-transformed complexity values exceed the 5% threshold of the confidence interval. Black pixels: The z-transformed complexity values exceed the 1% threshold of the confidence interval. The histogram on top of the diagram sums up all gray and black pixels. The pattern transition as it was identified by the PTDA is marked by the vertical magenta line. Lower part: Categories (resp. subcategories) as identified by the diary text analysis (comp. Figure 2). No diary entries are marked by white frames.
case_images: fpsyg-15-1259610-g003.jpg
case_images: PMC11166232_01_fpsyg-15-1259610-g003.jpg
case_images: fig3
case_images: The PTDA indicated a pattern transition at day 65 with a probability of 0.74 (Figure 1, also marked in Figure 3 by the vertical magenta line). Figure 3 combines results from quantitative and qualitative data analysis. Although there was an increased level of dynamic complexity during the period from day 59 to 65, this could not be distinguished from chance by surrogate data testing (gray bar at the bottom of Figure 3).
case_images: The pattern transition detection algorithm (PTDA) applied to the time series (factors of the TPQ) of case 1. Yellow color coding in the blue band represents the area with the highest probability of a pattern transition.
case_images: fpsyg-15-1259610-g005.jpg
case_images: PMC11166232_01_fpsyg-15-1259610-g005.jpg
case_images: fig5
case_images: A period of transformation started on day 43 (Figure 5). The quantitative data clearly show a phase transition to the better in almost all items and factors of the TPQ (Figure 5).
case_images: PMC11166232_02
case_images: Case 2 (Martin): A combined visualization of dynamic complexity patterns and the categories as identified by coding the diaries. Upper part: Complexity Resonance Diagram across all items related to the seven factors of the TPQ: "Well-being and positive emotions" (WPE), "Relationship with fellow patients" (RFP), "Therapeutic alliance and clinical setting" (TAS), "Emotional and problem intensity" (EPI), "insight/confidence/therapeutic progress" (ICP), "motivation for change" (MOT), and "mindfulness/self-care" (MSC). Gray pixels: The z-transformed complexity values exceed the 5% threshold of the confidence interval. Black pixels: The z-transformed complexity values exceed the 1% threshold of the confidence interval. The histogram on top of the diagram sums up all gray and black pixels. The pattern transition as it was identified by the PTDA is marked by the vertical magenta line. Lower part: Categories (resp. subcategories) as identified by the diary text analysis (comp. Figure 2). No diary entries are marked by white frames.
case_images: fpsyg-15-1259610-g004.jpg
case_images: PMC11166232_02_fpsyg-15-1259610-g004.jpg
case_images: fig4
case_images: The quantitative analysis of the DC yielded significant critical instability (p < 0.001) from days 1 to 16 (Figure 4). Quantitative analysis of dynamic complexity revealed significant critical instability (p < 0.001) during days 82 to 91 (Figure 4).
case_images: The pattern transition detection algorithm (PTDA) applied to the time series (factors of the TPQ) of case 2. Yellow color coding in the blue band represents the area with the highest probability of a pattern transition.
case_images: fpsyg-15-1259610-g006.jpg
case_images: PMC11166232_02_fpsyg-15-1259610-g006.jpg
case_images: fig6
case_images: The time series data reveal a phase transition detected by the PTDA 1 day after this phase of noticing a Kairos moment, at day 64 (prob. = 0.46, Figure 6).