Measuring and Modeling Persons and Situations

Dustin Wood

ISBN 10: 0128192003 / ISBN 13: 9780128192009

Published by Elsevier Science & Technology, Academic Press, 2021

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9780128192009

Bibliographic Details

• Title: Measuring and Modeling Persons and Situations
• Publisher: Elsevier Science & Technology, Academic Press
• Publication Date: 2021
• Language: English
• ISBN 10: 0128192003
• ISBN 13: 9780128192009
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 152H x 33D millimeters 229 millimeters width by 152 millimeters height by 33 millimeters depth
• Weight: 1160 grams

About this title

Synopsis

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

About the Authors

Dr. Dustin Wood has served as Personality Processes Section Editor at Social Psychology and Personality Compass, and as a guest editor to the 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.