Abstract
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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B. Bozeman, J. S. Dietz, M. Gaughan, Scientific and technical human capital: An alternative model for research evaluation, International Journal of Technology Management (forthcoming).
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.
J. D. Rogers, B. Bozeman, Knowledge value alliances: An alternative to R&D project evaluation, (in submission).
J. Mincer, Investment in human capital and personal income distribution, Journal of Political Economy. (1958) Aug.
G. Becker, Investment in human capital: A theoretical analysis, Journal of Political Economics, 70 (1962) No. 5, S9-S49.
T. W. Schultz, The Economic Value of Education, Columbia University Press, New York, 1963.
M. Polanyi, The Tacit Dimension, Cox & Wyman, London, 1967.
M. Polanyi, The Logic of Tacit Inference. Knowing And Being, Routledge & Kegan Paul, London, 1969.
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.
P. Bourdieu, L. Wacquant, An Invitation to Reflexive Sociology, University of Chicago Press, Chicago, 1992.
J. C. Coleman, Social capital in the creation human capital, American Journal of Sociology, 94 (1988) S95-S120.
J. C. Coleman, Foundations of Social Theory. The Belknap Press of Harvard University Press, Cambridge, 1990.
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.
E. M. Rogers, Diffusion of Innovations. Fourth Ed., The Free Press, New York, 1995.
P. E. Stephan, S. G. Levin, The critical importance of careers in collaborative scientific research. Revue d'Economie Industrielle, 79 (1997) 45-61.
D. K. Simonton, Creative productivity: A predictive and explanatory model of career trajectories and landmarks, Psychological Review, 104 (1997) 66-89.
A. M. Diamond, An economic model of the life-cycle research productivity of scientists, Scientometrics, 6 (1984) 189-196.
A. M. Diamond, The life-cycle research productivity of mathematicians and scientists, Journal of Gerontology, 41 (1986) 520-525.
G. Becker, Human Capital: A Theoretical and Empirical Analysis, with a Special Reference to Education, University of Chicago Press, Chicago, 1964.
S. G. Levin, P. E. Stephan, Research productivity over the life cycle: Evidence for academic scientists, American Economic Review, 81 (1991) 114-132.
P. E. Stephan, The economics of science, Journal of Economic Literature, 34 (1996) 1199-1235.
J. S. Long, R. McGinnis, The effects of the mentor on the academic career, Scientometrics, 7 (1985) 255-280.
B. F. Reskin, Scientific productivity and the reward structure of science, American Sociological Review, 42 (1977) 491-504.
H. A. Zuckerman, The Scientific Elite, Free Press, New York, 1977.
R. K. Merton, On the Shoulders of Giants: A Shandean Postscript, University of Chicago Press, Chicago, 1993.
G. H. Elder Jr., Time, human agency, and social change: Perspectives on the life course, Social Psychology Quarterly, 57 (1994) 4-15.
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.
L. Gomez-Mejia, D. Balkin, Determinants of faculty pay: An agency theory perspective, Academy of Management Journal, 35 (1992) 921-955.
J. Heinsler, R. Rosenfeld, Charting academic careers, Social Studies of Science, 17 (1987) 135-144.
S. Bonzi, Trends in research productivity among senior faculty, Information Processing & Management, 28 (1992) 111-120.
F. J. Fowler, Survey Research Methods, revised edition, Sage, Newbury Park, 1988.
R. A. Singleton, Jr., B. Straits, M. Straits, Approaches to Social Research, Second Ed., Oxford University Press, New York, 1993.
G. Bohrnstedt, D. Knoke, Statistics for Social Data Analysis, Second Ed., F.E. Peacock, Itasca, IL, 1988.
E. Babbie, The Practice of Social Research, Sixth Ed., Belmont, Wadsworth Publishing, CA, 1992.
S. Lawrence, C.L. Giles, Accessibility of information on the Web, Nature, 400 (1999) 107, for a discussion of internet searches and noise levels.
W. Scott, Reliability of content analysis: The case of nominal scale coding, Public Opinion Quarterly, 19 (1955) 321-325.
R. Craig, Generalization of Scott's index of intercoder agreement, Public Opinion Quarterly, 45 (1981) 260-264.
G. Funkhouser, E. Parker, Analyzing coding reliability: The random-systematic-error coefficient, Public Opinion Quarterly, 32 (1968) 122-128.
J. Fleiss, Measuring nominal scale agreement among many raters, Psychological Bulletin, 76 (1971) 378-382.
J. Landis, G. Koch, The measurement of observer agreement for categorical data, Biometrics, 33 (1977) 159-174.
K. Crittenden, R. Hill, Coding reliability and validity of interview data, American Sociological Review, 36 (1971) 1073-1080.
A. Montgomery, K. Crittenden, Improving coding reliability for open-ended questions, Public Opinion Quarterly, 41 (1977) 235-243.
G. Carroll, Dynamic analysis of discrete dependent variables, Quality and Quantity, 17 (1983) 425-460.
N. Tuma, M. Hannan, Social Dynamics, Academic Press, Orlando, FL, 1984.
H. Blossfeld, A. Hamerle, K. Mayer, Event History Analysis, Lawrence Erlbaum Associates, Hillsdale, NJ, 1989.
K. Yamaguchi, Event History Analysis, Sage, Newbury Park, CA, 1991.
J. Cole, S. Cole, Social Stratification in Science, University of Chicago Press, Chicago, 1973.
S. Cole, Age and scientific performance, American Journal of Sociology, 84 (1979) 958-977.
J. Hurlbert, R. Rosenfeld, Getting a good job: Rank and institutional prestige in academic psychologists' careers, Sociology of Education, 65 (1992) 188-207.
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.
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.
M. Fox, C. Faver, Men, women, and publication productivity: Patterns among social work academics, The Sociological Quarterly, 26 (1985) 537-549.
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.
J. S. Long, M. F. Fox, Scientific careers: Universalism and particularism, Annual Review of Sociology, 21 (1995) 45-71.
Y. Xie, K. Shauman, Sex differences in research productivity: New evidence about an old puzzle, American Sociological Review, 63 (1998) 847-870.
L. Hargens, W. Hagstrom, Scientific consensus and academic status attainment patterns, Sociology of Education, 55 (1982) 183-196.
J. Hurlbert, R. Rosenfeld, Getting a good job: Rank and institutional prestige in academic psychologists' careers, Sociology of Education, 65 (1992) 188-207.
B. Latour, S. Woolgar, Laboratory Life: The Construction of Scientific Facts, Princeton University Press, Princeton, NJ, 1986.
B. Bozeman, The credibility of policy analysis: Between method and use, Policy Studies Journal, 14 (1986) 519-539.
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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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DOI: https://doi.org/10.1023/A:1010537606969