Measuring and Modeling Persons and Situations
eBook - ePub

Measuring and Modeling Persons and Situations

  1. 732 pages
  2. English
  3. ePUB (mobile friendly)
  4. Only available on web
eBook - ePub

Measuring and Modeling Persons and Situations

Book details
Table of contents
Citations

About This Book

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

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Yes, you can access Measuring and Modeling Persons and Situations by Dustin Wood,Stephen J. Read,P.D. Harms,Andrew Slaughter in PDF and/or ePUB format, as well as other popular books in Psychology & Applied Psychology. We have over one million books available in our catalogue for you to explore.

Information

Year
2021
ISBN
9780128192016

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Contributors
  6. Chapter 1: A role for information theory in personality modeling, assessment, and judgment
  7. Chapter 2: What falls outside of the Big Five? Darkness, derailers, and beyond
  8. Chapter 3: Semantic and ontological structures of psychological attributes
  9. Chapter 4: Ubiquitous computing for person-environment research: Opportunities, considerations, and future directions
  10. Chapter 5: Modeling the mind: Assessment of if … then … profiles as a window to shared psychological processes and individual differences
  11. Chapter 6: Psychological targeting in the age of Big Data
  12. Chapter 7: Virtual environments for the representative assessment of personality: VE-RAP
  13. Chapter 8: Improving measurement of individual differences using social networks
  14. Chapter 9: Situational judgment tests: From low-fidelity simulations to alternative measures of personality and the person-situation interplay
  15. Chapter 10: Intra-individual variability in personality: A methodological review
  16. Chapter 11: Modeling the dynamics of action
  17. Chapter 12: Conceptualizing and measuring the implicit personality: The state of the science
  18. Chapter 13: Conceptualizing and measuring the psychological situation
  19. Chapter 14: Network approaches to representing and understanding personality dynamics
  20. Chapter 15: Neural network models of personality structure and dynamics
  21. Chapter 16: Interdependence approaches to the person and the situation
  22. Chapter 17: Formally representing how psychological processes shape actions and one another using functional fields
  23. Chapter 18: Integrating Cybernetic Big Five Theory with the free energy principle: A new strategy for modeling personalities as complex systems
  24. Chapter 19: Computational models of appraisal to understand the person-situation relation
  25. Chapter 20: An economic approach to modeling personality
  26. Index