Abstract
Correlation analysis is one of the tools that can be used when examining the relationship between quantitative and qualitative variables in international relations. To carry it out, it is important to meet the necessary assumptions regarding a given correlation coefficient. Several of the most used coefficients are presented, broken down into quantitative, ordinal, and nominal variables. The aim of the study was to present the use of correlation analysis on the example of selected economic and non-economic aspects of Polish-German relations. Trade and the structures of the two countries’ European trade partners were shown to be strongly correlated using Spearman’s rank correlation coefficient. In turn, using the chi-square test of independence, it was also found that there is no statistically significant relationship between Germans residing in one of the former German states and maintaining contacts with Poland. A model for subjective analysis of relationships and influences was also proposed. Consequently, it is suggested that statistical methods should be used more frequently in the study of international relations as a complement to classical descriptive methods.
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