some researchers are trying to explain things but ended up making it worse for you. But this guy is totally different from them. very easy, understandable and clear-cut examples. Salute you sir, God bless you.
This video really helps to understand the concept of correlation, it's interpretation and reporting as captured in the thumbnail. This is an awesome journey for me in rigorous quantitative research! Kudos!
Thank you so much for sharing this very helpful content. It's really a struggle interpreting the data I have analyzed since I was not able to get a proper lesson on Statistics due to the pandemic. I'm so glad I found it. More power.
I have been passively searching for correlation matrix and correlation with level of significance, now i almost understood alot, lots of thank😊😍 It will be far better and helpful if you perform same analysis on RStudio 😍 Please respond to this comment😊
Superbly described. Really very helpful. It is flawless however, it would be great if scatter plot graph is also explained in an addition. Stay blessed.
Sir since am dealing with macroeconomic variables. I transformed them into log form.. Should I perform correlation matrix among variables at log level form or log differenced form
May I know why did you use mean of each item instead of the total (sum)? Right now I'm very confused about this one. I'm trying to find correlation between self-efficacy and speaking performance yet I found several videos mentioning that I need to put total score from both questionnaire and speaking performance score not the mean...
Hey as there are multiple variables being assessed in the correlation matrix what will be the Pearson's coefficient value that we will write in results as there are multiple.
The values below the diagonal are the same as above. If there are multiple variables, there are multiple correlation coefficients. You will write results for all correlations of interest.
Dear researchers, I have MSR (meta cognitive self regulation) learning strategy as independent variable while Students' Score (Students'GPA) is my dependent variable. MSR is on five point Likert scale while for Students'GPA each student put his own GPA on the questionnaire in form of digits like 2 , 2.1, 2.7, 2.3, 3, 3.6, 4 etc. The students score is in random form. Each student put his own score whatever he got in the previous semester. Now my question is which kind of correlation should I use? Can I go for the Pearson correlation? How to handle with the Students'GPA variable? The sample size is 300 students which means that I have 300 Students'GPAs. It's a confusing whether I should consider the Students'GPA as ordinal, interval or ratio variable? Which kind of correlation should I go for? Please, guide.
Yes there are. Both Spearman and Correlation have assumptions with respect of scales of measurement. There are others as well like linear relationship and outliers.
@@researchwithfawadthank u so much. More question :D, any tutorial ini this Chanel about statistical asumption in correlation and regression ? Thanks 👍
If it is insignificant, you would need to provide justification in your discussion section as to what could be the reasons that the relationship is insignificant. Look for any existing research that found insignificant results or any theory that could explain the insignificance.
![Pearson correlation [Simply explained]](http://i.ytimg.com/vi/k7IctLRiZmo/mqdefault.jpg)
![[TH] VCT Pacific Stage 2 - Week 3 Day 3 // DFM vs PRX | DRX vs TLN](http://i.ytimg.com/vi/il3Twexat3A/mqdefault.jpg)
some researchers are trying to explain things but ended up making it worse for you. But this guy is totally different from them. very easy, understandable and clear-cut examples. Salute you sir, God bless you.
Dear Osman.
I am indeed honored to receive such appreciation. I am glad the video was helpful.
This video really helps to understand the concept of correlation, it's interpretation and reporting as captured in the thumbnail. This is an awesome journey for me in rigorous quantitative research! Kudos!
Glad it was helpful!
Most effective video, I have found ever since.
Thanks. I am glad it was helpful.
This is the most helpful videos I’ve watched so far. Thank you so much!!!!!!!!
Glad it was helpful!
tor mayere bap
This what I'm looking for, explain from intro until finish, thank you!!!
Glad it was helpful!
the best channel that actually worked for me... thankyou so much sir
Glad to hear that
Thanks so much, a wonderful super explanation
Pleasure. I am glad you liked it.
Thank you so much for sharing this very helpful content. It's really a struggle interpreting the data I have analyzed since I was not able to get a proper lesson on Statistics due to the pandemic. I'm so glad I found it. More power.
Thanks. I am glad it was helpful.
P
This video is by far the best. Thank you so much.
Glad it was helpful!
amazingly done the formating of table. Many thanks
You are welcome!
Sir really thanks for your video.
Pleasure. I am glad you liked it l. Do circulate the channel in your research circle.
WELL DONE .AWESOME.GREAT. your videos are very comprehensive. you are doing a very good job. mashAllah.
Thanks a lot. I am happy to know the videos are helpful.
@@researchwithfawad i wish my analysis get done through ur guidance. kash kash.
Inshaa allah
Thank u so much sir for describing it in an easy way. It helped me alot. Thank u again.
Happy to help.
I have been passively searching for correlation matrix and correlation with level of significance, now i almost understood alot, lots of thank😊😍
It will be far better and helpful if you perform same analysis on RStudio 😍
Please respond to this comment😊
Thanks. I m glad the video was helpful. Soon there will be lectures on R.
Great, neat explanation! Thanks
Thanks. I am glad it was helpful
Most helpful teacher ever. thankyou so much
Glad it was helpful!
Wow amazing, it helped me alot!
Thanks. Glad it helped.
Superbly described. Really very helpful. It is flawless however, it would be great if scatter plot graph is also explained in an addition. Stay blessed.
