The Contribution of Chinese Diaspora Researchers to Global Science and China&Apos;S Catching Up in Scientific Research

Abstract This paper reports on a study that looked at Portuguese public universities setting out to identify and discuss institutional stakeholders’ social representations concerning the use of languages in scientific research and the development of institutional language policies within this area of higher education activity. In order to do so, institutional stakeholders responsible for research activities at six Portuguese public universities completed a questionnaire and participated in in-depth interviews. The findings indicate there are common tendencies regarding the identified social representations that point, mainly, to a tension between, on one hand, the existence of reported practices that centre on “English-mainly” research language policies, reflecting the current monolingual scenario of global science and, on the other hand, the need for a more plurilingual science and the privileging of Portuguese as a science language.

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5 ◆ GEOPOLITICAL TENSIONS AND GLOBAL SCIENCE Understanding U.S.-China Scientific Research Collaboration through Scientific Nationalism and Scientific Globalism

U.S. Power in International Higher Education ◽

10.36019/9781978820814-005 ◽

2021 ◽

pp. 77-93

Author(s):

John P. Haupt ◽

Jenny J. Lee

Keyword(s):

Research Collaboration ◽

Scientific Research ◽

Global Science ◽

Science Understanding

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Statistical analysis of classification

Symposium - International Astronomical Union ◽

10.1017/s0074180900053420 ◽

1966 ◽

Vol 24 ◽

pp. 188-189

Author(s):

T. J. Deeming

Keyword(s):

Multivariate Analysis ◽

Statistical Analysis ◽

Classification Scheme ◽

Analytical Procedure ◽

Narrow Band ◽

Scientific Research ◽

Maximum Amount ◽

Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

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Europe Catching Up to U.S. in CA-MRSA Cases

Rheumatology News ◽

10.1016/s1541-9800(11)70204-6 ◽

2011 ◽

Vol 10 (3) ◽

pp. 56-57

Author(s):

NEIL OSTERWEIL

Keyword(s):

Catching Up

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Building a Successful Career in Scientific Research

10.1017/cbo9781139165471 ◽

2006 ◽

Cited By ~ 2

Author(s):

Phil Dee

Keyword(s):

Scientific Research ◽

Successful Career

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Social-Scientific Research Competency

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000451 ◽

2019 ◽

Vol 35 (5) ◽

pp. 737-750 ◽

Cited By ~ 3

Author(s):

Christopher Gess ◽

Christoph Geiger ◽

Matthias Ziegler

Keyword(s):

Higher Education ◽

Test Scores ◽

Research Performance ◽

Scientific Research ◽

Research Education ◽

Crystallized Intelligence ◽

Research Competency ◽

Social Scientific Research ◽

Social Scientific ◽

Education Courses

Abstract. Although the development of research competency is an important goal of higher education in social sciences, instruments to measure this outcome often depend on the students’ self-ratings. To provide empirical evidence for the utility of a newly developed instrument for the objective measurement of social-scientific research competency, two validation studies across two independent samples were conducted. Study 1 ( n = 675) provided evidence for unidimensionality, expected differences in test scores between differently advanced groups of students as well as incremental validities over and above self-perceived research self-efficacy. In Study 2 ( n = 82) it was demonstrated that the competency measured indeed is social-scientific and relations to facets of fluid and crystallized intelligence were analyzed. Overall, the results indicate that the test scores reflected a trainable, social-scientific, knowledge-related construct relevant to research performance. These are promising results for the application of the instrument in the evaluation of research education courses in higher education.

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