Portal de Periódicos da CAPES

Handbook of research methods for studying daily life

2012; Association of College and Research Libraries; Volume: 50; Issue: 02 Linguagem: Inglês

10.5860/choice.50-1159

1943-5975

Matthias R. Mehl, Tamlin S. Conner,

Digital Mental Health Interventions

Part 1. Theoretical Background. H.T. Reis, Why Researchers Should Think A Conceptual Rationale. N. Schwarz, Why Researchers Should Think Time: A Cognitive Rationale. E.L. Hamaker, Why Researchers Should Think Within Person: A Paradigmatic Rationale. P. Wilhelm, M. Perrez, K. Pawlik, Conducting Research in Daily Life: A Historical Review. Part 2. Study Design Considerations and Methods of Data Collection. T.S. Conner, B.J. Lehman, Getting Started: Launching a Study in Daily Life. W.D. Barta, H. Tennen, M.D. Litt, S. Armeli, Measurement Reactivity in Diary Research. T. Kubiak, K. Krog, Computerized Sampling of Experience and Behavior. K.C. Gunthert, S.J. Wenze, Daily Diary Methods. D.S. Moskowitz, G. Sadikaj, Event-Contingent Recording. M.R. Mehl, M.L. Robbins, Naturalistic Observation Sampling: The Electronically Activated Recorder (EAR). W. Schlotz, Ambulatory Psychoneuroendocrinology: Assessing Salivary Cortisol and Other Hormones in Daily Life. F.H. Wilhelm, P. Grossman, M.I. Muller, Bridging the Gap between the Laboratory and the Real World: Integrative Ambulatory Psychophysiology. J.B.J. Bussmann, U.W. Ebner-Priemer, Ambulatory Assessment of Movement Behavior: Methodology, Measurement, and Application. M.S. Goodwin, Passive Telemetric Monitoring: Novel Methods for Real-World Behavioral Assessment. S.S. Intille, Emerging Technology for Studying Daily Life. Part 3. Data-Analytic Methods. N. Bolger, G. Stadler, J.P. Laurenceau, Power Analysis for Intensive Longitudinal Studies. P.E. Shrout, S.P. Lane, Psychometrics. K.O. McCabe, L. Mack, W. Fleeson, A Guide for Data Cleaning in Experience Sampling Studies. A.C. Black, O. Harel, G. Matthews, Techniques for Analyzing Intensive Longitudinal Data with Missing Values. J.B. Nezlek, Multilevel Modeling Analysis of Diary-Style Data. M. Eid, D.S. Courvoisier, T. Lischetzke, Structural Equation Modeling of Ambulatory Assessment Data. J.P. Laurenceau, N. Bolger, Analyzing Diary and Intensive Longitudinal Data from Dyads. U.W. Ebner-Priemer, T.J. Trull, Investigating Temporal Instability in Psychological Variables: Understanding the Real World as Time Dependent. P.R. Deboeck, Modeling Nonlinear Dynamics in Intraindividual Variability. A. Brose, N. Ram, Within-Person Factor Analysis: Modeling How the Individual Fluctuates and Changes across Time. N.A. Card, Multilevel Mediational Analysis in the Study of Daily Lives. Part 4. Research Applications: Perspectives from the Different Fields. A.A. Augustine, R.J. Larsen, Emotion Research. S.L. Gable, C.L. Gosnell, T. Prok, Close Relationships. W. Fleeson, E.E. Noftle, Personality Research. W. Tov, C.N. Scollon, Cross-Cultural Research. J.L. Kurtz, S. Lyubomirsky, Positive Psychology. J.M. Smyth, K.E. Heron, Health Psychology. J.M. Hektner, Developmental Psychology. D.J. Beal, Industrial/Organizational Psychology. T.J. Trull, U.W. Ebner-Priemer, W.C. Brown, R.L. Tomko, E.M. Scheiderer, Clinical Psychology. I. Myin-Germeys, Psychiatry.