Thanks. I am glad you liked it. Suggestion noted.
Thank you so much, sir. it was a helpful session
Always welcome
thank u so much for making it so easy
Pleasure. I am glad you liked it
Sir since am dealing with macroeconomic variables. I transformed them into log form.. Should I perform correlation matrix among variables at log level form or log differenced form
Please see the discussion under the following link.
stats.stackexchange.com/questions/232209/log-transformation-and-correlation
May I know why did you use mean of each item instead of the total (sum)?
Right now I'm very confused about this one. I'm trying to find correlation between self-efficacy and speaking performance yet I found several videos mentioning that I need to put total score from both questionnaire and speaking performance score not the mean...
Take mean, as the objective is to understand the overall perception of the construct.
@@researchwithfawad
I see, thank you so much...
Hey as there are multiple variables being assessed in the correlation matrix what will be the Pearson's coefficient value that we will write in results as there are multiple.
The values below the diagonal are the same as above. If there are multiple variables, there are multiple correlation coefficients. You will write results for all correlations of interest.
@@researchwithfawad Thank youuu!!!
Dear researchers, I have MSR (meta cognitive self regulation) learning strategy as independent variable while Students' Score (Students'GPA) is my dependent variable. MSR is on five point Likert scale while for Students'GPA each student put his own GPA on the questionnaire in form of digits like 2 , 2.1, 2.7, 2.3, 3, 3.6, 4 etc.
The students score is in random form.
Each student put his own score whatever he got in the previous semester. Now my question is which kind of correlation should I use? Can I go for the Pearson correlation? How to handle with the Students'GPA variable? The sample size is 300 students which means that I have 300 Students'GPAs. It's a confusing whether I should consider the Students'GPA as ordinal, interval or ratio variable? Which kind of correlation should I go for?
Please, guide.
Yes you can use pearson correlation analysis. As your IV is metric whereas DV is continuous.
Sir, if the correlation is one, does it mean that both variables are measuring same thing?
Yes, you can say that.
I was confused on the part where .000 is less than to .0001 and you concluded that it was "significant"? Could you elucidate it to me? Thank you 💓
If you compare, mathematically .000 is kess than .001. If the sig value is less than .05, the result is significant
@@researchwithfawad Thank you.
Hi, Sir. Can I ask if it is possible in Pearson correlation to have one IV and two DV's? How do you interpret that?
Correlation is not about IVs or DVs, itnis about interrelationship. Just add as many variables you want and it will give you a matrix.
@@researchwithfawadthanks! I am glad I saw your video as I did not have a proper lesson about this topic
Thanks a lottttttttt
Pleasure. I am glad you liked it.
My Pearson value is .001, and that suggests no relation between both the variables, right?
Yes, Pearson coefficient as low as this shows no relationship
How about statistical asumption in the correlation analysis ? Is there nothing statistical asumption in correlation analysis ?
Yes there are. Both Spearman and Correlation have assumptions with respect of scales of measurement. There are others as well like linear relationship and outliers.
@@researchwithfawadthank u so much. More question :D, any tutorial ini this Chanel about statistical asumption in correlation and regression ? Thanks 👍
why do we need to write Mean(subject,subject1) instead of subject + subject + ?? whats the difference..... can you explain sir?
Can you elaborate on the question please
Hello Sir, May I know of the reference of the Size of Correlation Interpretation table, please. Thank you
Hi
You can see Table 1 in the article
www.ncbi.nlm.nih.gov/pmc/articles/PMC3576830/
what test can i do to test the impact of an IV on the DV
Please use regression
th-cam.com/video/GQP47ijt4LI/w-d-xo.html
What is the app your using coz I see it’s not excel …what are you using please
SPSS
sir if the value is weak positively should we accept or reject the hypothesis?
Acceptance or rejection is based on sig. Value. If value is greater than. 05, reject the hypothesis.
@@researchwithfawad thank you coach.
Sir why it has been used p < .001 and nt p < .01 or p < .05?
Because the p value is 0.000. This means the relationship is significant even at 0.1%
In first column 1 doesn’t have +_ sign, it must have both signs. Please correct, otherwise it shows only positive correlation
When there is no sign, it means positive relationship, if there is a negative sign with it, its negative relationship.
@@researchwithfawad then why not positive and negative sign with 1’ as you mentioned in description of 1 positive/negative correlation
sir pls guide me on spearman rank correlation test,pls sir
Part of this video is on spearman correlation
th-cam.com/video/I36aU7V865k/w-d-xo.html
@@researchwithfawad thanks a lot sir. Sir full course on amos want to learn sir. Pursuing phd.pls help.sir
what if my data shows that it isnt statistically significant?
can i receive a reply ASAP the deadline is tomorrow hehe...
If it is insignificant, you would need to provide justification in your discussion section as to what could be the reasons that the relationship is insignificant. Look for any existing research that found insignificant results or any theory that could explain the insignificance.
@@researchwithfawad Thank you so much u saved my life
sir pls guide me a full course on AMOS sir pls
I will soon be starting video on AMOS. If you are in a rush, you can search for a course on Udemy. They have some good courses
@@researchwithfawad sir i ll.wait for your detailed explanation sir
Sir really thanks for your video.
Thanks. I am glad you liked it