Definition
Daily diary methodology is a set of assessment methods that allow researchers to study individuals’ experiences, behavior, and circumstances in natural settings, in or close to real time, and on repeated measurement occasions over a defined period (ranging from a few days to months). Semantically, the term “daily diary methodology” implies a once-per-day assessment approach. Often, however, the term is used in a wider sense to include methods assessing individuals at multiple times per day (also called “experience sampling”; Hektner, Schmidt, & Csikszentmihalyi, 2007). Moreover, the term “daily diary methodology” implies the use of some kind of diary (paper and pencil or electronic) and is thereby constrained to self-report data. In recent years, however, the scope of intensive repeated measurements in naturalistic settings has broadened to include also nonself-reported...
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References
Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579–616.
Conner, T., Barrett, L. F., Bliss-Moreau, E., Lebo, K., & Kaschub, C. (2003). A practical guide to experience-sampling procedures. Journal of Happiness Studies, 4, 53–78.
Conner, T. S., & Lehman, B. J. (2012). Getting started: Launching a study in daily life. In M. R. Mehl & T. S. Conner (Eds.), Handbook of research methods for studying daily life (pp. 89–107). New York: Guilford.
Crayen, C., Eid, M., Lischetzke, T., Courvoisier, D. S., & Vermunt, J. K. (2012). Exploring dynamics in mood regulation—Mixture latent Markov modeling of ambulatory assessment data. Psychosomatic Medicine, 74, 366–376.
Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the experience-sampling method. The Journal of Nervous and Mental Disease, 175, 526–536.
Ebner-Priemer, U. W., & Trull, T. J. (2012). Investigating temporal instability in psychological variables: Understanding the real world as time dependent. In M. R. Mehl & T. S. Conner (Eds.), Handbook of research methods for studying daily life (pp. 423–439). New York: Guilford.
Eid, M., Courvoisier, D., & Lischetzke, T. (2012). Structural equation modeling of ambulatory assessment data. In M. R. Mehl & T. S. Conner (Eds.), Handbook of research methods for studying daily life (pp. 384–406). New York: Guilford.
Enders, C. K., & Tofighi, D. (2007). Centering predictor variables in cross-sectional multilevel models: A new look at an old issue. Psychological Methods, 12, 121–138.
Gunthert, K. C., & Wenze, S. J. (2012). Daily diary methods. In M. R. Mehl & T. S. Conner (Eds.), Handbook of research methods for studying daily life (pp. 144–159). New York: Guilford.
Hamaker, E. L. (2012). Why researchers should think “within-person”: A paradigmatic rationale. In M. R. Mehl & T. S. Conner (Eds.), Handbook of research methods for studying daily life (pp. 43–61). New York: Guilford.
Hektner, J. M., Schmidt, J. A., & Csikszentmihalyi, M. (2007). Experience sampling method: Measuring the quality of everyday life. Thousand Oaks, CA: Sage.
Hox, J. J. (2010). Multilevel analysis: Techniques and applications (2nd ed.). New York: Routledge.
Kahneman, D. (1999). Objective happiness. In D. Kahneman, E. Diener, & N. Schwarz (Eds.), Well-being: The foundations of hedonic psychology (pp. 3–25). New York: Russell Sage.
Mehl, M. R., & Conner, T. S. (Eds.). (2012). Handbook of research methods for studying daily life. New York: Guilford.
Moskowitz, D. S., & Sadikaj, G. (2012). Event-contingent recording. In M. R. Mehl & T. S. Conner (Eds.), Handbook of research methods for studying daily life (pp. 160–175). New York: Guilford.
Nezlek, J. B. (2012). Multilevel modeling analyses of diary-style data. In M. R. Mehl & T. S. Conner (Eds.), Handbook of research methods for studying daily life (pp. 357–383). New York: Guilford.
Reis, H. T. (2012). Why researchers should think “real-world”: A conceptual rationale. In M. R. Mehl & T. S. Conner (Eds.), Handbook of research methods for studying daily life (pp. 3–21). New York: Guilford.
Robinson, M. D., & Clore, G. L. (2002). Belief and feeling: Evidence for an accessibility model of emotional self-report. Psychological Bulletin, 128, 934–960.
Schwarz, N. (2012). Why researchers should think “real-time”: A cognitive rationale. In M. R. Mehl & T. S. Conner (Eds.), Handbook of research methods for studying daily life (pp. 22–42). New York: Guilford.
Scollon, C. N., Kim-Prieto, C., & Diener, E. (2003). Experience sampling: Promises and pitfalls, strengths and weaknesses. Journal of Happiness Studies, 4, 5–34.
Singer, J. D., & Willett, J. B. (2003). Applied longitudinal data analysis. Modeling change and event occurrence. New York: Oxford University Press.
Snijders, T., & Bosker, R. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling (2nd ed.). London: Sage.
Wirtz, D., Kruger, J., Scollon, C. N., & Diener, E. (2003). What to do on spring break? The role of predicted, on-line, and remembered experience in future choice. Psychological Science, 14, 520–524.
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Lischetzke, T. (2014). Daily Diary Methodology. In: Michalos, A.C. (eds) Encyclopedia of Quality of Life and Well-Being Research. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0753-5_657
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DOI: https://doi.org/10.1007/978-94-007-0753-5_657
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