Bivariate Correlation in SPSS (SPSS Tutorial Video #15) - Pearson, Spearman, and Kendall's Tau-B

[@user-gz9cf1pb9l]

Your name should be Jefe (Spanish word) because you're the boss. Thank you for this series of videos. I am currently working my way through the entire playlist. I would be interested in learning how to automate the generation of crosstabs between all the different combinations of variables in a survey dataset. Once again, thank you Jeff!

[@christianalgaranaz9867]

Hi Jeff, thanks for the vid. Curious to know why for the "big5" we used person rather than spearman; the way I thought about it is that the options are not continuous... Am I interpreting the definition of continuous and discrete variables incorrectly? Is spearman relevant only when dealing with data you can order? thanks

[@RamGobburu]

Prof, The importance field is a categorical variable, but why did we use pearson option for correlation?

[@aliasoni3429]

thank you for this video! this whole series is very helpful. I do have a question, if I have computed the big5 factors (found the means of each factor) and I need to correlate it with another scale that had likert type data, will I have to perform non parametric correlations since likert type data is not continuous?

[@DataDemystified]

Glad it was useful! You can use regular pearson correlation if using likert like scales. The assumption in these scales is that they are continuous, not discrete. No need for non-parametric (e.g. spearman) correlations!

[@aliasoni3429]

@@DataDemystified thank you!

[@WEN.RAYMOND]

Sir, why my demographic is not in the bibrate correlate?

[@ilgimvar1715]

You are the man :)

[@DataDemystified]

Thanks!

[@greatmind3842]

Hi. Thanks for this very educative video. But I wanted to ask, supposing you are performing an analytical procedure involving both categorical variables (Educational Level, Income, Race, Age group) and continuous variables (e.g. Age) in the same model, how do you process that? Your answer would be very helpful because I'm working on my dissertation and I'm thinking perhaps because I applied Pearson instead of Spearman I found no relationship between the former and my outcome variable whereas most previous studies found a relationship. And I chose Pearson because most of my other variables are continuous. Thank you in advance for your help.