Binary Logistic Regression Analysis using SPSS: What it is, How to Run, and Interpret the Results.

[@richardbediako9597]

PLEASE IN FACT, YOUR VIDEO IS REALLY HELPFUL AND IT HAS CHANGE THE WAY I DO MY INTERPRETATION. GOD REALLY BLESSED YOU

[@researchwithfawad]

Thanks. I am glad to hear that you liked the video.

[@boobeegoom]

Thank you so much for the video! It's the best explanation i have seen (was trying to understand how to interpret SPSS data for the whole day but your 20 mins video saved me)

[@researchwithfawad]

You're very welcome!

[@hopelynmooney9915]

This is the best explanation on all of the internet. Thank you so, so much!

[@researchwithfawad]

Pleasure. I am glad you liked it.

[@dvnc-music]

The BEST logistic regression video on KZbin.

[@researchwithfawad]

Thanks for watching. I am glad you liked it.

[@dr.mohamedlitonya9916]

Hello from Tanzania, this is a very dazzling video! I was able to follow step by step, do analysis and interpret my data. Hoping to view more videos from you.

[@researchwithfawad]

Thanks. I am glad you liked it.

[@priyankayadav17]

So beautifully and simply explained! Great video 🙌🏼

[@researchwithfawad]

Glad you liked it!

[@prisaanaramakrishnan8950]

This is the best video and explaination I have seen so far. Thank you for such detailed explaination with easy examples to digest. Much appreciated.

[@researchwithfawad]

Thanks. I am glad you liked it.

[@army-bi7px]

This is the best explanation I have seen till now. Very helpful 😍😍

[@researchwithfawad]

Thanks. I am happy to know that you found it helpful.

[@sakshi372]

It's the first video that I really understood, thank you so much!

[@researchwithfawad]

I'm so glad! Thanks.

[@Purnima_Chowdhury]

your video helped me write my analysis results so easily. I got appreciated by my professor. Thank you. it is the best video .

[@researchwithfawad]

Pleasure. I m glad you liked it.

[@sewwithmb5814]

Thanks for making binary logistics so easy for me. God bless you

[@researchwithfawad]

So nice of you

[@mahnazbp1204]

This is the best video and explanation I have seen so far. Thank you very much for sharing this great video.

[@researchwithfawad]

You're very welcome!

[@miscelleneoustubes]

The best vedio on in youtube regarding binary logistic regression! Great thanks sir.

[@researchwithfawad]

Pleasure. I am glad you liked it.

[@miscelleneoustubes]

@@researchwithfawad Dear Sir, Is it necessary to have continuous independent variable normally distributed? I am also struggling with multiple extreme outliers. May be it is due to low sample size?

[@researchwithfawad]

You can use Skewness and Kurtosis to check for assessment of normality. Please remove extreme outliers.

[@utsavmishra250]

Went through so many videos on logit model but this is the best video so far...Thanq for providing each and every minute details 🙏🙏

[@researchwithfawad]

Glad it helped

[@saisusmithabhargavikappara8128]

Thank you... only video helped me to write my interpretation

[@researchwithfawad]

You're welcome 😊

[@lisamarie5244]

Thank you, great job of breaking down and explaining the output.

[@researchwithfawad]

Glad it was helpful!

[@phyllistitus632]

Best video/ step by step explanation!

[@researchwithfawad]

Thanks. I am glad you liked it.

[@TheoOamen]

Exceptional Teaching. Just exceptional!

[@researchwithfawad]

Glad you liked it

[@mamadeem.kamara4279]

Your video is very useful. I am currently working on my data and I find this video very helpful! Thank you so much, and I hope to watch many data analysis videos from you.

[@researchwithfawad]

Thanks. I am glad you liked the contents.

[@kkeskin2228]

Thank you very much for the short and simple expression. Moreover, the examples are very clear and the results are well interpreted.

[@researchwithfawad]

Glad it was helpful!

