SPSS for questionnaire analysis Correlation analysis

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Basic introduction to correlation - how to interpret correlation coefficient, and how to chose the right type of correlation measure for your situation. • 0:00 Introduction to bivariate correlation • 2:20 Why does SPSS provide more than one measure for correlation? • 3:26 Example 1: Pearson correlation • 7:54 Example 2: Spearman (rhp), Kendall's tau-b • 15:26 Example 3: correlation matrix • • • I could make this video real quick and just show you Pearson's correlation coefficient, which is commonly taught in a introductory stats course. However, the Pearson's correlation IS NOT always applicable as it depends on whether your data satisfies certain conditions. So to do correlation analysis, it's better I bring together all the types of measures of correlation given in SPSS in one presentation. • • Watch correlation and regression: • Partial, semi-partial (part) correlat... • ------------------------- • Correlation of 2 rodinal variables, non monotonic • This question has been asked a few times, so I will make a video on it. But to answer your question, monotonic means in one direction. I suggest you plot the 2 variables and you'll see whether or not there is a monotonic relationship there. If there is a little non-monotonic relationship then Spearman is still fine. Remember we are measuring the TENDENCY for the 2 variables to move up-up/down-down/up-down together. If you have strong non-monotonic shape in the plot ie. a curve then you could abandon correlation and do a chi-square test of association - this is the correlation for qualitative variables. And since your 2 variables are ordinal, they are qualitative. • Good luck

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