I'm one video to finish this course on JASP, and you Sir are an amazing teacher! Thank you for sharing your knowledge on a very easy and digestible way. P.S. Bonus scene with Mickey is adorable! Saludos desde Sonora, México! :)
Thank you so much for commenting about Mickey...I was making those videos early in quarantine and spending a lot of time with the dogs. He is sleeping (unseen) on the chair behind me in all of the videos.
Thank you so much for your clear explanation and the examples of using SPSS operations. It helped me a lot. Presenting the JASP videos is a valuable idea to support effective stat analysis.
Hi, thank you for "classes" they've been really helpful. I know this is a long shot as this video is 3 years old but I wanted to give it a try. Do you know how to recode a variable into 2 variables? In SPSS that option is easy (Transform, then, Recode Into Diff Variables) but I'm having trouble finding that option in JASP. One way could be creating a new variable and coding the values as I need them with R code? Many thanks in advance!
Thank you very much for your clear explanations. It very helpful. Sir, I am having some issues in creating a new variable. When I click the compute column the JASP window is closing. I couldn't find a solution. I am using JASP in Ubuntu. Could you please help me regarding this issue.
oh wow...that is a problem that I have not heard of before. I don't know Linux well, but it sounds like a software problem. I wish I could help but I don't have any good advice. Good luck
Would these new computed variables be highly correlated (ergo, redudant) with the initial ones? After all, they are a linear combination of the initial variables.
If each of the initial variables were identical, then the composite/computed variable/mean would be 100% redundant. If the initial variables were completely different, then there would be very little redundancy. So, yes, there would be high intercorrelation between the items and their composite, which we would report as high reliability among the items. So that would be a good thing.
I love your enthusiasm! Thank you for putting all of these videos together. They're amazing!
I'm one video to finish this course on JASP, and you Sir are an amazing teacher! Thank you for sharing your knowledge on a very easy and digestible way. P.S. Bonus scene with Mickey is adorable!
Saludos desde Sonora, México! :)
Thank you so much for commenting about Mickey...I was making those videos early in quarantine and spending a lot of time with the dogs. He is sleeping (unseen) on the chair behind me in all of the videos.
Thank you. It is clear statistics is your passion.
Thank you so much for your clear explanation and the examples of using SPSS operations. It helped me a lot. Presenting the JASP videos is a valuable idea to support effective stat analysis.
You're very welcome! Thanks for commenting.
Très clair ! Merci
Hi, thank you for "classes" they've been really helpful. I know this is a long shot as this video is 3 years old but I wanted to give it a try. Do you know how to recode a variable into 2 variables? In SPSS that option is easy (Transform, then, Recode Into Diff Variables) but I'm having trouble finding that option in JASP. One way could be creating a new variable and coding the values as I need them with R code?
Many thanks in advance!
Hello I don't find the black cross on my data. Does someone know why ?
thank you
Hello, Doc! May I ask how to put 2 variables in only one bar graph side by side rather than having them separate in JASP? :D
Very nice presentation
Thank you! Cheers!
Hi, Mickey!
Thank you very much for your clear explanations. It very helpful. Sir, I am having some issues in creating a new variable. When I click the compute column the JASP window is closing. I couldn't find a solution. I am using JASP in Ubuntu. Could you please help me regarding this issue.
oh wow...that is a problem that I have not heard of before. I don't know Linux well, but it sounds like a software problem. I wish I could help but I don't have any good advice. Good luck
Would these new computed variables be highly correlated (ergo, redudant) with the initial ones? After all, they are a linear combination of the initial variables.
If each of the initial variables were identical, then the composite/computed variable/mean would be 100% redundant. If the initial variables were completely different, then there would be very little redundancy. So, yes, there would be high intercorrelation between the items and their composite, which we would report as high reliability among the items. So that would be a good thing.
Extra like for dog kisses.
It was really fun to make these videos during lockdown when I was working at home with the dogs. Good memories