[@fitsumgebre2721]

This is really great and it clearly shows how to interpret regression

[@researchwithfawad]

Pleasure. I am glad you liked it.

[@muhammadsaqib3752]

really helpful and step by step explained

[@researchwithfawad]

Thanks. I am glad you liked it.

[@daniellerobinson3688]

Best explanation I have found! Thank you!!

[@researchwithfawad]

Thanks for watching.

[@abdulchhalamsarkar8396]

Outstanding explanation ❤👍

[@researchwithfawad]

Thanks a lot 😊

[@GwenMorris-j9o]

Your videos have been extremely helpful! Thank you for the explanation and step by step instructions!

[@researchwithfawad]

Thank you. I am glad you liked the videos.

[@barsha5767]

This video is a holy grail, much thanks and bless you x

[@researchwithfawad]

Glad you enjoyed it! Thank you.

[@dr.vsethuramalingam9197]

Super Presentation. Very simple and easy to understand

[@researchwithfawad]

Thank you so much 🙂

[@shawsr7]

Your presentation is outstanding. You helped me. Thanks.

[@researchwithfawad]

Glad to hear that!

[@zazakh7804]

Thank you so much. The video was very helpful and every thing was explained clearly and with just enough details.

[@researchwithfawad]

Thanks. I am glad you liked the video.

[@MsSaddal]

Easy to understand such complicated topic... Thank you sir

[@researchwithfawad]

Thanks. I am glad you liked it.

[@nagendraamatya2666]

Thank you, it makes me a clear view of Binary logistic Regression. Greate work

[@researchwithfawad]

Glad it was helpful!

[@shawsr7]

Again, sir, you rock!

[@researchwithfawad]

Thanks. I am glad you liked it.

[@rashidabibi6743]

outstanding and great teacher. hat off for your contribution

[@researchwithfawad]

Thanks. I am glad you liked it.

[@stephenkizza1593]

This is great explanation I have not met. Thanks alot, wirh very clear illustrations

[@researchwithfawad]

Glad to hear that!

[@sheebakhan7937]

Very Explanatory. Very helpful. Thank you so much sir.

[@researchwithfawad]

You are most welcome

[@YinYin-pl7sm]

Thank you for your fantastic explanation, Sir

[@VimalKumar-sy7gv]

Thank you so much. you made it look so simple. Great help.

[@researchwithfawad]

Thanks for watching

[@anandrengasamy1298]

Very good explanation and with good narration. I really loved it and very much useful

[@researchwithfawad]

Thanks a lot 😊

[@jacklyngarote1349]

I wish you were my professor!💗💗

[@researchwithfawad]

Thanks. I am glad you liked it

[@WoinshetZewdie-o3y]

You are great mentor

[@researchwithfawad]

Thank you

[@Abzarad]

Thanks. Covers it all systematically.

[@researchwithfawad]

Thanks for watching.

[@sushantkafle4708]

You saved my thesis bro. Thanks alot

[@researchwithfawad]

Glad to hear that

[@eventura]

Wonderful video! Very detailed and efficiently explained in a way viewers can follow the steps.

[@researchwithfawad]

Pleasure. I am glad you liked it.

[@AleazarAmanuel]

Best explanation ever. It's way useful.....

[@researchwithfawad]

Glad it was helpful!

[@easylearn365bytonymathew4]

Thank you so much for the best explanation sir.

[@researchwithfawad]

You are most welcome

[@swatimittal7298]

Thank you for this video. It saved my life.

[@researchwithfawad]

Thank you. I am glad you liked it.

[@paulabooth7402]

Thank you. That was a wonderful explanation of binary regression. It really demystified it for me.

[@researchwithfawad]

Thanks. I am glad you liked it.

[@davidov752]

Thanks for your time!

[@researchwithfawad]

Pleasure. I am glad you liked it.

[@artandhealthmedia-]

thank you very much for your dateailed explanation

[@researchwithfawad]

Thanks. I am glad you liked it

[@abelgirma8763]

best video ever ,thanks

[@researchwithfawad]

Thanks. I am glad you liked it.

