Third All-Union Scientific-Research Conference on Microwires and Resistance Instruments

1966 ◽  
Vol 9 (2) ◽  
pp. 248-250
Keyword(s):  
Scientific Research ◽  
Research Conference

scholarly journals REPERTOIRE OF PUBLICATIONS ABOUT THE GREAT PATRIOTIC WAR PUBLISHED IN THE UDMURT REPUBLIC FROM 1985 TO 2020

2020 ◽  
Vol 30 (5) ◽  
pp. 898-908
Author(s):  
I.F. Pavlova ◽  
E.V. Sukhanova ◽  
L.M. Orlova
Keyword(s):  
Information Technology ◽  
Book Publishing ◽  
Scientific Research ◽  
Military History ◽  
Research Conference ◽  
Great Patriotic War ◽  
Udmurt Republic ◽  
The Republic ◽  
Printed Materials

The article is devoted to the analysis of the repertoire of publications about the Great Patriotic War, published on the territory of the Udmurt Republic from 1985 to 2020. All publications were grouped by their type: documentary publications (archival materials, documents), publications of letters and memoirs of event participants, scientific research, conference materials, publications of municipalities, youth publications, literary publications and essays, various publications which include booklets, photo albums, postcards, methodological developments and other printed materials. A bibliographic review of published literature on the war is given, which allows one to identify the features of the development of book publishing in the republic and the influence of information technology on it. Particular attention is paid to the description of each publication, its structure, features of the grouping and presentation of the material. Attention is drawn to the work of the most famous researchers of military history K.I. Kulikov, S.P. Zubarev, N.A. Rodionov, N.S. Kuznetsov, writer R.N. Zapparova and others. The analyzed publications show Udmurtia's contribution to the victory and the price the republic paid to achieve it.

Statistical analysis of classification

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.

Social-Scientific Research Competency

2019 ◽  
Vol 35 (5) ◽  
pp. 737-750 ◽  
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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