Thanks for the video! I have a question, does the linearity assumption for independent variables not apply when they are only of binary type? IV is Yes/no and Outcome is also Yes/No. Thank you so much!
Hi, sorry for late reply. Yes only continuous independent variables need to be tested for the assumption of being linearly related to the log odds. So any nominal (categorical) variables don't need to be checked in this way.
Thank you .your helpfull video.dear i have question .i do regression analysis my research ,but independent and dependent variables not significant and no normality .So plz tell me i do ,which analysis for my research 😁
Hye, thanks for your explanation, it helped me a lot, btw, i have a question regarding the binary logistic regression, is there any ways that i can contact you?
Hi there, may i know is outlier part of the assumption in binary logistic regression or is the relationship between logit continuous variables . Thank you
Hi, sorry for the late reply. Any continuous independent variable should be checked for linearity with the log odds. It's good practice to check for outliers but you might find some sources don't list it as an assumption, whilst others do. I think it's good to at least check, although it can be a complicated issue if you do have outliers and I would recommend reading the following article www.theanalysisfactor.com/outliers-to-drop-or-not-to-drop/
What happens when one of your interactions (Variable by LN_Variable) doesn't show up in the table? I put in 5 variables and their interactions with the log-odds, but only 4 show up. It also doesn't show up when I just add that one.
Wow, this is awesome. Thank you so much! Just a very practical question. How do you get that table so nicely in Word? When I paste it, either it is pasted like an image or as a very skewed table.
Glad it was useful. Sometimes you just have to try the various paste options until one works. it might depend what version of word/SPSS you have and whether using a Mac, but I didn't do anything special
Thanks for this amazingly informative video! I am currently using SPSS 24th version and I have 16 predictors, I got the same error "the expression ends unexpectedly". I couldnt solve it, can anyone help about this issue?
hi thanks for the lecture its really useful. by the way can i have the link to the data that you tested so that i can test it here as well and see if i can understand it from my end. thanks
Please I need this dataset you said you have to try this analysis out. Is it possible to get it from you on other social media platform? I really need it urgently. Thank you
Ma'am when I checking my assumption of outlier and applying CDF formula in that case it is showing "the expression ends unexpectedly" In this case, what can i do? I have 7 independent variables and 3 binary dependent variables.
Thank you for the video. I have 4 independent, continuous variables and I am following your explanation to check the outliers, but when I compute variable and enter the equation then ok, I got a message said the expression ends unexpectedly. I am not sure what’s the problem and I just wanted to to make sure that the number of variables do not have a problem with the options? Thank you again
@@knowhow3271 Thank you for your response. It is working know. I have another question and I would be greatly appreciated if you can help. I have identified two cases as outliers, when should I consider retaining or removing them?
@@shorouqaf5540 Sorry for the late reply. It's often hard to know, but this article gives a pretty good summary www.theanalysisfactor.com/outliers-to-drop-or-not-to-drop/
عرض مميز شكرا استادة لو تفضلتم بترجمة باقي الفيديوات الى اللغة العربية...واريد ان اسال هل يمكن ادخال كل متغير مستقل لوحده مع متغير التابع بمعنى يتنبؤ بالنتيجة حسب كل متغير لوحده
Кино
![XO (Only If You Say Yes) - ENHYPEN エンハイプン 엔하이픈 [Music Bank] | KBS WORLD TV 240712](http://i.ytimg.com/vi/wBT1bKKwPTo/mqdefault.jpg)
So helpful thank you!
Thanks a lot!
Thanks a lot 👍
Regarding the third assumption, what do I do when I have a continuous variable with lots of zeros?
Hi! What do we do when the assumption of log odds have been violated?
Thanks for the video! I have a question, does the linearity assumption for independent variables not apply when they are only of binary type? IV is Yes/no and Outcome is also Yes/No.
Thank you so much!
Hi, sorry for late reply. Yes only continuous independent variables need to be tested for the assumption of being linearly related to the log odds. So any nominal (categorical) variables don't need to be checked in this way.