[@bolajiadedasola6369]

Thank you so much for this succinct explanation

[@researchwithfawad]

Thanks. I am glad you liked.

[@tadessebekele8172]

Thank you very much for your very clear lecture! Great

[@researchwithfawad]

Glad it was helpful!

[@AshishKuMeher]

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[@researchwithfawad]

You are most welcome

[@waleed.a1]

very nice explanation, thank you very much.

[@researchwithfawad]

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[@pabitragauli1371]

Very helpful video .. Thankyou ❤️

[@researchwithfawad]

I am glad you liked it

[@anjalimishra-yv9dm]

Thank you sir best explanation

[@researchwithfawad]

Thanks. I am glad you liked it.

[@silvanacrivoi335]

Thank you for the tutorial!

[@researchwithfawad]

Thanks. I am glad you liked it

[@MekuriawAmsalu]

Very nice presentation

[@elibernatchez]

Thank you, very useful and clear.

[@researchwithfawad]

Thanks. I am glad you liked it

[@sanshikakumarage4852]

Thanks alot Sir .... It has clear interpritation ...more important for my analysis ..

[@researchwithfawad]

Glad to hear that

[@kristianpilskog5612]

Excellent, thank you!

[@researchwithfawad]

Glad you enjoyed it!

[@apoorvajain6505]

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[@natashaladouceur5260]

Very helpful, thank you!

[@researchwithfawad]

Glad it was helpful!

[@obijiakunonye7928]

God bless u Fawad

[@researchwithfawad]

Ameen. Thank you.

[@asan4298]

Thank you for this video

[@researchwithfawad]

Thanks for watching.

[@benedictcyril8409]

Great video

[@researchwithfawad]

Thanks for watching

[@pawankasniya146]

Thank you sir for providing clear description of binary logistic regression. lot of thanks....

[@researchwithfawad]

You are most welcome

[@arwaalderam6322]

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[@researchwithfawad]

Glad it was helpful!

[@ismaaciilahmed7665]

You helped me man thanks

[@researchwithfawad]

Glad I could help

[@Lukhoi_Tutorial]

Thank you so much sir

[@researchwithfawad]

Most welcome

[@Cartoon_Psychologist]

Keep Good work Sir 👍

[@researchwithfawad]

Thanks. I am glad you liked it

[@prof.dr.habibrehman7354]

wonderful

[@researchwithfawad]

Glad you think so!

[@mouakias]

nice buddy!!thanks!

[@researchwithfawad]

Thanks for watching.

[@mugomuiruri2313]

very good

[@researchwithfawad]

Thanks

[@abrahamsisay8925]

THANK YOU

[@researchwithfawad]

Thanks. I am glad you liked it.

[@seoeuihong9618]

Hi, professor. Thank you for an incredible video! I found it very helpful and straightforward. I am struggling with my binary regression result, because Omnibus test was found significant (p

[@researchwithfawad]

Thanks for watching. If one of them is acceptable, you can say it is quite acceptable. You do not need to create dummies for ordinal, but if you want to remove a category, this can be an option.

[@fishfish20]

Thank you

[@researchwithfawad]

You're welcome

[@princessbadu1828]

Very good explanation. Please is it possible to have the PowerPoint presentation???

[@researchwithfawad]

Thanks. I am glad you liked it. Please email me on [e-mail]

[@Alhamzah_F_Abbas]

Great explanation prof. thank you. could you please make a video of how to use a two-stage hybrid SEM-ANN approach for assessing the predictions, I will be very grateful to you.

[@researchwithfawad]

Pleasure. I am glad you liked it. I am afraid i haven't worked on that technique yet.

[@ImNotSoNormal]

Hi, I've found your videos incredibly helpful. So, thank you so much for providing this content! I have one question. You've cited Hosmer, Lemeshow, and Sturdivant (2013) and Leblanc and Fitzgerald (2000) for the sample size assumptions. However, no references are provided for this in the video or on your website. I'm having difficulty locating them. If you have these to hand it would be a great help. Thanks!

