Thank you for all your JASP tutorials! I'm using JASP for my bachelor thesis in legal psychology as an affordable alternative to SPSS and wouldn't have been able to learn it that quickly without your videos (and time is of the essence). So your efforts are very much appreciated.
hi, i need major help with how to examine the dimensionality of the data (bear in mind that although the intention was to develop two scales, it is possible that the 30 items measure more than two major traits or dimensions) how do i do this
Great Teaching,!.. ❤️May I ask...Does Uniqueness in Factors matter???.. I've seen your uniqueness values abOve 0.4... Do I have to remove all the questions that Have below 0.4 value in the Uniqueness as I do The Exploratory Factor Analysis???.. Thank you💙
This is a convention among statisticians -- .40 is seen as a good level for an item to be a good contribution to the factor. Items below that value don't contribute much to the factor, so they can likely be removed. If you don't remove them, nothing much changes, but you might get questions as to why they're still there
good day, alexander, and thank you for the tutorial! if i'm allowed to ask a question, i have one question. if i test my data from multidimensional inventory with EFA, should i test the data's reliability per its dimension or with the factor from the EFA result? thank you in advances!
Thank you for your videos Alexander! Could you please make a tutorial about how to perform Confirmatory Factor Analysis in JASP using a grouping variable, for example Gender as a grouping variable. Thank you!
Sure. I'm not sure how well that will work, but I can give it a shot. I am not super well-versed in all the measurements/fit indices for CFA, but I'll see what JASP has to offer on this front.
Hi, and thank you for the informative video. I was wondering what the scores under "cumulative" under "factor characteristics" tells us? If I understood it correctly the proportion var. tells us how much of the modell is explained by the factors. But I am not sure about the cumulative. Anyway, thank you for the video
While you *can* perform an FA with nominal data, it won't look good. This is because an FA is a matrix of Pearson correlations, which you cannot use nominal data with, anyway. Thus, I don't recommend. If you are looking for nominal correlations, you want polychoric, but JASP can't do that.
"Explained variance" is not an output but rather how you interpret correlations and factor loadings. So it's just something I say when talking about the results!
Thank you for all your JASP tutorials! I'm using JASP for my bachelor thesis in legal psychology as an affordable alternative to SPSS and wouldn't have been able to learn it that quickly without your videos (and time is of the essence). So your efforts are very much appreciated.
Good, it works for me. If the original dataset is available to reproduce outputs, please let us know.
Thank you for the tutorial. Is there a tutorial that explains Regularized Exploratory Factor Analysis (REFA)? Thank You.
I’m not familiar with that technique, so I am unsure if it is possible in JASP
hi, i need major help with how to examine the dimensionality of the data (bear in mind that although the intention was to develop two scales, it is possible that the 30 items measure more than two major traits or dimensions) how do i do this
This isn’t something I can help with without looking at your data and output, sorry
Great Teaching,!.. ❤️May I ask...Does Uniqueness in Factors matter???.. I've seen your uniqueness values abOve 0.4... Do I have to remove all the questions that Have below 0.4 value in the Uniqueness as I do The Exploratory Factor Analysis???.. Thank you💙
This is a convention among statisticians -- .40 is seen as a good level for an item to be a good contribution to the factor. Items below that value don't contribute much to the factor, so they can likely be removed. If you don't remove them, nothing much changes, but you might get questions as to why they're still there
@@AlexanderSwan Thanks❤️
good day, alexander, and thank you for the tutorial! if i'm allowed to ask a question, i have one question. if i test my data from multidimensional inventory with EFA, should i test the data's reliability per its dimension or with the factor from the EFA result? thank you in advances!
Always test reliability within dimensions before and after running your factor analysis.
@@AlexanderSwan thank you for your answer, it helps me a lot!
Thank you for your videos Alexander! Could you please make a tutorial about how to perform Confirmatory Factor Analysis in JASP using a grouping variable, for example Gender as a grouping variable. Thank you!
Sure. I'm not sure how well that will work, but I can give it a shot. I am not super well-versed in all the measurements/fit indices for CFA, but I'll see what JASP has to offer on this front.
Hi, and thank you for the informative video. I was wondering what the scores under "cumulative" under "factor characteristics" tells us? If I understood it correctly the proportion var. tells us how much of the modell is explained by the factors. But I am not sure about the cumulative. Anyway, thank you for the video
Cumulative usually sums to 100%
what to do if the variables are originally nominal?? and it cant be changed into scale :(
While you *can* perform an FA with nominal data, it won't look good. This is because an FA is a matrix of Pearson correlations, which you cannot use nominal data with, anyway.
Thus, I don't recommend. If you are looking for nominal correlations, you want polychoric, but JASP can't do that.
@@AlexanderSwan oh gosh I thought I wouldnt get a reply, thank you so much for this and you are an actual blessing
How do we interpret results tho
That’d be in another video made by someone else. I do minimal interpretation, rather here I just show users how to use the module.
Hey there! Thank you so much - this was very helpful!
Could you explain to me how to calculate a item-total-correlation in JASP?
I'm not sure where that function is in JASP. I'd have to look.
Helpful. Thank you.
thanks! where is the "explained variance"?
"Explained variance" is not an output but rather how you interpret correlations and factor loadings. So it's just something I say when talking about the results!
@@AlexanderSwan só, is not possible to get this information?
@@icarocosta4302 I'm not following your question.
@@AlexanderSwan that % of explained varience. Is not possible to get it from jasp?
@@icarocosta4302 oh I see. It is in the output as the load coefficients. Then you just use that to discuss variance
absolute legend
Great sir 👍 am waiting for this
Thanks
tq sir.. very usefull