How can large-scale, real-time, and real-world data on people’s behaviors, interactions, and environments improve psychological measurement, or lead to customized psychological interventions? Written expressly for social and behavioral scientists, this cutting-edge handbook describes the key concepts and tools of mobile sensing and explains how to plan and conduct a mobile sensing study. Renowned experts address the whats, whys, and how-tos of collecting "big data" using smartphones and other wearables, and explore which research questions can best be addressed with these tools. Modern statistical methods for analyzing mobile sensing data are described; for example, dynamic structural equation modeling, network modeling, and machine learning, including deep neural networks. The book includes best-practice research examples of applications in clinical psychology, aging, neuroscience, health, emotions, relationships, personality, the workplace, and other areas. Key methodological challenges and ethical/privacy issues are highlighted throughout.
* Renowned experts from diverse fields provide a comprehensive resource for planning mobile sensing studies that meet sound methodological and ethical standards.
* The first mobile sensing book for social science researchers that combines conceptual foundations, technological how-tos, and data analysis strategies.
* Intriguing potential: analyzing large-scale, real-world data on peoples behaviors and environments can lead to customized treatments.
* Includes best-practice examples from 12 areas of application, such as health, aging, and personality, organizational, and clinical psychology.