<p>SECTION I: CONCEPTS AND DOMAINS<br>1. The history of dynamic approaches to personality<br>2. Personality processes<br>3. Psychological processes and mechanisms to explain associations between personality traits and outcomes<br>4. Within-person variability<br>5. Personality development processes<br>6. Neurobiology of personality dynamics<br>7. Dynamic genotype-environment interplays in the development of personality differences<br>8. Social Interaction Processes and Personality<br>9. Relationship transactions<br>10. Socio-cultural processes<br>11. Psychopathology and personality functioning<br>12. Motivational and goal processes<br>13. Fates Beyond Traits: The Dynamics and Impacts of Personal Project Pursuit<br>14. Self-regulatory processes<br>15. Dynamic self-processes<br>16. Narratives, identities, and life story processes<br>17. Personality coherence</p> <p>SECTION II: PERSPECTIVES AND THEORIES <br>18. Capturing Interactions, Correlations, Fits, and Transactions: A Person-Environment Relations Model<br>19. Evolutionary perspectives on the mechanistic underpinnings of personality<br>20. Dual-process models of personality<br>21. Whole Trait Theory (WTT)<br>22. Personality architecture and dynamics (KAPA): Theory and evidence<br>23. Toward an adequate theory of personality: Lifespan developmental processes<br>24. Functionalistic perspectives<br>25. Interpersonal Theory and personality processes<br>26. Personality Systems Framework<br>27. PSI Theory</p> <p>SECTION III: METHODS AND STATISTICS <br>28. A framework to study persons, situations, behavior, and time<br>29. Digital media technologies in the assessment of personality dynamics<br>30. Experience Sampling and Daily Diary Studies: Basic Concepts, Designs, and Challenges<br>31. Modeling developmental processes<br>32. Intensive longitudinal measurement<br>33. Multilevel Structural Equation Modeling for Intensive Longitudinal Data: A Practical Guide for Personality Researchers<br>34. Hierarchical continuous time modeling<br>35. Multi-method multi-occasion modeling<br>36. Dyadic data-analysis (e.g., longitudinal SRM, APIM)<br>37. Dynamic Structural Equation Modeling of personality data <br>38. Identifying the dynamics of individual variation in personality<br>39. Network analysis of dynamic personality data<br>40. Neural networks and virtual personalities</p> <p>SECTION IV: APPLICATIONS <br>41. Personality processes at the workplace <br>42. Within-person variability and job performance<br>43. Process Perspectives on Leader Traits, Behaviors, and Leadership Situations<br>44. Personnel selection<br>45. Growth and positive psychology<br>46. Morality<br>47. Stress<br>48. Well-being<br>49. Health processes in personality<br>50. Dynamics and processes in personality change interventions<br>51. PSI Theory Applications</p>
