CORRELATION ANALYSIS OF DATA USING STATISTICA AND SPSS SOFTWARE

In this paper we present the main principles of correlation analysis using parametric and non-parametric methods. Algorithms for calculations of Pearson’s, Spearmen’s and Kendall’s coefficients using Statistica 10 and SPSS 20 software are presented. Special emphasis is given to interpretation of results of statistical analysis. The article complements, but does not substitute specialized literature on biostatistics and clinical epidemiology.

Andrej M. Grjibovski 1-4, http://orcid.org/0000-0002-5464-0498,

Sergej V. Ivanov 5, http://orcid.org/0000-0003-0254-3941

Maria A. Gorbatova 2, http://orcid.org/0000-0002-6363-9595

1 Norwegian Institute of Public Health, Oslo, Norway;

2 Northern State Medical University, Arkhangelsk, Russia;

3 International Kazakh-Turkish University, Turkestan, Kazakhstan;

4 North-Eastern Federal University, Yakutsk, Russia;

5 Pavlov First Saint Petersburg State Medical University, St. Petersburg, Russia.


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Bibliography link

Grjibovski A.M., Ivanov S.V., Gorbatova M.A. Correlation analysis of data using Statistica and SPSS software. Nauka i Zdravookhranenie [Science & Healthcare]. 2017, 1, pp. 7-36.

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