Abstract
This chapter introduces in chronological order the three main measurement methods—the Flow Questionnaire, the Experience Sampling Method, and the standardized scales of the componential approach—that researchers developed and used in conducting research on the flow state. Each measurement method and underlying conceptualization is explained, and its strengths and limitations are then discussed in relation to the other measurement methods and associated conceptualizations. The analysis reveals that, although the concept of flow remained stable since its inception, the models of flow that researchers developed in conjunction with the measurement methods changed substantially over time. Moreover, the findings obtained by applying the various measurement methods led to corroborations and disconfirmations of the underlying models, and hence provided indications on how to interpret and possibly modify flow theory. The chapter then analyzes the emerging process approach, which conceptualizes and measures flow as a dynamic path rather than an object, and highlights its potential for integrating flow and creativity within the same conceptual framework. The final section outlines new directions for developing more valid and useful measurement methods that can help to advance the understanding of flow, its antecedents, and its consequences.
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Notes
- 1.
The separation of quotes was suggested by Antonella Delle Fave in 1997 (personal communication).
References
Asakawa, K. (2004). Flow experience and autotelic personality in Japanese college students: How do they experience challenges in daily life? Journal of Happiness Studies, 5, 123–154.
Atkinson, J. W. (1957). Motivational determinants of risk-taking behavior. Psychological Review, 64, 359–372.
Bakker, A. B. (2008). The work-related flow inventory: Construction and initial validation of the WOLF. Journal of Vocational Behavior, 72, 400–414.
Baumann, N., Lürig, C., & Engeser, S. (2016). Flow and enjoyment beyond skill-demand balance: The role of game pacing curves and personality. Motivation and Emotion, 40(4), 507–519.
Beer, N., & Moneta, G. B. (2010). Construct and concurrent validity of the positive metacognitions and positive meta-emotions questionnaire. Personality and Individual Differences, 49, 977–982.
Bledow, R., Rosing, K., & Frese, M. (2013). A dynamic perspective on affect and creativity. Academy of Management Journal, 56, 432–450.
Bricteux, C., Navarro, J., & Ceja, L. (2016). Interest as a moderator in the relationship between challenge/skills balance and flow at work: An analysis at within-individual level. Journal of Happiness Studies, 18, 861–880.
Bryk, A., & Raudenbush, S. W. (1992). Hierarchical linear models: Applications and data analysis methods. Newbury Park, CA: Sage.
Carli, M., Delle Fave, A., & Massimini, F. (1988). The quality of experience in the flow channels: Comparison of Italian and U.S. students. In M. Csikszentmihalyi & I. S. Csikszentmihalyi (Eds.), Optimal experience: Psychological studies of flow in consciousness (pp. 266–306). New York: Cambridge University Press.
Ceja, L., & Navarro, J. (2009). Dynamics of flow: A nonlinear perspective. Journal of Happiness Studies, 10, 665–684.
Ceja, L., & Navarro, J. (2011). Dynamic patterns of flow in the workplace: Characterizing within-individual variability using a complexity science approach. Journal of Organizational Behavior, 32, 627–651.
Ceja, L., & Navarro, J. (2012). ‘Suddenly I get into the zone’: Examining discontinuities and nonlinear changes in flow experiences at work. Human Relations, 65, 1101–1127.
Conti, R. (2001). Time flies: Investigating the connection between intrinsic motivation and the experience of time. Journal of Personality, 69, 1–26.
Csikszentmihalyi, M. (1975/2000). Beyond boredom and anxiety: Experiencing flow in work and play (1/2). San Francisco: Jossey Bass.
Csikszentmihalyi, M. (1978). Attention and the holistic approach to behavior. In K. S. Pope & J. L. Singer (Eds.), The stream of consciousness (pp. 335–356). New York: Plenum Press.
Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. New York: Harper & Row.
Csikszentmihalyi, M. (1997a). Finding flow: The psychology of engagement with everyday life. New York: Basic Books.
Csikszentmihalyi, M. (1997b). Creativity: Flow and the psychology of discovery and invention. New York: Harper Perennial.
