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.

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Yes, you can access Mobile Sensing in Psychology by Matthias R. Mehl, Michael Eid, Cornelia Wrzus, Gabriella M. Harari, Ulrich W. Ebner-Priemer in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Information

Publisher

The Guilford Press

Year

2023

ISBN

9781462553112

Topic

Social Sciences

Subtopic

Social Science Research & Methodology

Index

Social Sciences

Cover
Half Title Page
Title Page
Copyright
Foreword
Preface
Contents
I. Mobile Sensing: Background and Key Concepts
II. Mobile Sensors: Technological Know-How and Methodical How-To
III. Analysis of Mobile Sensing Data
IV. Mobile Sensing Applications in Psychological Science
V. Conclusions and Future Directions
Author Index
Subject Index
About the Editors
Contributors