[@researchwithfawad]

Thanks. I am glad you liked it. Here are the references Hosmer Jr, D. W., Lemeshow, S., & Sturdivant, R. X. (2013). Applied logistic regression (Vol. 398). John Wiley & Sons. LeBlanc, M., & Fitzgerald, S. (2000). Logistic regression for school psychologists. School Psychology Quarterly, 15(3), 344.

[@ImNotSoNormal]

@@researchwithfawad Thank you so much!

[@ashleymarin2748]

Thank you so much for this informative video! How can one control for other factors when performing binary logisitic regression on spss? For example, if one wants to see if an IV (e.g., age) is predictive of falling into a target group after controlling for something else.

[@researchwithfawad]

I am glad you liked it. One way to do it is to first run a model without controls and then run with control and see if the results change. If they do, the control variables have an impact on the outcome.

[@initasec]

thanks!!!

[@researchwithfawad]

Thanks. I am glad you liked it

[@mouanaimi]

Thank you very much!

[@researchwithfawad]

Pleasure. I am glad you liked it

[@drrahila9302]

Great explanation sir...I have continuous independent variable in regression which is skewed in distribution..shall I still do binary logistic regression.. 2. Some authors select only independent variables with p value< 0.1or o.2 in t test or chisquare test for regression..kindly explain the reason behind this..or shall I take all independent variables irrespective of their p value in bivariate analysis...thank you sir...kindly clarify me

[@researchwithfawad]

If it is not too skewed, regression is robust to such small deviations. As for p value before regression, i am not sure, I completely understand your question

[@drrahila9302]

@@researchwithfawadthank you sir.. I have more than 15 IV before conducting regression..I have done chisquare test to see association with each independent variable [IV] separately...some authors suggested to select IV which has p value

[@researchwithfawad]

Can you please provide the reference for the technique you are using to limit the number of variables.

[@drrahila9302]

@@researchwithfawad Serum magnesium is an independent predictor of frequent readmissions due to acute exacerbation of chronic obstructive pulmonary disease....This is my key article sir...

[@Noy05]

Hi! Thanks a lot. Your explanation is understandable. Just want to ask how you prepare the instrument (survey) in your data gathering? What are your criteria for coding technology (1-6), IR (1-7), VAS (1-7), PR, Reputation, etc.? Hope you can respond. Highly appreciate it if you can share it with me. Thank you.

[@researchwithfawad]

Thanks. I am glad it was easy to understand. Yes, i do have this same coding strategy. I put in a number with the initials of the construct. Like if i am entering data on Servant Leadership and it has 5 items, so my coding is SL1, SL2, SL3, SL4, SL5

[@Noy05]

@@researchwithfawad Did you use the likert scale? Do you have the indicatots below those items (technology, IR, VAS, etc.). I have challenges encounter in formulating my survey questionnaire.

[@alidonbeh5456]

Many thanks. Is there any limit on the number of covariates?

[@researchwithfawad]

Pleasure. In my knowledge there isn't any limit

[@motunrayoibitoye5214]

Hello, thank you for the very insightful video. My independent variables are all categorical, what do I do?

[@researchwithfawad]

Thanks. I am glad you liked it. For categorical independent variable, you will need to do dummy coding. Please watch kzbin.info/www/bejne/sJKyd4ukjahrj5I

[@motunrayoibitoye5214]

@@researchwithfawad thank you. I didn't know that. But in the video, you used it for linear regression, will I do as you did but for logistic regression?

[@researchwithfawad]

If it is logistic regression, procedure remains the same, you can create dummies and add them in logistic regression.

[@motunrayoibitoye5214]

@@researchwithfawad thank you!

[@khusnidin_sadykov]

JazakAllahu Hairan mr. Fawad! Thank you for the videos. Could you please say what should i do if in my model everything is good except Pseudo-R square (Nagelkerke is 0,17) but my data is secondary firm-level data, what can i do with that? thank you in advance for the answer!

