pp. 303-315 | Article Number: mathedu.2016.034
Published Online: April 10, 2016
Article Views: 4023 | Article Download: 16110
The purpose of the article is to provide an algorithm that allows choosing a valid method of statistical data processing and development of a model for acquiring knowledge about statistical methods and mastering skills of competent knowledge application in various research activities. Modelling method is a leading approach to the study of this problem. It allows us to consider this issue as a targeted and organized process of application of the author’s methodology for the selection of appropriate statistical method for the efficient processing of the research results. The article showcases an algorithm that allows to choose an appropriate method of statistical data processing: general algorithm of statistical methods application in scientific research, statistical problems systematization based on which there have been outlined conditions for specific research methods application. To make a final decision concerning the statistical method at the stage of data received and statistical tasks of the research defined, it is proposed to use an author’s algorithm that allows to competently select the method of processing the research results.
Keywords: statistical processing of the research results, statistical methods, research, statistical criteria, algorithm
2014 Progress Report of the Arbitration Court of the Kirov region. (2014). Reference Form № 1. from http://kirov.arbitr.ru
Biryukov, B. V. (1974). Cybernetics and science methodology. Moscow: Nauka.
Bluvshtejn, J. D. (1981). Criminological statistics. Minsk.
Cochran, W. (1976). Sampling techniques. Moscow: Statistika
Ermolaev, O. J. (2006). Mathematical statistics for psychologists: the textbook. Moscow: Flint.
Ganieva, Y. N., Azitova, G. S., Chernova, Y. A., Yakovleva, I. G., Shaidullina, A. R., Sadovaya, V. V. (2014). Model of High School Students Professional Education. Life Science Journal, 11(8s), 1097-8135.
Glantz, S. (1998). Biomedical statistics. Moscow: Practice
Glass, J. & Stanly, J. (1976). Statistical methods in pedagogy and psychology. Moscow: Progress.
Gmurman, V. E. (2003). The theory of probability and mathematical statistics: a manual for schools. Moscow: Higher School.
Grabar, M. & Krasnyanskaya K. A. (1977). Application of mathematical statistics in educational research. Non-parametric methods. Moscow: Pedagogika.
Granichina, O. (2012). Mathematical and statistical methods of psychological and educational research: study guide. St. Petersburg, St. Petersburg.: Publishing house of VVM.
Hollender, M. & Wolfe, D. (1983). Nonparametric Statistical Methods. Moscow: Finance and Statistics.
Kabanova-Meller, E.N. (1981). Training activities and developmental teaching. Moscow: Knowledge.
Krajewski, V. V. (1977). Problems of scientific substantiation of training (Methodological Analysis). Moscow: Pedagogika.
Krutetskiy, V. A. (1972). Fundamentals of educational psychology. Moscow: Prosvescheniye
Landa, L. N. (1966). Algorithmization in training. Moscow.
Leontiev, A. N. (1959). Problems of the mental development. Moscow: APS RSFSR.
Lerner, I. J. (1981). Didactic fundamentals of training methods. Moscow: Pedagogika
Litvak, K. B. (1985). Information capacity scope of communal reviews in the territorial census reports as part of households types study. Mathematical methods and computers in the historical research. Moscow.
Masalimova, A. R. & Nigmatov, Z. G. (2015). Structural-Functional Model for Corporate Training of Specialists in Carrying Out Mentoring. Review of European Studies, 7(4), 39-48.
Mikheev, V. (1987). Modeling and measurement theory methods in pedagogy: scientific-methodical manual for teachers and researchers, mathematicians, scientists and graduate students involved in educational research methodology. Moscow: Higher School
Nikolaev, A. G. & Degtyarev, M. P. (2013). Identification of text files by statistical methods (conventional cases).Radioelektronni kopm'yuterni i sistemi, 4 (63), 55-59.
Novikov, D. A. & Novochadov, V. V. (2005). Statistical Methods in Experimental Medicine and Biology (conventional cases).Volgograd: Publishing house of VSMU.
Novikov, D. A. (2004). Statistical methods in educational research (typically). Moscow: MZ-Press
Orlov, A. I. (2001). Development of Methodology of Statistical Methods. Statistical methods of assessment and hypothesis testing. Interuniversity collection of scientific papers. Perm, Perm: Publishing house of the PSU.
Platonov, A. E. (2000). Statistical analysis in medicine and biology: the problem, terminology, logic, computer methods. Moscow, M.: Publishing House of the Academy of Medical Sciences.
Polonsky, V. M. (1987). Assessment of the quality of scientific and pedagogical research. Moscow: Pedagogika.
Professional education. (1999). Dictionary. Key concepts, terminology, relevant vocabulary. Moscow: NMC ACT.
Rosenberg, N. M. (1979). The challenges of measurement in didactics. Kiev.
Shilova, Z. V. (2014) Statistical Methods of Processing Research Results. PhD Thesis. Kirov.
Urbach, V. J (1975). Statistical analysis in biological and medical research. Moscow: Nauka.
Vygotsky, L. S. (1965/1986). Psychology of Art. Moscow: Art.
Vygotsky, L. S. (1982/2012). Problems of general psychology. Moscow: Publishing house "Kniga po trebovaniju."
Zaripova, I. M., Shaidullina, A. R., Upshinskaya, A. Y., Sayfutdinova, G. B., Drovnikov, A. S. (2014). Modeling of Petroleum Engineers Design-Technological Competence Forming in Physical-Mathematical Disciplines Studying Process. American Journal of Applied Sciences, 11(7), 1049-1053.