Csikszentmihalyi, M., Abuhamdeh, S., & Nakamura, J. (2005). Flow. In A. J. Elliot & C. S. Dweck (Eds.), Handbook of competence and motivation (pp. 598–608). New York: Guilford.
Csikszentmihalyi, M., & Csikszentmihalyi, I. (1988). Optimal experience: Psychological studies of flow in consciousness. Cambridge: Cambridge University Press.
Csikszentmihalyi, M., & Larson, R. W. (1984). Being adolescent. New York: Basic Books.
Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the experience-sampling method. The Journal of Nervous and Mental Disease, 175, 526–536.
Csikszentmihalyi, M., Larson, R., & Prescott, S. (1977). The ecology of adolescent activity and experience. Journal of Youth and Adolescence, 6, 281–294.
Csikszentmihalyi, M., & LeFevre, J. (1989). Optimal experience in work and leisure. Journal of Personality and Social Psychology, 56, 815–822.
Davis, G. A. (2004). Creativity is forever (5th ed.). Dubuque, IA: Kendall/Hunt.
Delle Fave, A., & Bassi, M. (2000). The quality of experience in adolescents’ daily life: Developmental perspectives. Genetic, Social, and General Psychology Monographs, 126, 347–367.
Delle Fave, A., & Massimini, F. (2004). The cross-cultural investigation of optimal experience. Ricerche di Psicologia, 1, 79–102.
Delle Fave, A., & Massimini, F. (2005). The investigation of optimal experience and apathy: Developmental and psychosocial implications. European Psychologist, 10, 264–274.
Ellis, G. D., Voelkl, J. E., & Morris, C. (1994). Measurements and analysis issues with explanation of variance in daily experience using the Flow model. Journal of Leisure Research, 26, 337–356.
Engeser, S., & Rheinberg, F. (2008). Flow, moderators of challenge-skill-balance and performance. Motivation and Emotion, 32, 158–172.
Feldman, D. H., Csikszentmihalyi, M., & Gardner, H. (1994). Changing the world: A framework for the study of creativity. Westport, CT: Praeger.
Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive developmental inquiry. American Psychologist, 34, 906–911.
Fu, F. L., Su, R. C., & Yu, S. C. (2009). EGameFlow: A scale to measure learners’ enjoyment of e-learning games. Computers and Education, 52, 101–112.
Fullagar, C., & Kelloway, E. K. (2013). Work-related flow. In A. B. Bakker & K. Daniels (Eds.), A day in the life of a happy worker (pp. 41–57). New York: Psychology Press.
Getzels, J. W., & Csikszentmihalyi, M. (1975). From problem solving to problem finding. In I. A. Taylor & J. W. Getzels (Eds.), Perspectives in creativity (pp. 90–116). Chicago: Aldine.
Getzels, J. W., & Csikszentmihalyi, M. (1976). The creative vision: A longitudinal study of problem finding in art. New York: Wiley.
Ghani, J., & Deshpande, S. P. (1994). Task characteristics and the experience of optimal flow in human-computer interaction. The Journal of Psychology, 128, 381–391.
Goldstein, H. (1995). Multilevel statistical models. New York: Halsted.
Haworth, J., & Evans, S. (1995). Challenge, skill and positive subjective states in the daily life of a sample of YTS students. Journal of Occupational and Organizational Psychology, 68, 109–121.
Hektner, J., Schmidt, J., & Csikszentmihalyi, M. (2007). Experience sampling method. Measuring the quality of everyday life. Thousand Oaks, CA: Sage.
Heutte, J., Fenouillet, F., Boniwell, I., Martin-Krumm, C., Csikszentmihalyi, M., (2014). Optimal learning experience in digital environments: Theoretical concepts, measure and modelisation. Symposium Digital Learning in 21st Century Universities, Georgia Institute of Technology (Georgia Tech), Atlanta, GA.
