Skip to main content

Assessment of Scientists’ Research Capacity

  • Chapter
  • First Online:
America's Leaning Ivory Tower

Part of the book series: SpringerBriefs in Political Science ((BRIEFSPOLITICAL))

  • 139 Accesses

Abstract

After an empirical test of the evaluative framework developed in Chap. 3, this chapter assesses EPSCoR efforts in builiding scientists' research capacity by comparing the mean values of the four key determinants of individual research capacity between scientists in EPSCoR states and those in other states. The results suggest that individual scientists in EPSCoR states do not show significant weakness in research talent, collaboration, and motivation, and they seem to perform equally well in grant-seeking as their counterparts in non-EPSCoR states. However, the results also reveal important frustrations among scientists in EPSCoR states with their institutional environment.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    The data were collected under the auspices of the NSF Grant: “Breaking through the Reputational Ceiling: Professional Networks as a Determinant of Advancement, Mobility, and Career Outcomes for Women and Minorities in STEM” (NSF Grant # DRL-0910191).

  2. 2.

    Accessed February 28, 2018 at https://ncsesdata.nsf.gov/profiles/site?method=rankingBySource&ds=herd.

  3. 3.

    The Appendix includes tables to show the lists of top 100 academic institutions receiving federal R&D support in select years from 1975 to 2015.

References

  • Bozeman, B., & Corley, E. A. (2004). Scientists’ collaboration strategies: Implications for scientific and technical human capital. Research Policy, 33(4), 599–616.

    Article  Google Scholar 

  • Carnegie Foundation for the Advancement of Teaching. (2004). The Carnegie classification of institutions of higher education, 2000 Edition. Electronic data file, fifth revision.

    Google Scholar 

  • Hardré, P. L., Beesley, A. D., Miller, R. L., & Pace, T. M. (2011). Faculty motivation for research: Across disciplines in research-extensive universities. Journal of the Professoriate, 5(2), 35–69.

    Google Scholar 

  • Lin, N. (2001). Social capital: A theory of social structure and action. Cambridge, MA: Cambridge University Press.

    Book  Google Scholar 

  • Melkers, J., & Wu, Y. (2009). Evaluating the improved research capacity of EPSCoR states: R&D funding and collaborative networks in the NSF EPSCoR program. Review of Policy Research, 26(6), 761–782.

    Article  Google Scholar 

  • Perry, J. L., & Wise, L. R. (1990). The motivational bases of public service. Public Administration Review, 50(3), 367–373.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yonghong Wu .

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Wu, Y. (2020). Assessment of Scientists’ Research Capacity. In: America's Leaning Ivory Tower. SpringerBriefs in Political Science. Springer, Cham. https://doi.org/10.1007/978-3-030-18704-0_4

Download citation

Publish with us

Policies and ethics