Abstract

In this case study the analyses focus on the some correlation compares among EU-28 member states. Also the analyses focus on the wide side overview for the EU-28 member states using eight variances of three principal components for EU-28. The economic growing rate of EU-28 member states concerning some economic issues as GDP growing rate, employment, unemployment accompanying with social protection and government debt, price fluctuating, purchase power parity of consumers and also probably lifelong learning. The eight numbers according to each variance give the average value of KMO, which shows in the first line of T able T. KMO and Bartlett's Test, namely 0.628. In this case all of other variances expect RisPov2014 have strong correlations with themselves. The LLeam2014 has the strongest correlations by value of 0.767 (76%), also the GovDebt2014 has strong one, by 0.744 (74%), HICPan2014 has 0.731 (73%), the GDPcap2014 has value of 0.706 (70.6%). This SPSS statistical program can help to make clear overview for the correlations and differences among EU-28 member states from different issues and approaches, as variances. Also it is important, when the researchers choose these variances; they should know that the correlations among variances based on the principle components. These last one can select variances into different components, which mostly can explain the role and importance of each variance.

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