Measuring and Modeling Persons and Situations presents major innovations and contributions on the topic, promoting deeper integration, cross-pollination of ideas across diverse academic disciplines, and the facilitation of the development of practical applications such as matching people to jobs, understanding decision making, and predicting how a group of individuals will interact with one another. The book is organized around two overarching and interrelated themes, with the first focusing on assessing the person and the situation, covering methodological advances and techniques for inferring and measuring characteristics, and showing how they can be instantiated for measurement and predictive purposes.
The book's second theme presents theoretical models, conceptualizing how factors of the person and situation can help us understand the psychological dynamics which underlie behavior, the psychological experience of fit or congruence with one's environment, and changes in personality traits over time.
- Identifies technologies for measuring and predicting behavior
- Infers behavior causes from personality and/or situational variables
- Utilizes big data, machine learning and modeling to understand behavior
- Includes mobile phone, social media and wearable tech usage analysis
- Explores the stability of personality over time
- Considers behavior analysis to treat maladaptive behavior
2. Assessing many and more molecular personality traits
3. What falls outside of the Big Five? Darkness, derailers, and beyond
4. Semantic and ontological structures of psychological attributes
5. Utilizing behavioral residue from mobile devices
6. Utilizing personality cues from Big Data resources
7. Operationalizing the Cognitive Affective Personality System (CAPS) and other psychological parameters
8. Effectiveness of psychological targeting
9. Game-based testing
10. Inferring personality from social network data
11. Utilizing situational judgment tasks for personality assessment
12. Methods for assessing intra-individual variability in personality
13. Connecting cybernetic/goal models to major personality dimensions
14. Agent-based models of social decision-making
15. Network models of personality and psychopathology
16. Neural network models of psychological processes and behavior
17. Modeling the dynamics of action
18. Conceptualizing and measuring the implicit personality
19. Conceptualizing and measuring the psychological situation
20. Transactive goal dynamics and interdependence approaches
21. Functional fields and functional approaches
22. Integrating economic and personality approaches to understanding behavior and life outcomes
23. Self-regulatory models of personality development
Dr. Dustin Wood has served as Personality Processes Section Editor at Social Psychology and Personality Compass, and is currently co-editing a joint special issue of European Journal of Personality and European Journal of Psychological Assessment on the topic of "New approaches towards conceptualizing and assessing personality.
Dr. Stephen Read has co-edited three books (Explaining one's self to others, Erlbaum, 1992; Connectionist models of social reasoning and social behavior, Erlbaum, 1998; Computational Social Psychology, Psychology Press, in press).
Dr. Peter Harms is an Associate Editor at Journal of Managerial Psychology and Research in Occupational Stress and Well-Being and has co-edited a special issue of Applied Psychology: An International Review.
Dr. Andrew Slaughter is a senior research psychologist at the US Army Research Institute. His work focuses on quantitative methods for social science research and program evaluation.