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Analytical methods that examine the relationship between two things (items and variables) are collectively called correlation analysis, which is also known as bivariate analysis.
There are various methods for correlation analysis; however, the choice of analysis method depends on whether the measured data are quantitative, ranked, or categorical.
[Table1]
Data types, analysis methods, and correlation coefficients for correlation analysis of each theme
For example, to investigate the following five research questions, the options, data types, analysis methods, and correlation coefficients are presented in the table.
(1) Is there a relationship between study time and test scores?
(2) Is there a relationship between income class and political party support?
(3) Is there a relationship between a doctor who is compatible with their patient’s age?
(4) Is there a relationship between body shape and blood sugar level?
(5) Is there a relationship between reception satisfaction and overall hospital satisfaction?
[Table2]
Next, we explain the functional relationships, correlations, causal relationships, and their respective correlation coefficients.
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