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Using the Curriculum Vita to Study the Career Paths of Scientists and Engineers: An Exploratory Assessment

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In this paper we assess the utility of the curriculum vita (CV) as a data source for examining the career paths of scientists and engineers. CVs were obtained in response to an email message sent to researchers working in the areas of biotechnology and microelectronics. In addition, a number of CVs were obtained "passively" from a search of the Internet. We discuss the methodological issues and problems of this data collection strategy and the results from an exploratory analysis using OLS regression and event history analysis. In sum, despite difficulties with coding and variation in CV formats, this collection strategy seems to us to hold much promise.

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References

  1. B. Bozeman, J. S. Dietz, M. Gaughan, Scientific and technical human capital: An alternative model for research evaluation, International Journal of Technology Management (forthcoming).

  2. J. S. Dietz, Building a social capital model of research development: The case of the experimental program to stimulate competitive research, Science and Public Policy, 27 (2000) 137-145.

    Google Scholar 

  3. J. D. Rogers, B. Bozeman, Knowledge value alliances: An alternative to R&D project evaluation, (in submission).

  4. J. Mincer, Investment in human capital and personal income distribution, Journal of Political Economy. (1958) Aug.

  5. G. Becker, Investment in human capital: A theoretical analysis, Journal of Political Economics, 70 (1962) No. 5, S9-S49.

    Google Scholar 

  6. T. W. Schultz, The Economic Value of Education, Columbia University Press, New York, 1963.

    Google Scholar 

  7. M. Polanyi, The Tacit Dimension, Cox & Wyman, London, 1967.

    Google Scholar 

  8. M. Polanyi, The Logic of Tacit Inference. Knowing And Being, Routledge & Kegan Paul, London, 1969.

    Google Scholar 

  9. P. Bourdieu, The forms of social capital, In J. G. Richardson (Ed.), Handbook of Theory and Research for the Sociology of Education, Greenwood, New York, 1986.

    Google Scholar 

  10. P. Bourdieu, L. Wacquant, An Invitation to Reflexive Sociology, University of Chicago Press, Chicago, 1992.

    Google Scholar 

  11. J. C. Coleman, Social capital in the creation human capital, American Journal of Sociology, 94 (1988) S95-S120.

    Google Scholar 

  12. J. C. Coleman, Foundations of Social Theory. The Belknap Press of Harvard University Press, Cambridge, 1990.

    Google Scholar 

  13. B. Bozeman, J. D. Rogers, J. S. Dietz, J. Park, The Research Value Mapping Project: Qualitative — Quantitative Case Studies of Research Projects Funded by the Office of Basic Energy Sciences, Final Project Report to the US Department of Energy, (1999) rvm.pp.gatech.edu.

  14. E. M. Rogers, Diffusion of Innovations. Fourth Ed., The Free Press, New York, 1995.

    Google Scholar 

  15. P. E. Stephan, S. G. Levin, The critical importance of careers in collaborative scientific research. Revue d'Economie Industrielle, 79 (1997) 45-61.

    Google Scholar 

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

    Google Scholar 

  17. A. M. Diamond, An economic model of the life-cycle research productivity of scientists, Scientometrics, 6 (1984) 189-196.

    Google Scholar 

  18. A. M. Diamond, The life-cycle research productivity of mathematicians and scientists, Journal of Gerontology, 41 (1986) 520-525.

    Google Scholar 

  19. G. Becker, Human Capital: A Theoretical and Empirical Analysis, with a Special Reference to Education, University of Chicago Press, Chicago, 1964.

    Google Scholar 

  20. S. G. Levin, P. E. Stephan, Research productivity over the life cycle: Evidence for academic scientists, American Economic Review, 81 (1991) 114-132.

    Google Scholar 

  21. P. E. Stephan, The economics of science, Journal of Economic Literature, 34 (1996) 1199-1235.

    Google Scholar 

  22. J. S. Long, R. McGinnis, The effects of the mentor on the academic career, Scientometrics, 7 (1985) 255-280.

    Google Scholar 

  23. B. F. Reskin, Scientific productivity and the reward structure of science, American Sociological Review, 42 (1977) 491-504.

    Google Scholar 

  24. H. A. Zuckerman, The Scientific Elite, Free Press, New York, 1977.

    Google Scholar 

  25. R. K. Merton, On the Shoulders of Giants: A Shandean Postscript, University of Chicago Press, Chicago, 1993.

    Google Scholar 

  26. G. H. Elder Jr., Time, human agency, and social change: Perspectives on the life course, Social Psychology Quarterly, 57 (1994) 4-15.

    Google Scholar 

  27. J. S. Long, P. Allison, R. McGinnis, Rank advancement in academic careers: Sex differences and the effects of productivity, American Sociological Review, 58 (1993) 703-722.

    Google Scholar 

  28. L. Gomez-Mejia, D. Balkin, Determinants of faculty pay: An agency theory perspective, Academy of Management Journal, 35 (1992) 921-955.

    Google Scholar 

  29. J. Heinsler, R. Rosenfeld, Charting academic careers, Social Studies of Science, 17 (1987) 135-144.

    Google Scholar 

  30. S. Bonzi, Trends in research productivity among senior faculty, Information Processing & Management, 28 (1992) 111-120.