Heutte, J., Fenouillet, F., Boniwell, I., Martin-Krumm, C., & Csikszentmihalyi, M. (2016a). The EduFlow model: A contribution toward the study of optimal learning environments. In L. Harmat, F. Ørsted Andersen, F. Ullén, J. Wright, & G. Sadlo (Eds.), The flow experience: Empirical research and applications (pp. 105–123). New York: Springer.
Heutte, J., Fenouillet, F., Boniwell, I., Martin-Krumm, C., & Csikszentmihalyi, M., (2016b). Proposal for a conceptual evolution of the flow in education (EduFlow) model. European Conference on Positive Psychology (ECPP), Angers, France.
Hoffman, D. L., & Novak, T. P. (2009). Flow online: Lessons learned and future prospects. Journal of Interactive Marketing, 23, 23–34.
Jackson, S. A., & Marsh, H. W. (1996). Development and validation of a scale to measure optimal experience: The flow state scale. Journal of Sport & Experience Psychology, 18, 17–35.
Jackson, S. A., & Csikszentmihalyi, M. (1999). Flow in sports: The keys to optimal experiences and performances. Champaign, IL: Human Kinetics.
Jackson, S. A., & Eklund, R. C. (2002). Assessing flow in physical activity: The flow state scale-2 and dispositional flow scale-2. Journal of Sport and Exercise Psychology, 24, 133–150.
Jackson, S. A., & Eklund, R. C. (2004). The flow scale manual. Morgantown, WV: Fitness Information Technology, Inc.
Kahneman, D., Krueger, A. B., Schkade, D. A., Schwarz, N., & Stone, A. (2004). A survey method for characterizing daily life experience: The day reconstruction method. Science, 306, 1776–1780.
Kawabata, M., Mallett, C. J., & Jackson, S. A. (2008). The flow state scale-2 and dispositional flow scale-2: Examination of factorial validity and reliability for Japanese adults. Psychology of Sport and Exercise, 9, 465–485.
Keller, J., & Bless, H. (2008). Flow and regulatory compatibility: An experimental approach to the flow model of intrinsic motivation. Personality and Social Psychology Bulletin, 34, 196–209.
Larson, R., & Delespaul, P. A. E. G. (1992). Analysing experience sampling data: A guidebook for the perplexed. In M. deVries (Ed.), The experience of psychopathology: Investigating mental disorders in their natural settings (pp. 58–78). Cambridge: Cambridge University Press.
Maslow, A. (1964). Religions, values and peak-experiences. Columbus, OH: Ohio State University Press.
Massimini, F., & Carli, M. (1988). The systematic assessment of flow in daily experience. In M. Csikszentmihalyi & I. S. Csikszentmihalyi (Eds.), Optimal experience: Psychological studies of flow in consciousness (pp. 266–287). New York: Cambridge University Press.
Massimini, F., Csikszentmihalyi, M., & Carli, M. (1987). The monitoring of optimal experience: A tool for psychiatric rehabilitation. The Journal of Nervous and Mental Diseases, 175, 545–549.
Mathews, A., Yiend, J., & Lawrence, A. D. (2004). Individual differences in the modulation of fear-related brain activation by attentional control. Journal of Cognitive Neuroscience, 16, 1683–1694.
Moneta, G. B. (1990). A modeling approach to the study of subjective experience: Everyday life variations as a function of perceived challenges and skills in the activity. Unpublished doctoral dissertation, University of Chicago.
Moneta, G. B. (2004a). The flow experience across cultures. Journal of Happiness Studies, 5, 115–121.
Moneta, G. B. (2004b). The flow model of state intrinsic motivation in Chinese: Cultural and personal moderators. Journal of Happiness Studies, 2, 181–217.
Moneta, G. B. (2010). Flow in work as a function of trait intrinsic motivation, opportunity for creativity in the job, and work engagement. In S. Albrecht (Ed.), The handbook of employee engagement: Perspectives, issues, research and practice (pp. 262–269). Edward-Elgar Publishing House.
Moneta, G. B. (2012). Opportunity for creativity in the job as a moderator of the relation between trait intrinsic motivation and flow in work. Motivation and Emotion, 36, 491–503.
