This is so helpful! Many of your videos are so clear. The way you explain the assumptions and theory associated with every test is great! THANK YOU SO MUCH
I am very confused on one-way and two-way ANOVA tests, between-subjects and within-subjects. Can you provide videos on how to conduct these tests in SPSS and the differences in main effects for these tests? I can really use your help.
Thank you for the presentation. I have both nominal and ordinal independent variables (4) with (2) ordinal dependent variables. Please which one should i choose between Spearman correlation and Chi-square test to analyze the association or relationship between the variables? Or can we do both of them in the same study? i mean doing chi-square to see the relationship between the 2 nominal independent variables and the dependent variables and use the spearman correlation to see the relationship between the 2 ordinal independent variable and the dependent variable. Also, can we put more than 2 variables in the variables box when doing the bivariate correlation with spearman correlation as shown on the video. Thanks, your reply will be highly helpful
Sir is it possible to have a significant yet negative spearman rank correlation?? Example- Spearman correlation is (-.621) and significant at (.000)?? Kindly help me here!!
i'm still studying about spearman and lead me to your videos, thank you it gives me some insight. excuse me sir, i'd like to ask what if the level of happiness is nominated as ordinal category such: badly sad, sad, fairly sad, neutral, fairly happy, just happy, really happy, euphoria instead of score level, could it still be analysed using Spearman? thank you sir.
I need some guidance I have one continuous variable (suppose age) and other categorical variable(4 categiries), so using spearman correlation is correct approach ?
Which kind of correlation can you use if the assumption of a monotonic relationship is violated? I want to know the correlation between two continuous variables, so I should normally use a Pearson correlation, but there were assumptions violated. I turned to the Spearman correlation coëfficiënt as an alternative, but the assumption of monotonic relationship was violated. Which alternatives are left?
The problem is that SPSS uses Pearson (not Spearman) to develop scatterplots. The square route of the fit line is the Pearson correlation coefficient, not Spearman.
You saved my my dissertation, I cannot thank you enough. God bless you ✨🥰
This is so helpful! Many of your videos are so clear. The way you explain the assumptions and theory associated with every test is great! THANK YOU SO MUCH
Very smooth simulation and interpretation. Thank you, Sir!
A brilliant video, perfectly explained and extremly clear! Thank you!
This is the best explanation on Spearman Correlation.
This was so brilliant, you are an excellent teacher. Thank you!
the same voice i used to listen to other stat video lecture. so amazed that he explains very well.
best explanation I have come across, Thank you so much
I am very confused on one-way and two-way ANOVA tests, between-subjects and within-subjects. Can you provide videos on how to conduct these tests in SPSS and the differences in main effects for these tests? I can really use your help.
Thank you for the presentation. I have both nominal and ordinal independent variables (4) with (2) ordinal dependent variables. Please which one should i choose between Spearman correlation and Chi-square test to analyze the association or relationship between the variables? Or can we do both of them in the same study? i mean doing chi-square to see the relationship between the 2 nominal independent variables and the dependent variables and use the spearman correlation to see the relationship between the 2 ordinal independent variable and the dependent variable. Also, can we put more than 2 variables in the variables box when doing the bivariate correlation with spearman correlation as shown on the video. Thanks, your reply will be highly helpful
your website link isnt going through
How can I find the joint effect of two variables on a dependent variable?
You are great teacher. Thank you. Your video helped me a lot. Keep on man!
A nicely simple and clear explanation of Spearman correlation. But please don't turn on the captions when you are watching.
can this be applied when you have three variables
Sir is it possible to have a significant yet negative spearman rank correlation?? Example- Spearman correlation is (-.621) and significant at (.000)?? Kindly help me here!!
i'm still studying about spearman and lead me to your videos, thank you it gives me some insight. excuse me sir, i'd like to ask what if the level of happiness is nominated as ordinal category such: badly sad, sad, fairly sad, neutral, fairly happy, just happy, really happy, euphoria instead of score level, could it still be analysed using Spearman? thank you sir.
I need some guidance I have one continuous variable (suppose age) and other categorical variable(4 categiries), so using spearman correlation is correct approach ?
Thank you. Helping with my master's dissertation.
Which kind of correlation can you use if the assumption of a monotonic relationship is violated?
I want to know the correlation between two continuous variables, so I should normally use a Pearson correlation, but there were assumptions violated. I turned to the Spearman correlation coëfficiënt as an alternative, but the assumption of monotonic relationship was violated. Which alternatives are left?
Hey , I got the same issue. Which options can we choose if both Pearson and Spearman assumptions are violated? It would be very helpful to know.
Thank you, sir! I am so happy I found your video og profile! You helped me ALOT!
best explanation and to the point.. thanks alot
Hi sir how are you sir can you plz send me spearman rank step in spss in PDF form
Best explanation !!!! Thanks alot
Thank you! You helped me out with that!
You saved my life
The problem is that SPSS uses Pearson (not Spearman) to develop scatterplots. The square route of the fit line is the Pearson correlation coefficient, not Spearman.
Very useful... Thank you sir..
hi, I want to contact you. Can I shoot you an email, Thanks
thank you
Very Good