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Measuring and Modeling Persons and Situations
Captures emerging technologies to prove new insights into fundamental personality phenomena in certain situations
Dustin Wood (Edited by), Stephen J. Read (Edited by), P.D. Harms (Edited by), Andrew Slaughter (Edited by)
9780128192009, Elsevier Science
Paperback, published 24 June 2021
732 pages
22.9 x 15.2 x 4.4 cm, 1.16 kg
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.
Preface Dustin Wood 1. A role for information theory in personality modeling, assessment, and judgment David M. Condon and Rene Mõttus 2. What falls outside of the Big Five? Darkness, derailers, and beyond P.D. Harms and Ryne Sherman 3. Semantic and ontological structures of psychological attributes Jan Ketil Arnulf and Kai Larsen 4. Ubiquitous Computing for Person-Environment Research: Opportunities, Considerations, & Future Directions Sumer S. Vaid, Saeed Abdullah, Edison Thomaz and Gabriella Harari 5. Modeling the mind: Assessment of if…then… profiles as a window to shared and idiosyncratic psychological processes Vivian Zayas, Randy T. Lee and Yuichi Shoda 6. Psychological Targeting in the Age of Big Data Ruth Elisabeth Appel and Sandra Matz 7. Virtual Environments for the Representative Assessment of Personality: VE-RAP Lynn Carol Miller, David C. Jeong and John Christensen 8. Improving measurement of individual differences using social networks Andrew J. Slaughter and Janie Yu 9. Situational Judgment Tests: From Low-fidelity Simulations to Alternative Measures of Personality and the Person-Situation Interplay Filip Lievens, Philipp Schäpers and Christoph Nils Herde 10. Intra-Individual Variability in Personality: A Methodological Review Alisha Marie Ness, Kira Foley and Eric Heggestad 11. Modeling the dynamics of action Ashley D. Brown and William Revelle 12. Conceptualizing and measuring the implicit personality Amanda Moeller, Ben Johnson, Ken Levy and James LeBreton 13. Conceptualizing and measuring the psychological situation John Rauthmann 14. Network Approaches to Representing and Understanding Psychological Dynamics Emorie D. Beck and Joshua Jackson 15. Neural Network Models of Personality Structure and Dynamics Stephen J. Read 16. Interdependence approaches to the person and situation Fabiola Heike Gerpott, Isabel Thielman and Daniel Balliet 17. Formally Representing How Psychological Processes Shape Actions and One Another Using Functional Fields Dustin Wood 18. Integrating Cybernetic Big Five Theory with the Free Energy Principle: A new strategy for modeling personalities as complex systems Adam Safron and Colin DeYoung 19. COMPUTATIONAL MODELS OF APPRAISAL TO UNDERSTAND THE PERSON-SITUATION RELATION Nutchanon Yongsatianchot and Stacy Marsella 20. An economic approach to modelling personality Lex Borghans and Trudie Schils
Subject Areas: Geopolitics [JPSL], Educational psychology [JNC], The self, ego, identity, personality [JMS], Cognition & cognitive psychology [JMR], Physiological & neuro-psychology, biopsychology [JMM], Experimental psychology [JML], Social, group or collective psychology [JMH], Child & developmental psychology [JMC], Cognitive science [GTR]
