Thank you for the video! i have a question, I have control and experimental groups, the factor which i applied on the experimental group affecting the two studied variables almost equally, is it good idea to combine the control and experimental groups in one data set and see the correlation between the two variables? (i have small sample size so the combination of control and experimental groups will give my study more power)
Thank you so much for the easy-to-follow explanations! great video! Is it also possible to run this group-wise correlation analysis on repeated measure data? to see if the correlation between 2 variables is significantly different between conditions? I assume we should maybe calculate correlation for each subject but I`m confused about the rest. Thank you in advance
Thanks. I am glad you liked it. Please split your data file by groups and then run the correlation between variables and you will see the output in groups.
@@researchwithfawad Thank you for the answer. How do you find out if the correlation is significant when you have more than two groups? The formula in your video is just for two groups. Thanks again.
@@researchwithfawad Sir I have the same question . Thank you for the response. But in that case how to calculate z observed which represent the statistical significance results?
That was a great explanation! I noticed in this example that Pearson Correlation for the female group was found to be nonsignificant. But you still proceeded with comparing the two correlations. Is it correct to compare significant and insignificant correlations using this method? Thank you in advance.
Thanks for your interest. The comparison s based on yoir Hypothesis and what are the objectives of your study. If the objective is to compare correlation between male and female respondents then you should have it in interpretation, even if they are insignificant.
Hello fawad sir. Actually I have a doubt I have two groups (married women and lone women) and I have to find correlation between these two groups with psychometric factors ( total 17 variables). Total data size is 30 (For married women I have 15 responses and for lone 15 responses) and I’m not understanding how to interpret it. Please help me out with this
Thanks for the video Fawad Latif. I'm wanting to know, say hypothetically there is a significant difference between the two correlation values (as in your video). What can we conclude from this? Is it right to say, therefore, that gender is a moderating variable?
@@researchwithfawad thanks for the swift reply! Does it need to be determined that it's a significant difference in order to say it could be a moderating variable? Or, could you say this just by observing that one correlation is significant and one correlation is not, without necessarily going through the process you show here?
Very concise explanation with appropriate example. Thanks a lot!
Thanks for watching.
Thank you very much from Egypt 🇵🇰🇪🇬 detailed, precise, right to the point, short, & informative.
Glad it was helpful!
Thanks sir for explaining so nicely
Thanks for watching.
This was so helpful !! You explained it in such simple terms with a good example. Thanks so much !
Thanks. I am glad you liked it
Great video! My first time ever coming across this concept!
I am glad you liked it.
Thank you for the video! i have a question, I have control and experimental groups, the factor which i applied on the experimental group affecting the two studied variables almost equally, is it good idea to combine the control and experimental groups in one data set and see the correlation between the two variables? (i have small sample size so the combination of control and experimental groups will give my study more power)
Thanks for watching. If combining doesn't hurt the objectives of your study,. You can, as there are no significant differences between the groups.
Thank you so much for the easy-to-follow explanations! great video!
Is it also possible to run this group-wise correlation analysis on repeated measure data? to see if the correlation between 2 variables is significantly different between conditions?
I assume we should maybe calculate correlation for each subject but I`m confused about the rest.
Thank you in advance
Yes, create a variable with pre and post values and then run the group wise correlation
@@researchwithfawad Great, Thanks a lot!
Greate video. Is it possible to do group wise correlation when you have four groups, for instance 4 different age groups? Thanks.
Thanks. I am glad you liked it. Please split your data file by groups and then run the correlation between variables and you will see the output in groups.
@@researchwithfawad Thank you for the answer. How do you find out if the correlation is significant when you have more than two groups? The formula in your video is just for two groups. Thanks again.
@@researchwithfawad
Sir I have the same question . Thank you for the response. But in that case how to calculate z observed which represent the statistical significance results?
That was a great explanation!
I noticed in this example that Pearson Correlation for the female group was found to be nonsignificant. But you still proceeded with comparing the two correlations. Is it correct to compare significant and insignificant correlations using this method?
Thank you in advance.
Thanks for your interest. The comparison s based on yoir Hypothesis and what are the objectives of your study. If the objective is to compare correlation between male and female respondents then you should have it in interpretation, even if they are insignificant.
Hello fawad sir. Actually I have a doubt I have two groups (married women and lone women) and I have to find correlation between these two groups with psychometric factors ( total 17 variables). Total data size is 30 (For married women I have 15 responses and for lone 15 responses) and I’m not understanding how to interpret it. Please help me out with this
Please watch
ruclips.net/video/zflP716yPsA/видео.html
Hi, Great Video! Can you please tell how can we statistically test this difference in correlations in SPSS or in R. Thanks!
Thanks. I am glad you liked it. Please use this calculator.
www.danielsoper.com/statcalc/calculator.aspx?id=104
Here is a video on interpretation
ruclips.net/video/PiafWyZxdSg/видео.html
Thanks for the video Fawad Latif. I'm wanting to know, say hypothetically there is a significant difference between the two correlation values (as in your video). What can we conclude from this? Is it right to say, therefore, that gender is a moderating variable?
Yes, Gender can be a moderating variable if there are differences in correlation between the groups
@@researchwithfawad thanks for the swift reply! Does it need to be determined that it's a significant difference in order to say it could be a moderating variable? Or, could you say this just by observing that one correlation is significant and one correlation is not, without necessarily going through the process you show here?
Yes, the significant difference is helping predict that gender is actually moderating the relationship
@@researchwithfawad Makes sense - Thank you!
Sir, I have one suggestion. Please share your slides in description of your video so that we can download it.
Inshaa allah soon. Thanks
Great Video Sir! Is it possible do the same procedure with Spearman?
Yes, you can do the same.
@@researchwithfawad Thank you very much
Can we use PLS for this analysis?. thank you
You can get Latent Variable correlations when you run PLS-SEM Algorithm, under Latent Variable Section, see latent Variable Correlation Tab.
@@researchwithfawad thank you so much
sir how we can calculate the correlation between two imdependent groups having different sample size
What is the size of each group?
what about when there are more than 2 groups?
Thanks for watching. Same procedure, you will need to split the file by groups and run the correlation.
Hi Sir , If it is possible to give a series numbers to the videos to be ordered.Thanks
Noted
Sir kindly Zoom the SPSS file while explaning. It is not visible to us
If you are watching on your mobile, please click full screen. I will make sure that i zoom in my other videos. Thanks for the suggestion.
how to check if the difference is significant ?
You can use this calculator
www.danielsoper.com/statcalc/calculator.aspx?id=104