Bivariate Correlation in SPSS (SPSS Tutorial Video #15) - Pearson, Spearman, and Kendall's Tau-B
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- Опубликовано: 23 окт 2020
- In this video, I cover the details of how how to conduct and interpret the results of a bivariate correlation in SPSS. I give a quick refresher on what a correlation is, cover how to use a Pearson correlation for linear and continuous variables (including how to read a large correlation matrix of many variables), how to use a Spearman and Kendall's Tau-b correlation for ordinal variables, and give and give you a chance to try it yourself.
This SPSS tutorial series is designed to teach you the basics of how to analyze and interpret the results of data using SPSS. I will cover everything from the very basics of the main windows within SPSS, to manipulating data, to running and interpreting meaningful analyses like t-tests, ANOVA, regression, and many more, and visualizing results.
The data file used in this video can be found here: drive.google.com/file/d/1-Bbn...
Video tutorial and walkthrough of the data file used in this video: • Introduction to Data F...
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Playlist of video covering INTUITION for statistics and data science: • Data Intuition
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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!
You are the man :)
Thanks!
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
Prof, The importance field is a categorical variable, but why did we use pearson option for correlation?
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?
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!
@@DataDemystified thank you!
Sir, why my demographic is not in the bibrate correlate?
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.