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Abstract

Performance time productivity estimates for 102 classical composers are reported. For each composer, the grand total and totals within several musical genres (e.g., symphonies, concerti, operas) are provided, which are used to generate a measure of composer versatility, or the extent to which each composer's output spans multiple genres. Estimated durations of lost works for each composer are also summarized. Descriptive results identify the most prolific composers in the overall sample and within each genre. Illustrative correlational analyses revealed reliable overall associations between average annual productivity, eminence and composer birth year; versatility was related only to birth year. However, composers in different periods of musical history (Baroque/Classical, Romantic and 20th century) showed different patterns of correlations between the variables, with 20th-century composers showing no reliable correlations at all. Implications and suggestions for incorporating the reported productivity estimates into multi-level statistical analyses of composers' lifespan creative productivity are discussed.

Keywords

creative productivity creativity eminence historiometry

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References

Ash, R. (2003). Top ten of everything 2003. New York: Dorling Kindersley.

Barlow, H. , & Morgenstern, S. (1948). A dictionary of musical themes. New York: Crown.

Barlow, H. , & Morgenstern, S. (1950). A dictionary of opera and song themes. New York: Crown.

Chwiałkowski, J. (1996). The Da Capo catalog of classical music compositions . New York: Da Capo.

Farnsworth, P.R. (1969). The social psychology of music (2nd edn). Ames, IA: Iowa State University Press.

Frensch, P.A. , & Sternberg, R.J. (1989). Expertise and intelligent thinking: When is it worse to know better? In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (Vol. 5; pp. 157-188). Hillsdale, NJ: Erlbaum.

Galenson, D.W. (2001). Painting outside the lines. Cambridge, MA: Harvard University Press.

Galenson, D.W. (2005). Old masters and young geniuses. Princeton, NJ: Princeton University Press.

Gini, C. (1921). Measurement of inequality of incomes. The Economic Journal, 31, 124-126.

10.

Gini, C. (1955/1912). Variabilità e mutabilità. In E. Pizetti and T. Salvemini (Eds.), Memorie di metodologica statistica. Rome: Libreria Eredi Virgilio Veschi. English translation in Metron 63(1), 3-38.

11.

Grout, D.J. (2001). A history of western music (6th edn). New York: Norton.

12.

Halsey, R.S. (1976). Classical music recordings for home and library . Chicago: American Library Association .

13.

Kozbelt, A. (2004). Reexamining the equal-odds rule in classical composers . In J. P. Frois , P. Andrade , and J. F. Marques (Eds.), Art and science: Proceedings of the XVIII Congress of the International Association of Empirical Aesthetics (pp. 540-543). Lisbon: IAEA.

14.

Kozbelt, A. (2005). Factors affecting aesthetic success and improvement in creativity: A case study of the musical genres of Mozart. Psychology of Music, 33(3), 235-255.

15.

Machlis, J. (1979). Introduction to contemporary music (2nd edn). New York: Norton.

16.

Martindale, C. (1990). The clockwork muse. New York : BasicBooks.

17.

Moles, A. (1966/1958). Information theory and esthetic perception (trans. J. E. Cohen). Urbana, IL: University of Illinois Press.

18.

Murray, C. (2003). Human accomplishment. New York : HarperCollins.

19.

Petrov, V.M. , & Danilova, O.N. (2004). Creativity in music: Cerebral hemisphericity, stylistic preference, and `greatness', in J. P. Frois , P. Andrade , and J. F. Marques (Eds.), Art and science: Proceedings of the XVIII Congress of the International Association of Empirical Aesthetics (pp. 532-535). Lisbon: IAEA.

20.

Raudenbusch, S.W. , & Bryk, A.S. (2002). Hierarchical linear models: Application and data analysis methods (2nd edn). Thousand Oaks, CA: Sage.

21.

Simonton, D.K. (1977a). Creative productivity, age, and stress: A biographical time-series analysis of 10 classical composers. Journal of Personality and Social Psychology, 35(11), 791-804.

22.

Simonton, D.K. (1977b). Eminence, creativity, and geographic marginality: A recursive structural equation model. Journal of Personality and Social Psychology, 35(11), 805-816.

23.

Simonton, D.K. (1980). Thematic fame, melodic originality, and musical zeitgeist: A biographical and transhistorical content analysis. Journal of Personality and Social Psychology, 38(6), 972-983.

24.

Simonton, D.K. (1984). Melodic structure and note transition probabilities: A content analysis of 15,618 classical themes. Psychology of Music, 12(1), 3-16.

25.

Simonton, D.K. (1986). Aesthetic success in classical music: A computer analysis of 1,935 compositions. Empirical Studies of the Arts , 4(1), 1-17.

26.

Simonton, D.K. (1991). Emergence and realization of genius: The lives and works of 120 classical composers. Journal of Personality and Social Psychology, 61(5), 829-840.

27.

Simonton, D.K. (1994). Greatness: Who makes history and why. New York: Guilford.

28.

Simonton, D.K. (1997). Creative productivity: A predictive and explanatory model of career landmarks and trajectories. Psychological Review, 104(1), 66-89.

29.

Simonton, D.K. (2000). Creative development as acquired expertise: Theoretical issues and an empirical test. Developmental Review, 20(2), 283-318.

30.

Sulloway, F.J. (1996). Born to rebel. New York: Pantheon.

31.

Zickar, M.J. , & Slaughter, J.E. (1999). Examining creative performance over time using hierarchical linear modeling: An illustration using film directors . Human Performance, 12(3-4), 211-230.

Performance time productivity and versatility estimates for 102 classical composers

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