The set of techniques known collectively as real-time data capture (RTDC) is becoming increasingly important in medical research. Based on the collection of data in peoples typical environments, RTDC is primarily used with self-reported data, such as medical symptoms and psychological states. Now, its guiding principles and supporting technologies also provide a framework for scientists to monitor physiological information such as heart rate, blood pressure, and skin conductance.This volume gives the most complete view yet of the state of RTDC science and its potential for use across the health and behavioural sciences.
Part I: The Science and Theory of Real-Time Data Capture: A Focus on Ecological Momentary Assessment (EMA); Historical Roots and Rationale of Ecological Momentary Assessment (EMA); Retrospective and Concurrent Self-Reports: The Rationale for Real-Time Data Capture; Designing Protocols for Ecological Momentary Assessment; Special Methodological Challenges and Opportunities in Ecological Momentary Assessment; The Analysis of Real-Time Momentary Data: A Practical Guide; Part II: Application of Real-Time Data Capture: Exemplars of Real-Time Data Research; Real-Time Data Capture and Adolescent Cigarette Smoking: Moods and Smoking; Ecological Momentary Assessment of Physical Activity in Hispanics/Latinos Using Pedometers and Diaries; Dietary Assessment and Monitoring in Real-Time; Real-Time Data Capture: Ecological Momentary Assessment of Behavioral Symptoms Associated with Eating Disorders; Ecological Momentary Assessment for Alcohol Consumption; Assessing the Impact of Fibromyalgia Syndrome in Real-Time; Evaluating Fatigue of Ovarian Cancer Patients Using Ecological Momentary Assessment; Personality, Mood States, and Daily Health; Ecological Momentary Assessment as a Resource for Social Epidemiology; Part III: Future Developments in Real-Time Data Capture; Momentary Health Interventions: Where are we and where are we going?; Technological Innovations Enabling Automatic, Context-Sensitive Ecological Momentary Assessment; Statistical Issues in Intensive Longitudinal Data Analysis; Thoughts on the Present State of Real-Tmie Data Capture;
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