Measuring and Modeling Persons and Situations

Dustin Wood, Stephen J. Read, P.D. Harms, Andrew Slaughter

• Publisher: Academic Press
• Year: 2021
• Print ISBN: 9780128192009
• eBook ISBN: 9780128192016
• Topic: Psychology
• Subtopic: Applied Psychology
• Index: Psychology

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

Table of contents

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