The Handbook of Personality Dynamics and Processes

John Rauthmann is trained and experienced in personality psychology, and has published numerous articles in the field’s top journals. He is currently the editor-in-chief of Personality Science (a new open-access online journal).

SECTION I: CONCEPTS AND DOMAINS 1. The history of dynamic approaches to personality 2. Personality processes 3. Psychological processes and mechanisms to explain associations between personality traits and outcomes 4. Within-person variability 5. Personality development processes 6. Neurobiology of personality dynamics 7. Dynamic genotype-environment interplays in the development of personality differences 8. Social Interaction Processes and Personality 9. Relationship transactions 10. Socio-cultural processes 11. Psychopathology and personality functioning 12. Motivational and goal processes 13. Fates Beyond Traits:  The Dynamics and Impacts of Personal Project Pursuit 14. Self-regulatory processes 15. Dynamic self-processes 16. Narratives, identities, and life story processes 17. Personality coherence

SECTION II: PERSPECTIVES AND THEORIES 18. Capturing Interactions, Correlations, Fits, and Transactions: A Person-Environment Relations Model 19. Evolutionary perspectives on the mechanistic underpinnings of personality 20. Dual-process models of personality 21. Whole Trait Theory (WTT) 22. Personality architecture and dynamics (KAPA): Theory and evidence 23. Toward an adequate theory of personality: Lifespan developmental processes 24. Functionalistic perspectives 25. Interpersonal Theory and personality processes 26. Personality Systems Framework 27. PSI Theory

SECTION III: METHODS AND STATISTICS 28. A framework to study persons, situations, behavior, and time 29. Digital media technologies in the assessment of personality dynamics 30. Experience Sampling and Daily Diary Studies: Basic Concepts, Designs, and Challenges 31. Modeling developmental processes 32. Intensive longitudinal measurement 33. Multilevel Structural Equation Modeling for Intensive Longitudinal Data:  A Practical Guide for Personality Researchers 34. Hierarchical continuous time modeling 35. Multi-method multi-occasion modeling 36. Dyadic data-analysis (e.g., longitudinal SRM, APIM) 37. Dynamic Structural Equation Modeling of personality data 38. Identifying the dynamics of individual variation in personality 39. Network analysis of dynamic personality data 40. Neural networks and virtual personalities

SECTION IV: APPLICATIONS 41. Personality processes at the workplace 42. Within-person variability and job performance 43. Process Perspectives on Leader Traits, Behaviors, and Leadership Situations 44. Personnel selection 45. Growth and positive psychology 46. Morality 47. Stress 48. Well-being 49. Health processes in personality 50. Dynamics and processes in personality change interventions 51. PSI Theory Applications