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Sommario
Foreword,
Mihaly CsikszentmihalyiI. Theoretical Background 1. Why Researchers Should Think "Real-World": A Conceptual Rationale,
Harry T. Reis 2. Why Researchers Should Think "Real-Time": A Cognitive Rationale,
Norbert Schwarz 3. Why Researchers Should Think "Within-Person": A Paradigmatic Rationale,
Ellen L. Hamaker 4. Conducting Research in Daily Life: A Historical Review,
Peter Wilhelm, Meinrad Perrez, and
Kurt Pawlik II. Study Design Considerations and Methods of Data Collection 5. Getting Started: Launching a Study in Daily Life,
Tamlin S. Conner and
Barbara J. Lehman 6. Measurement Reactivity in Diary Research,
William D. Barta, Howard Tennen, and
Mark D. Litt7. Computerized Sampling of Experience and Behavior,
Thomas Kubiak and
Katharina Krog 8. Daily Diary Methods,
Kathleen C. Gunthert and
Susan J. Wenze 9. Event-Contingent Recording,
D. S. Moskowitz and
Gentiana Sadikaj 10. Naturalistic Observation Sampling: The Electronically Activated Recorder (EAR),
Matthias R. Mehl and
Megan L. Robbins 11. Ambulatory Psychoneuroendocrinology: Assessing Salivary Cortisol and Other Hormones in Daily Life,
Wolff Schlotz 12. Bridging the Gap between the Laboratory and the Real World: Integrative Ambulatory Psychophysiology,
Frank H. Wilhelm, Paul Grossman, and
Maren I. Müller 13. Ambulatory Assessment of Movement Behavior: Methodology, Measurement, and Application,
Johannes B. J. Bussmann and
Ulrich W. Ebner-Priemer 14. Passive Telemetric Monitoring: Novel Methods for Real-World Behavioral Assessment,
Matthew S. Goodwin 15. Emerging Technology for Studying Daily Life,
Stephen S. Intille III. Data-Analytic Methods 16. Power Analysis for Intensive Longitudinal Studies,
Niall Bolger, Gertraud Stadler, and
Jean-Philippe Laurenceau 17. Psychometrics,
Patrick E. Shrout and
Sean P. Lane 18. A Guide for Data Cleaning in Experience Sampling Studies,
Kira O. McCabe, Lori Mack, and
William Fleeson 19. Techniques for Analyzing Intensive Longitudinal Data with Missing Values,
Anne C. Black, Ofer Harel, and
Gregory Matthews 20. Multilevel Modeling Analyses of Diary-Style Data,
John B. Nezlek 21. Structural Equation Modeling of Ambulatory Assessment Data,
Michael Eid, Delphine S. Courvoisier, and
Tanja Lischetzke 22. Analyzing Diary and Intensive Longitudinal Data from Dyads,
Jean-Philippe Laurenceau and
Niall Bolger 23. Investigating Temporal Instability in Psychological Variables: Understanding the Real World as Time Dependent,
Ulrich W. Ebner-Priemer and
Timothy J. Trull 24. Modeling Nonlinear Dynamics in Intraindividual Variability,
Pascal R. Deboeck 25. Within-Person Factor Analysis: Modeling How the Individual Fluctuates and Changes across Time,
Annette Brose and
Nilam Ram 26. Multilevel Mediational Analysis in the Study of Daily Lives,
Noel A. Card IV. Research Applications: Perspectives from Different Fields 27. Emotion Research,
Adam A. Augustine and
Randy J. Larsen 28. Close Relationships,
Shelly L. Gable, Courtney L. Gosnell, and
Thery Prok 29. Personality Research,
William Fleeson and
Erik E. Noftle 30. Cross-Cultural Research,
William Tov and
Christie Napa Scollon 31. Positive Psychology,
Jaime L. Kurtz and
Sonja Lyubomirsky 32. Health Psychology,
Joshua M. Smyth and
Kristin E. Heron 33. Developmental Psychology,
Joel M. Hektner 34. Industrial/Organizational Psychology,
Daniel J. Beal 35. Clinical Psychology,
Timothy J. Trull, Ulrich W. Ebner-Priemer, Whitney C. Brown, Rachel L. Tomko, and
Emily M. Scheiderer 36. Psychiatry,
Inez Myin-Germeys
Info autore
Matthias R. Mehl, PhD, is Associate Professor of Psychology at the University of Arizona. He received his doctorate in social and personality psychology from the University of Texas at Austin. Over the last decade, he developed the electronically activated recorder (EAR) as a novel methodology for the unobtrusive naturalistic observation of daily life. He has given workshops and published numerous articles on novel methods for studying daily life. Dr. Mehl is a founding member and the current Vice President of the Society for Ambulatory Assessment.
Tamlin S. Conner, PhD, is Assistant Professor of Psychology at the University of Otago in New Zealand. She received her doctorate in social psychology from Boston College and completed postdoctoral training in health and personality psychology at the University of Connecticut Health Center. She has published numerous articles on the theory and practice of experience sampling; is a leading expert on ambulatory self-report techniques; and conducts research on well-being, emotions, and the science of self-report. Dr. Conner is a founding member and current executive committee member of the Society for Ambulatory Assessment.