    Google Scholar 

  31. F. J. Fowler, Survey Research Methods, revised edition, Sage, Newbury Park, 1988.

    Google Scholar 

  32. R. A. Singleton, Jr., B. Straits, M. Straits, Approaches to Social Research, Second Ed., Oxford University Press, New York, 1993.

    Google Scholar 

  33. G. Bohrnstedt, D. Knoke, Statistics for Social Data Analysis, Second Ed., F.E. Peacock, Itasca, IL, 1988.

    Google Scholar 

  34. E. Babbie, The Practice of Social Research, Sixth Ed., Belmont, Wadsworth Publishing, CA, 1992.

    Google Scholar 

  35. S. Lawrence, C.L. Giles, Accessibility of information on the Web, Nature, 400 (1999) 107, for a discussion of internet searches and noise levels.

    Google Scholar 

  36. W. Scott, Reliability of content analysis: The case of nominal scale coding, Public Opinion Quarterly, 19 (1955) 321-325.

    Google Scholar 

  37. R. Craig, Generalization of Scott's index of intercoder agreement, Public Opinion Quarterly, 45 (1981) 260-264.

    Google Scholar 

  38. G. Funkhouser, E. Parker, Analyzing coding reliability: The random-systematic-error coefficient, Public Opinion Quarterly, 32 (1968) 122-128.

    Google Scholar 

  39. J. Fleiss, Measuring nominal scale agreement among many raters, Psychological Bulletin, 76 (1971) 378-382.

    Google Scholar 

  40. J. Landis, G. Koch, The measurement of observer agreement for categorical data, Biometrics, 33 (1977) 159-174.

    Google Scholar 

  41. K. Crittenden, R. Hill, Coding reliability and validity of interview data, American Sociological Review, 36 (1971) 1073-1080.

    Google Scholar 

  42. A. Montgomery, K. Crittenden, Improving coding reliability for open-ended questions, Public Opinion Quarterly, 41 (1977) 235-243.

    Google Scholar 

  43. G. Carroll, Dynamic analysis of discrete dependent variables, Quality and Quantity, 17 (1983) 425-460.

    Google Scholar 

  44. N. Tuma, M. Hannan, Social Dynamics, Academic Press, Orlando, FL, 1984.

    Google Scholar 

  45. H. Blossfeld, A. Hamerle, K. Mayer, Event History Analysis, Lawrence Erlbaum Associates, Hillsdale, NJ, 1989.

    Google Scholar 

  46. K. Yamaguchi, Event History Analysis, Sage, Newbury Park, CA, 1991.

    Google Scholar 

  47. J. Cole, S. Cole, Social Stratification in Science, University of Chicago Press, Chicago, 1973.

    Google Scholar 

  48. S. Cole, Age and scientific performance, American Journal of Sociology, 84 (1979) 958-977.

    Google Scholar 

  49. J. Hurlbert, R. Rosenfeld, Getting a good job: Rank and institutional prestige in academic psychologists' careers, Sociology of Education, 65 (1992) 188-207.

    Google Scholar 

  50. H. Zuckerman, R. K. Merton, Age, aging, and age structure in science, In: R. K. Merton (Ed.), The Sociology of Science: Theoretical and Empirical Investigations, University of Chicago Press, Chicago, 1973, pp. 497-559.

    Google Scholar 

  51. J. Cole, H. Zuckerman, The productivity puzzle: Persistence and change in patterns of publication of men and women scientists, Advances in Motivation and Achievement, 2 (1984) 217-258.

    Google Scholar 

  52. M. Fox, C. Faver, Men, women, and publication productivity: Patterns among social work academics, The Sociological Quarterly, 26 (1985) 537-549.

    Google Scholar 

  53. M. Fox, Women and scientific careers, In: S. Jasanoff, G. Markle, J. Petersen, T. Pinch, (Eds), Handbook of Science and Technology Studies, Sage, Thousand Oaks, CA, 1995, pp. 205-223.

    Google Scholar 

  54. J. S. Long, M. F. Fox, Scientific careers: Universalism and particularism, Annual Review of Sociology, 21 (1995) 45-71.

    Google Scholar 

  55. Y. Xie, K. Shauman, Sex differences in research productivity: New evidence about an old puzzle, American Sociological Review, 63 (1998) 847-870.

    Google Scholar 

  56. L. Hargens, W. Hagstrom, Scientific consensus and academic status attainment patterns, Sociology of Education, 55 (1982) 183-196.

    Google Scholar 

  57. J. Hurlbert, R. Rosenfeld, Getting a good job: Rank and institutional prestige in academic psychologists' careers, Sociology of Education, 65 (1992) 188-207.

    Google Scholar 

  58. B. Latour, S. Woolgar, Laboratory Life: The Construction of Scientific Facts, Princeton University Press, Princeton, NJ, 1986.

    Google Scholar 

  59. B. Bozeman, The credibility of policy analysis: Between method and use, Policy Studies Journal, 14 (1986) 519-539.

    Google Scholar 

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Dietz, J.S., Chompalov, I., Bozeman, B. et al. Using the Curriculum Vita to Study the Career Paths of Scientists and Engineers: An Exploratory Assessment. Scientometrics 49, 419–442 (2000). https://doi.org/10.1023/A:1010537606969

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