Pearson r Correlation in SPSS - How to Calculate and Interpret (Part 1)
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- Опубликовано: 11 сен 2024
- Pearson r Correlation in SPSS - How to Calculate and Interpret Correlation (Part 1).
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How to calculate the correlation coefficient in SPSS is covered in this video. The correlation is also tested for significance and a scatterplot is constructed.
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Video Transcript: In this video we'll take a look at how to calculate the correlation coefficient in SPSS. Now when we talk about calculating correlation what we mean here is Pearson correlation. The Pearson correlation measures the degree of the linear relationship between two variables. When we say linear what we mean is that the relationship can be well characterized by a straight line. So a straight line does a good job of representing the relationship. Correlation ranges from negative 1.0 to positive 1.0. There are 3 types of relationships I'd like to talk about with Pearson correlation. And in this description we have two variables the first variable is X and the second variable is Y. So our first type of relationship is a positive relationship and for a positive relationship or a positive correlation that's saying the same thing higher scores on X are associated with higher scores on Y. And what this means is there's a tendency for if an individual has a high score on X they're also going to tend to have a high score on Y. It's not necessarily perfect in most cases it won't be but if you know someone's score on X it gives you a good idea of where they are on Y. High on X high on Y. For positive it's also true that if you have a lower score on X you would tend to have a lower score on Y. The second type of relationship is a negative relationship or negative correlation. Now here we see the opposite pattern. So here higher scores on X are associated with lower scores on Y and vice versa. Lower scores on X are associated with higher scores on Y. Finally our last type of relationship is no relationship and that means there's no predictable relationship between X and Y. And another way to think about it is where here we had higher on X we had higher on Y for positive and for negative we had higher on X with lower on Y, well for no relationship we have if you have a low X you're going to have some low Ys, some medium Ys, and some high Ys. If you have a high X you're going to once again have some low Ys, medium Ys, and high Ys. There's no relationship; no predictable relationship between X and Y for a correlation that exhibits no relationship at all between the two variables. OK with the background of correlation laid out let's go ahead and take a look at our example. In this example we have the following two variables, hours of media or hours media and college GPA. And what we did here in this hypothetical example is we recorded the number of hours of media during a given week that individuals engaged in. And media could be TV, movies, internet, and so on. So we recorded the number of hours of media that people engaged in, in a given week, and then we also obtained their college GPA and we want to see if there's a relationship between these two variables as measured by Pearson's r our correlation. And if you think about it if somebody watches a lot of media so they're spending let's say an inordinate amount of time watching media whatever form it may take. That's not going to leave them probably sufficient time to attend to their studies. And in that case if we had a lot of hours of media watched that probably would suggest that the GPA may be lower. But if that was true high hours media, low GPA, do you recall kind of correlation coefficient that would be? Well if we use the generic variables X and Y here high on X low on Y so it's an opposite pattern, high on one low on the other, that you may recall is a negative correlation. So it makes sense, at least theoretically speaking, that there could be a negative correlation here. But let's go ahead and run the analysis and see what we find. To run the correlation we go to Analyze, and then Correlate, and then Bivariate
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Thank you so much. It helps me lot! Really appreciate.
Thank you sir for giving wonderful session ☺️
Oooh Thanks. It was so helpful to me
I really enjoyed your clear explanation. Thank you!
great video!! really made sense, clear voice makes it easy to listen to and understand. Thank you!!
I like the video a lot, but I wish you could focus more time on how to report at the end when the final table is ready. How can I "translate" into "qualitative" information all you have given me; how do I write all that down exactly?
I once regarded statistics like an impending dental appointment. This subscription helped a lot. Thanks for the instructional videos!
wow very good tutorial video
easy to understand, well defined
thank you
Hi.. very useful video.Thank you! Can you please do the video for categorical data?
hello, sir! i would like to ask for your advice about our exercise in statistics. i want to see if there is a connection between teacher personality and his students score. I used the Big five inventory personality scale to identify the teacher's personality. I realized that this scale is divided into 5 dimensions, so how ill i correlate the personality scale score to the test scores? Should I get the mean in each dimension and correlate it to the test scores? Or should i use other statistical analysis? I'm sorry if I'm asking too many questions,,, thank you in advance.
very good example ...very clear
is Pearsons R interpreted the same way no matter what model it is seen in connection with? Or maybe I should simply ask, can I use what I have learned in this video to analyse the results in a linear regression? Thanks in advance! :)
Siv Greve Laursen
For simple regression (one IV), it is interpreted the same way. For multiple regression, it gets a bit more complicated. I talk about how to interpret it in a multiple regression series I recently uploaded, which you can view here: ruclips.net/video/thO_Wfdc6O4/видео.html
i have ranges of GPA
for example 3.00- 4.00 instead of values can i uses this as well
i want to correlate risk tolerance(low,medium, high) to income
risk tolerance can be taken for correlation or not?
Congratulations for your videos, they really helped me but I have a question :) If I want to find the pearson correlation between dimensions of a questionaire how could I do it? I am asking this because a dimension might includes ten questions which I want to compare in order to find a pearson r with another dimension which includes another 10 questions for example. Thank you in advance and keep up the nice work ;)
You would need to calculate total scores for each scale (add each person's responses across all items together) and then correlate the two totals. I have a video on creating total scores which will show you how to create the two new variables here: ruclips.net/video/UROF87XZqKg/видео.html
Quantitative Specialists Thank you very much, I've just watched it! :)
How to do if the table caption did not appear?
Hi, thank your for your great video. I dont know if you could help me here, I am working on my thesis dissertation and I have chose the topic of The effect of organizational culture on knowledge sharing. I am having some trouble creating a methodology to asses the research questions I have already set. I need to find a way to correlate the elements of culture to knowledge sharing and measure how these affect knowledge sharing. So I was thinking of using the OCAI to asses the organizational culture, and then take the six elements of culture that are deduced from the OCAI and and use pearsons correlation to see if they are related.
In other words, I want to see if "Trust", which is one element of Organizational Culture has a relation with knowledge sharing, then take the next variable, "Leadership" and also see if it is related to knowledge Sharing.
Do you think that pearsons method can actually help me do this?
+Rami Massoud
It's difficult to say for certain without more information, but it sounds like it is what you are looking for. The correlation measures whether there is a relationship between two variables, and since it sounds like that is what you are looking for, it should fit the bill.
+Quantitative Specialists
I want to do the same thing between dimensions but I don't know how to make the 10 questions 1 factor to compare with another factor. In my case I want to find the correlation between factors of scl-90.
Thank You...
it was so beneficial one to me
Very glad to hear it - thanks for letting me know!
thanks
You bet, Zaid. Glad you found it helpful.
plz aik question smja den
thanks :)
age waigt and blood prasure ,,,corelation with age an waight anr age an blood prasure
help me