Moneta, G. B. (2017). Validation of the short flow in work scale (SFWS). Personality and Individual Differences, 109, 83–88.
Moneta, G. B., & Csikszentmihalyi, M. (1996). The effect of perceived challenges and skills on the quality of subjective experience. Journal of Personality, 64, 275–310.
Moneta, G. B., & Csikszentmihalyi, M. (1999). Models of concentration in natural environments: A comparative approach based on streams of experiential data. Social Behavior and Personality, 27, 603–637.
Mosing, M. A., Magnusson, P. K. E., Pedersen, N. L., Nakamura, J., Madison, G., & Ullén, F. (2012). Heritability of proneness for psychological flow experiences. Personality and Individual Differences, 53, 699–704.
Navarro, J., & Ceja, L. (2011). Dinámicas complejas en el flujo: Diferencias entre trabajo y no trabajo [Complex dynamics of flow: Differences between work and non-work activities]. Revista de Psicología Social, 26, 443–456.
Novak, T. P., Hoffman, D. L., & Yung, Y. F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19, 22–44.
Palermo, G., & Moneta, G. B. (2016). Cognitive processes underlying creativity at work. In G. B. Moneta & J. Rogaten (Eds.), Psychology of creativity: Cognitive, emotional, and social processes (pp. 21–48). New York: Nova Science.
Pfister, R. (2002). Flow im Alltag: Untersuchungen zum Quadrantenmodell des Flow-Erlebens und zum Konzept der autotelischen Perso ¨nlichkeit mit der Experience Sampling Method (ESM) [Flow in everyday life: Studies on the quadrant model of flow experiencing and on the concept of the autotelic personality with the experience sampling method (ESM)]. Bern: Peter Lang.
Privette, G. (1983). Peak experience, peak performance, and flow: A comparative analysis of positive human experiences. Journal of Personality and Social Psychology, 6, 1361–1368.
Rheinberg, F. (2008). Intrinsic motivation and flow-experience. In H. Heckhausen & J. Heckhausen (Eds.), Motivation and action (pp. 323–348). Cambridge: Cambridge University Press.
Rheinberg, F., Manig, Y., Kliegl, R., Engeser, S., & Vollmeyer, R. (2007). Flow bei der Arbeit, doch Glück in der Freizeit: Zielausrichtung, Flow und Glücksgefühle [Flow during work but happiness during leisure time: goals, flow-experience, and happiness]. Zeitschrift für Organisationspsychologie, 51, 105–115.
Richards, R., Kinney, D. K., Benet, M., & Merzel, A. P. (1988). Assessing everyday creativity: Characteristics of the lifetime creativity scales and validation with three large samples. Journal of Personality and Social Psychology, 54, 476–485.
Runco, M. A. (1995). Insight for creativity, expression for impact. Creativity Research Journal, 8, 377–390.
Schaufeli, W. B., Salanova, M., González-Romá, V., & Bakker, A. (2002). The Measurement of burnout and engagement: A confirmatory factor analytic approach. Journal of Happiness Studies, 3, 71–92.
Schiefele, U., & Raabe, A. (2011). Skill-demands compatibility as a determinant of flow experience in an inductive reasoning task. Psychological Reports, 109, 428–444.
Schüler, J. (2010). Achievement incentives determine the effects of achievement-motive incongruence on flow experience. Motivation und Emotion, 34, 2–14.
Swann, C., Keegan, R. J., Piggott, D., & Crust, L. (2012). A systematic review of the experience, occurrence, and controllability of flow states in elite sport. Psychology of Sport and Exercise, 13, 807–819.
Wilson, E. E., & Moneta, G. B. (2016). The flow metacognitions questionnaire (FMQ): A two factor model of flow metacognitions. Personality and Individual Differences, 90, 225–230.
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Moneta, G.B. (2021). On the Conceptualization and Measurement of Flow. In: Peifer, C., Engeser, S. (eds) Advances in Flow Research. Springer, Cham. https://doi.org/10.1007/978-3-030-53468-4_2
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