Hi, thanks for this video, really informative. So once z-values are created can I proceed with those same z-values for further analysis i.e. Factor Analysis, Normality Testing, Regression analysis, etc?
Hi, Thanks for your very helpful video. I would like to know if we can standardize any type of variables (NOMINAL, ORDINAL, SCALE) or there are any restrictions?
HI Boshra. Standardization in this context refers to continuous variables. It's just the transformation of (Variable - Mean) / SdDev. So original and nominal variables don't have means, meaning we can't do that. Scales can come in many forms, and if they are continuous in nature, you can certainly standardize them.
If we're looking to the transform the Z-values, can we just absolute them ? transforming the z-values with negatives results in a 0 using Ln, SQRT, and etc..
I have a question. I have a test with different dimensions and different scales for each dimension, but I need the total value (the sum of the different dimension) so how can I proceed, sum or mean? please help me
@@DataDemystified please. It’s just a simple sum? I have seen only one example and this person sum and then divide (mean). And another question, how do I scale the new result, in “good” “bad” “excelente” help me please. Can i send u an email?
@@junioriparraguirremaguina8586 It entirely depends on your scale. If it's a published scale, just follow what they did. If it's one you created, you should know how to combine it based on whatever you're trying to accomplish. Adding is fine. Averaging is fine. Just depends on the idea you are testing.
You are the best! Thank you for making a clear concise video on the select cases options! I knew what I needed was in there somewhere!!!
Very clear information. Thank you!
Thank you so much for this video. Yout explanation is extremely clear and helpful
Really glad I could help!
Thanks a lot. It was extremely useful
Really glad it was useful!
Hi, thanks for this video, really informative. So once z-values are created can I proceed with those same z-values for further analysis i.e. Factor Analysis, Normality Testing, Regression analysis, etc?
Yup!
Hi, Thanks for your very helpful video. I would like to know if we can standardize any type of variables (NOMINAL, ORDINAL, SCALE) or there are any restrictions?
HI Boshra. Standardization in this context refers to continuous variables. It's just the transformation of (Variable - Mean) / SdDev. So original and nominal variables don't have means, meaning we can't do that. Scales can come in many forms, and if they are continuous in nature, you can certainly standardize them.
thank you
If we're looking to the transform the Z-values, can we just absolute them ? transforming the z-values with negatives results in a 0 using Ln, SQRT, and etc..
I have a question. I have a test with different dimensions and different scales for each dimension, but I need the total value (the sum of the different dimension) so how can I proceed, sum or mean? please help me
Once you standardize, you can sum across your different measures. Standardization puts them all on the same scale.
@@DataDemystified please. It’s just a simple sum? I have seen only one example and this person sum and then divide (mean). And another question, how do I scale the new result, in “good” “bad” “excelente” help me please. Can i send u an email?
@@junioriparraguirremaguina8586 It entirely depends on your scale. If it's a published scale, just follow what they did. If it's one you created, you should know how to combine it based on whatever you're trying to accomplish. Adding is fine. Averaging is fine. Just depends on the idea you are testing.