Thank you .your helpfull video.dear i have question .i do regression analysis my research ,but independent and dependent variables not significant and no normality .So plz tell me i do ,which analysis for my research 😁
Hye, thanks for your explanation, it helped me a lot, btw, i have a question regarding the binary logistic regression, is there any ways that i can contact you?
Hi there, may i know is outlier part of the assumption in binary logistic regression or is the relationship between logit continuous variables . Thank you
Hi, sorry for the late reply. Any continuous independent variable should be checked for linearity with the log odds. It's good practice to check for outliers but you might find some sources don't list it as an assumption, whilst others do. I think it's good to at least check, although it can be a complicated issue if you do have outliers and I would recommend reading the following article www.theanalysisfactor.com/outliers-to-drop-or-not-to-drop/
What happens when one of your interactions (Variable by LN_Variable) doesn't show up in the table? I put in 5 variables and their interactions with the log-odds, but only 4 show up. It also doesn't show up when I just add that one.
Wow, this is awesome. Thank you so much! Just a very practical question. How do you get that table so nicely in Word? When I paste it, either it is pasted like an image or as a very skewed table.
Glad it was useful. Sometimes you just have to try the various paste options until one works. it might depend what version of word/SPSS you have and whether using a Mac, but I didn't do anything special
@@knowhow3271 Just the old-fashioned experimentation 😉. Got that, thanks!
@@shannawielinga8207 We can use menu in SPSS... "File->Export" to export the output table to Excel or word format or any other format.
Thanks for this amazingly informative video! I am currently using SPSS 24th version and I have 16 predictors, I got the same error "the expression ends unexpectedly". I couldnt solve it, can anyone help about this issue?
Same here. Ended unexpectedly :(
Try 1 - CDF.CHISQ
hi thanks for the lecture its really useful. by the way can i have the link to the data that you tested so that i can test it here as well and see if i can understand it from my end. thanks
Please I need this dataset you said you have to try this analysis out. Is it possible to get it from you on other social media platform? I really need it urgently. Thank you
When I tried to compute the new 'Probability' variable SPSS tells me 'The expression ends unexpectedly'?
It works if I don't include -1 at the start, but does that still give the correct data?
@@djmtm1 sorry for the late reply. Which version of SPSS are you using? This might be a question for the SPSS team, you do need -1.
@@djmtm1 Try reversing the minus to be after the one as in the following equation
1- (CDF.CHISQ (MAH_1, write here your independent variable number)
Ma'am when I checking my assumption of outlier and applying CDF formula in that case it is showing "the expression ends unexpectedly"
In this case, what can i do?
I have 7 independent variables and 3 binary dependent variables.
Thank you for the video. I have 4 independent, continuous variables and I am following your explanation to check the outliers, but when I compute variable and enter the equation then ok, I got a message said the expression ends unexpectedly. I am not sure what’s the problem and I just wanted to to make sure that the number of variables do not have a problem with the options? Thank you again
As far as I'm aware it should work with four independent variables. Can I double check that all four of your variables are scale/continuous?
@@knowhow3271 Thank you for your response. It is working know. I have another question and I would be greatly appreciated if you can help. I have identified two cases as outliers, when should I consider retaining or removing them?
@@shorouqaf5540 Sorry for the late reply. It's often hard to know, but this article gives a pretty good summary www.theanalysisfactor.com/outliers-to-drop-or-not-to-drop/
I got the same issue and how to resolve it?
@@tharakadealwis6234 Start the equation with 1- instead of -1 then follow the same instructions.
hi can i have a copy of your handbook please and the dataset too
عرض مميز شكرا استادة
لو تفضلتم بترجمة باقي الفيديوات الى اللغة العربية...واريد ان اسال هل يمكن ادخال كل متغير مستقل لوحده مع متغير التابع بمعنى يتنبؤ بالنتيجة حسب كل متغير لوحده