Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


2013 | 31 | 51-59

Article title

PISA Science Score: A Good Indicator of Competence in S & T?

Authors

Content

Title variants

Languages of publication

Abstracts

EN
In this study, the data from the Programme for International Student Assessment (PISA) are used to investigate whether the PISA science test score is a good indicator of competence in science and technology. The researcher uses a number of scientific and technical journal articles per million people as a measure instrument to represent the competence of science and technology. A regression model analysis suggests that the PISA science scores would significantly predict competence in S & T, even when controlling the number of researchers in R&D per million people and the R&D expenditure (% of GDP). Moreover, it shows that R&D expenditure (% of GDP) is another important determinant of the competence in S & T. Multicollinearity is also found between the R&D expenditure (% of GDP) and the number of researchers in R&D per million people. The policy implication is clear.

Year

Volume

31

Pages

51-59

Physical description

Dates

published
2013

Contributors

author
  • University of Science and Technology Liaoning, Anshan, China

References

  • Chen, S.S., & Luoh, M.C. (2010). Are mathematics and science test scores good indicators of labor-force quality? Social Indicator Research, 96, 133–143.
  • Emeagwali, N.S. (2010). National science board says US lead in STEM slipping. Techniques: Connecting Education & Careers, 85(3), 10–11.
  • Hutchison, G., & Schagen, I. (2007). Comparisons between PISA and TIMSS-Are we the man with two watches? In T. Loveless (Ed.), Lessons learned-What international assessments tell us about math achievement. Washington, DC: The Brookings Institution.
  • OECD (2012). PISA2009. http://pisa2009.acer.edu.au/. Accessed1 June 2012.
  • Papay, J., Murnane. R., & Willett, J. (2011). How performance information affects human-capital investment decisions: the impact of test-score labels on educational outcomes. NBER Working Paper 17120
  • United Nations. (2012). Population 2009. http://www.un.org/esa/population/unpop.htm. Accessed 1 June 2012.
  • Viadero, D. (2008). PISA results scoured for secrets to better science scores. Education Week, 27(17), 10.
  • World Bank (2012a). Article 2009. http://data.worldbank.org/indicator/IP.JRN.ARTC.SC. Accessed 1 June 2012.
  • World Bank (2012b). Research and development expenditure (% of GDP) 2009. http://data.worldbank.org/indicator/GB.XPD.RSDV.GD.ZS/countries. Accessed 1 June 2012.
  • World Bank (2012c). Researchers in R&D (per million people) 2009. http://data.worldbank.org/indicator/GB.XPD.RSDV.GD.ZS/countries. Accessed 1 June 2012.
  • Wu, M.(2009). A comparison of PISA and TIMSS 2003 achievement results in mathematics. Prospects, 39:33–46
  • Yu, C.H., DiGangi, S., & Jannasch-Pennell, A. (2012). A time-lag analysis of the relationships among PISA scores, scientific research publication, and economic performance. Social Indicator Research, 107:317–330

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
26469703

YADDA identifier

bwmeta1.element.ojs-doi-10_15804_tner_13_31_1_04
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.