[@researchwithfawad]

Thanks for watching. 0.17 is 17%, this is quite acceptable in social sciences.

[@emmanuelarthur8088]

Great work Sir, thanks so much, but I wish to ask that if you can do moderation with logistic regression? If yes where do you place the interacting variable on the SPSS?

[@researchwithfawad]

Thanks. I am glad you liked it. The interaction is you IV. So it goes in the independent list. If it turns out to be significant. the moderating role is significant.

[@maryumzulfiqar9157]

Hi sir,i have a question if in independent variables which have some category like →literate variable category( 0,1) zero means illiterate and 1 means literate. and other variables have there own categories In this case i can use your simple method (Actually my english is not good maybe you can't understand my point if yes plz tell me)

[@researchwithfawad]

Yes you can

[@alvinayeoh]

Hi good day I would like to ask about the interpretation of logistic regression in SPSS, because I did background LR logistic regression and the analysis result provide me some choices on Step 1a, 2a, 3a,4a. Hence, I’m wondering that can I take each step of the value that I want ? Or I only can take the value is in Step 1a while I cannot take the value in step 2a

[@researchwithfawad]

What steps are you referring to, where are these in this video?

[@baraaqah]

Hi. Your video is quite helpful, thank you. I’m trying to carry out the same but I’m using 6 categorical IV and 99% CI. How do I navigate the options please. The result I’ve been getting is insignificant

[@researchwithfawad]

Thanks for watching. For 99%, interpret significance at 0.01.

[@adriangryseska]

Thanks for the explanation. I have a question. Is that will be a same step, if the data aren't only ordinal? I mean my data (Independent Variable) has a scale, nominal, and ordinal.

[@researchwithfawad]

Thanks for watching. Yes if the DV is binary, and IV can be any scale.

[@shepherdchikomana7868]

Like can I get the dataset table 🤔 please

[@researchwithfawad]

Email me on [e-mail] I will send the data.

[@hiramukhtar5866]

Asa, can you please explain if the significance value of Hosmer lemeshow test is less than 0.05, can we interpret our results? Is this associated with significance of overall results?

[@researchwithfawad]

WAS. HL is for model fit.

[@ABDULLAHMALIK]

It is an excellent explanation of Binary Logistic Regression. Sir, please tell me if the value of Exp (B) came to 0.004 for a variable then how we interpret it. The result is sig .000. 95% CI (0.000 - 0.021)

[@researchwithfawad]

Thanks. I am happy to know you liked it. This shows that the Probability of falling into the target group is Less to the probability of falling into the non-target group. The Event is unlikely to occur. We can say that the odds of a falling into the target group based on the factor are lower, with a 95% CI. of 0.000 to 0.021. The odds are significant, so based on the results, it is high likely that probability of not falling into the target group is high and significant.

[@ABDULLAHMALIK]

@@researchwithfawad thank you so much for the response.

[@MsSaddal]

Sir, I got sig value of.002 of hosmer and lemeshow test which means a poor fit...how can I improve this value and make it greater than.05?

[@researchwithfawad]

If you have categorical data, you may run the regression for each category and see which category is performing poorly and remove it from your analysis.

[@jamesleleji6984]

Please how do you do a difference in differences using SPSS

[@researchwithfawad]

If you would like to asses differences in groups you can use Independent Sample T Test or One Way ANOVA

[@jamesleleji6984]

@@researchwithfawad Please can you do a video on this. Thanks

[@researchwithfawad]

Here you go Video on ANOVA kzbin.info/www/bejne/eKStdZKvbcd6b80 T-TEST kzbin.info/www/bejne/p52yqqZua82enbs

[@muhammadhaseeb8065]

are these also helpful for the medical students doing research

[@researchwithfawad]

Yes, the lectures can help.

[@DB-kv3wu]

Best tutorial, Thanks! How can I get your email for the further questions?

[@researchwithfawad]

Thanks. I am glad you liked it. You can email me on [e-mail]