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  • The Science of Real-Time Data Capture: Self-reports in health research

    The Science of Real-Time Data Capture by Stone, Arthur; Shiffman, Saul; Atienza, Audie;

    Self-reports in health research

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      • Publisher's listprice GBP 77.00
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    Product details:

    • Publisher OUP USA
    • Date of Publication 3 May 2007

    • ISBN 9780195178715
    • Binding Hardback
    • No. of pages416 pages
    • Size 234x157x27 mm
    • Weight 680 g
    • Language English
    • Illustrations 42 line illustrations
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    Short description:

    The set of techniques known collectively as real-time data capture (RTDC) is becoming increasingly important in medical research. 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.

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    Long description:

    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 people's 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.

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    Table of Contents:

    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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