# Multinomial logistic regression using SPSS by G N Satish Kumar

Multivariate Data Analysis : Multinomial Logistic Regression
Multinomial Logistic Regression is used to analyze when the dependent data is categorical and having more than 2 levels.
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[@roshnyunnikrishnan2896]

Very clearly explained. Many Thanks Sir

[@aashimaarya7194]

thankyou sir you helped me in my thesis at last minute ... so grateful for your knowledge !

[@mitochondria2829]

Professor, i am realllllly reallllly thankful to you for this explanation and saved my research desertions. i really want to kiss your hands in respect for this great lecture and explanation. deep from my heart, my respect and love for you

[@MyEasyStatistics]

Thank you so much.

[@abdishakurdiriye4673]

hi @My Easy Statistics, thanks for the helpful videos. i really apreciate. i want to ask you, how the marginal effect when using Multinomial logit, i mean how to get it. another question is there a difference betwee binary and Multinomial logit models and binary and Multinomial logistic regression analysis

[@dr.srinivaskarimujja9883]

Thank you sir, it's clear, complete and easy to understand

[@habteamare8553]

thank you for this best vidoes

[@dr.rupammukherjee9766]

Video is very helpful and easy to understand. Thank you very much 👍

[@sabrinazaman5158]

Sir, this is a very informative video. Thanks for providing this

[@gizemiremkinikli1280]

Thank you for this very easy to understand video:))

[@peyushgupta3310]

Nice video sir🙏

[@paulstutorialsdr.mohammada6974]

Thanks Really helpful

[@simenyasikhulu]

Wonderful instruction of the subject.

[@MyEasyStatistics]

Thank you

[@aidash6111]

Thank you!

[@md.ashfikurrahman2202]

very very thank you, really awesome. do you have any videos of Conditional logistics regression

[@lailawardatulazizah1301]

thank you very much :)

[@koushikbanerjee7166]

Sir please show us the data arrangement for an ordinal and nominal variable in data view, it will be helpful for.

[@user-lq6if5wx5e]

If possible can you write the null hypothesis of Chi Square goodness of fit table by which we will be either accepting or rejecting the null hypothesis. Sir, can you also tell me the interpretation difference between categorical and continuous independent variables in multinomial logistic regression

[@ohudyansary]

thanks sir

[@petersathish]

Thank You

[@workinehgebre182]

thanks!

[@primaromadhona6106]

Hi, do you have any idea, what type of regression that suitable for the small number of data? the aim of the analysis is to see how is the effect of an independent variable to the dependent variable. Thank you

[@MyEasyStatistics]

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[@pc2729]

Thank you very much. Is it possible to also do this, if the independent variable has more than 2 outcomes?

[@sreevidyasankarasubramania733]

Respected Sir, Thankyou for explaining the outputs of multinomial regression model in such an easy way. My Pranams to you. Respected Sir, I have some doubts regarding how to write the values got in parametric expression. I have included the values of B, Std. Error, Wald, DF, Sig. for those independent variables that are significant. But, I see in most of the research papers, at the end of the table there is Constant written at the last, where from are these values got. constants

[@zombieman7584]

Thanks a lot for the very helpful video. But aren't we suppose to interpret the parameter estimates using the exponential (B) instead of only the coefficient (B)?

[@akashmallick4596]

Yes. You are right

[@m1stylark]

Hi sir.I really, really need your help and advice. May i share my spss problem with you? i have this warnng message : "Unexpected singularities in the Hessian matrix are encountered. This indicates that either some predictor variables should be excluded or some categories should be merged. The NOMREG procedure continues despite the above warning(s). Subsequent results shown are based on the last iteration. Validity of the model fit is uncertain'. I am not sure how to troubleshoot this sir. I am a newbie. Google, youtube, researchgate and reddit could not help me =(

[@meghatiwari4908]

Thankyou for the vedio sir..Please tell how we do it when we have more numbers of variables as In body mass index..Sir please do reply

[@henrynnajiuba9591]

Thank you for the video. I note you were reporting the 'B' values instead of Exp(B). In binary logistic regression I've always taken the Exp(B) to be the actual odds ratios that I report in my papers along with the 95% confidence interval. Does this still remain true for multinomial regression?

[@gd4677]

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[@pravinraj5963]

sir, I am running multinominal logistic regression and the likelihood ratio (chi square) is insignificant, but the predictor is significant in the parameter estimates. Should i have to interpret them or i have to avoid them in my analysis?

[@sreeranjiniarjunan6621]

Sir, really the vedio is very informative . sir I have one doubt in the out put.... following is the warning message..... " There are 88679 (46.1%) cells (i.e., dependent variable levels by subpopulations) with zero frequencies". sir pls clarify it

[@sreevidyasankarasubramania733]

Thankyou sir for your clear explanation. I have a doubt can I consider level of education as a dependent variable with respect to other independent variables like utility of a given product, age etc.,. And how many independent variables can be considered at a time in multinomial regression analysis.

[@MyEasyStatistics]

Education level can not be a dependent variable and there is no limit for number on independent variables.

[@user-ji8jf4vo5m]

Thank you sir for clear explanation.but i have one question i running multinomial logistic regression likelihood ratio(chi square) is significant but the parameter is insignificant ?

[@MyEasyStatistics]

a significant likelihood ratio test indicates that the model as a whole fits the data well, but individual parameter estimates may still be statistically insignificant for various reasons. It's essential to interpret the results of multinomial logistic regression in the context of the research question, considering both the overall model fit and the significance of individual coefficients. Additionally, examining effect sizes and confidence intervals can provide valuable insights into the practical significance of the results.

[@noreenkanwal9605]

Please mention what are the assumptions and diagnostic tests for multinomial logistic regression

[@arfabadar3652]

Yes please

[@damnpravinrockzz]

Sir I have few doubts. Please help me. Doubt number 1: In my study, under "Goodness of fit" Pearson is significant and Deviance is non significant. In this case should I have to continue my analysis or not Doubt number 2: after pseudo r square table, there is likelihood ratio test. In that likehood ratio test, few of my variables are significant and few are not significant. So , for further analysis( parameter estimates) do I have to consider only variables which came significant in likelihood ratio test??? Please do help me Thank you

[@mehalrathore]

Can we have this dataset?

[@zeynepungorkurt6072]

can you mail me this data set?

[@sbrafi2702]

can i make dummy by myself in spss ?

[@MyEasyStatistics]

+SB RAFI yes

[@MyEasyStatistics]

+SB RAFI yes

[@jagdishsharma1719]

Sir, Please explain how to interpret Standard Error and Confidence Interval. Thanks

[@MyEasyStatistics]

the Standard Error quantifies the precision of an estimate, while the Confidence Interval provides a range of plausible values for the true population parameter. Both SE and CI are crucial for understanding the reliability and uncertainty associated with statistical estimates derived from sample data.

[@jagdishsharma1719]

@@MyEasyStatistics Sir, Thanks 😊

[@saddamabdul1690]

Can i have the data Sir?

[@Tomjrf]

relative risk ratios

[@ambreenaslam2494]

Sir what if someone needs this data set of your lectures

[@MyEasyStatistics]

Please send your email I'd. I will forward the data set

[@ambreenaslam2494]

@@MyEasyStatistics [e-mail]

[@drshaguftakhan8387]

great lecture...! i need to consult u for my research problem.....kindly share ur e-mail id sir...

[@MyEasyStatistics]

+Shagafta Khan [e-mail]

[@MyEasyStatistics]

+Shagafta Khan [e-mail]

[@MyEasyStatistics]

[e-mail] , [e-mail]