Discriminant Analysis(grouping variables)(spss)(example)

#discriminantanalysis
#spss
#dependentandindependentvariables

[@Ed-tm3qc]

You are a very good teacher. You assumed students do not understand certain terms and explained them beautifully before moving on. This video is better than most videos I have seen on UA-cam because after watching it, I am confident in how to use Discriminant Analysis.

[@Ashulekha]

Thank you🙏

[@shadesoflifecareltd0415]

Finally!!! I have been searching for a simple method of calculating and interpreting discriminant validity. Thank you!!!! Now I can go to bed and continue putting my thoughts and responding to my research questions later.

[@Ashulekha]

Thank you

[@inthewild9886]

Thank you so much, after struggling for long you made it possible for me today. God bless you!

[@Ashulekha]

Thank you🙏

[@AdityaRaj-ek4uh]

awesome... after watching a lot of useless videos, this helped me out

[@Ashulekha]

Thank you

[@mbonezakabanda3280]

Thank you so much. I love your pedagogy to explain this topic step-by-step.

[@Ashulekha]

Thank you🙏

[@mountainclips5611]

Thank you maam, really helpful lecture

[@Ashulekha]

Thank you

[@saurabhyadav-nu3mj]

Thanks for the video madam, but just a suggestion, if you don't intend to explain all the output tables accurately then it's better to skip those parts rather than keeping them and not explaining what they are actually showing.

[@Ashulekha]

@@saurabhyadav-nu3mj ok Thank for suggestions i will take care these points in future

[@akshitabisht3635]

Very informational video thank you ma'am

[@Ashulekha]

It can be used in any decision making model.

[@drjdutta]

you have nicely explained the analysis. thank you madam.

[@Ashulekha]

Thank you🙏

[@nopenope5836]

Thank you for your video. It is really helpful. However, I have some questions, hope you could help me on this.
1) I have 7 indenpendent variables. When I ran the Tests of Equality of Group Means, only 4 of them show the sig. value < 0.05. From what I read, this means only those 4 variables has significant contribution to the discriminant model. THE QUESTION IS: Do I have to run the discriminant analysis again using only those 4 variables?
2) If not, how should I interpret the Standardized canonical discriminant function coefficients table? Do I only take into consideration the 4 variables only when assessing explanatory power.
3) For the Functions at group centroids table - How do we know if the discriminant score of he/she is falling to which side? Do we calculate the average to determine the neutral point, or always use 0 as the neutral point?
Hope you clear my confusion. Thank you again, your video has been very helpful.

[@mithunkundu5375]

Thank you Madam.. very informative..

[@Ashulekha]

Thank you🙏

[@maheshpujari2020]

It’s really helpful, Thank you madam

[@Ashulekha]

Thank you🙏

[@user-tf2wp3zt2s]

Thanks for this video.

[@Ashulekha]

Thank you🙏

[@shubham5054]

Very nyc mam .. usefull ❤️

[@oshi_sristhi]

Interpretations are not clear

[@jayeshsharma1268]

can you add your word doc as an attachment to the video so that it can be referred at last moment.

[@Ashulekha]

Sure I will attach

[@fathimasahira1896]

Where it is attached?

[@fathimasahira1896]

@@Ashulekhacan you send please

[@shameemmemon52]

maam what if the dependent variables measured on 05 point likerts scale? my independent variable is metric.

[@aparnashukla5234]

Ma'am if data is collected on likert scale for both dependent and independent variables, what should we use logistic regression or discrimant analysis

[@nopenope5836]

that should be linear regression, i suppose

[@jovetperez7992]

Do you have a soft copy of this presentation madam?

[@karanmokashi8339]

can you provide this data so we can perform this practical in SPSS .

[@Ashulekha]

Sure I will provide

[@shadesoflifecareltd0415]

Do you have one on concurrent validity?

[@nestidelfinhaerike5437]

why the precision of the discriminant function must be above 50%?

[@nopenope5836]

well I think in common sense, precision 50% is similar to a 50/50 choice. If the precision is below 50%, why would you waste time using that function if it's worse than doing a blind classification.