Categorical Predictor/Dummy Variables in Regression Model in SPSS

Binary Logistic Regression Analysis in SPSS

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ОТКРЫТИЕ ПОД УГРОЗОЙ! Строю бизнес. Часть 21.

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

Research With Fawad

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A step-by-step guide to help understand how to run and interpret the output of Binary Logistic Regression in SPSS.
For Notes, Please visit
researchwithfawad.com/index.p...
0:00 Introduction
0:11 The Concept of Binary Logistic Regression
3:16 Example Scenarios
5:16 Assumptions
8:51 Case Processing Summary and Encoding
10:28 Goodness-of-fit statistics
13:37 Classification Table
18:18 Variables in the Equation
22:26 References
To Learn Ordinal Logistic Regression, Watch
• How to Run Ordinal Log...
#SPSS #SPSSTutorial #SPSSDataAnalysis #BinaryLogisticRegression #LogisticRegression #Regression #ResearchCoach

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7 авг 2024

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Комментарии : 324

@richardbediako9597 2 года назад

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

@researchwithfawad 2 года назад

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

@boobeegoom 5 месяцев назад

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 5 месяцев назад

You're very welcome!

@hopelynmooney9915 Год назад

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

@researchwithfawad Год назад

Pleasure. I am glad you liked it.

@dr.mohamedlitonya9916 Год назад

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 Год назад

Thanks. I am glad you liked it.

@prisaanaramakrishnan8950 Год назад

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 Год назад

Thanks. I am glad you liked it.

@priyankayadav17 5 месяцев назад

So beautifully and simply explained! Great video 🙌🏼

@researchwithfawad 5 месяцев назад

Glad you liked it!

@utsavmishra250 Месяц назад

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 Месяц назад

Glad it helped

@user-gx9xn2xh7j Год назад

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

@researchwithfawad Год назад

Thank you. I am glad you liked the videos.

@dvnc-music 2 месяца назад

The BEST logistic regression video on RU-vid.

@researchwithfawad 2 месяца назад

Thanks for watching. I am glad you liked it.

@army-bi7px 2 года назад

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

@researchwithfawad 2 года назад

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

@lisamarie5244 2 года назад

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

@researchwithfawad 2 года назад

Glad it was helpful!

@mamadeem.kamara4279 Год назад

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 Год назад

Thanks. I am glad you liked the contents.

@eventura Год назад

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

@researchwithfawad Год назад

Pleasure. I am glad you liked it.

@saisusmithabhargavikappara8128 11 месяцев назад

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

@researchwithfawad 11 месяцев назад

You're welcome 😊

@Purnima_Chowdhury Год назад

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

@researchwithfawad Год назад

Pleasure. I m glad you liked it.

@kkeskin2228 Год назад

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

@researchwithfawad Год назад

Glad it was helpful!

@sakshi372 2 года назад

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

@researchwithfawad 2 года назад

I'm so glad! Thanks.

@paulabooth7402 Год назад

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

@researchwithfawad Год назад

Thanks. I am glad you liked it.

@mahnazbp1204 5 месяцев назад

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

@researchwithfawad 5 месяцев назад

You're very welcome!

@sewwithmb5814 Год назад

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

@researchwithfawad Год назад

So nice of you

@zazakh7804 10 месяцев назад

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

@researchwithfawad 10 месяцев назад

Thanks. I am glad you liked the video.

@fitsumgebre2721 Год назад

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

@researchwithfawad Год назад

Pleasure. I am glad you liked it.

@VimalKumar-sy7gv Месяц назад

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

@researchwithfawad Месяц назад

Thanks for watching

@barsha5767 Год назад

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

@researchwithfawad Год назад

Glad you enjoyed it! Thank you.

@tadessebekele8172 2 года назад

Thank you very much for your very clear lecture! Great

@researchwithfawad 2 года назад

Glad it was helpful!

@shawsr7 Год назад

Your presentation is outstanding. You helped me. Thanks.

@researchwithfawad Год назад

Glad to hear that!

@nagendraamatya2666 2 года назад

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

@researchwithfawad 2 года назад

Glad it was helpful!

@stephenkizza1593 2 года назад

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

@researchwithfawad 2 года назад

Glad to hear that!

@rashidabibi6743 Год назад

outstanding and great teacher. hat off for your contribution

@researchwithfawad Год назад

Thanks. I am glad you liked it.

@MsSaddal 2 года назад

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

@researchwithfawad 2 года назад

Thanks. I am glad you liked it.

@easylearn365bytonymathew4 Месяц назад

Thank you so much for the best explanation sir.

@researchwithfawad Месяц назад

You are most welcome

@artandhealthmedia- 2 года назад

thank you very much for your dateailed explanation

@researchwithfawad 2 года назад

Thanks. I am glad you liked it

@muhammadsaqib3752 9 месяцев назад

really helpful and step by step explained

@researchwithfawad 9 месяцев назад

Thanks. I am glad you liked it.

@jacklyngarote1349 2 года назад

I wish you were my professor!💗💗

@researchwithfawad 2 года назад

Thanks. I am glad you liked it

@sanshikakumarage4852 2 года назад

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

@researchwithfawad 2 года назад

Glad to hear that

@dr.vsethuramalingam9197 Год назад

Super Presentation. Very simple and easy to understand

@researchwithfawad Год назад

Thank you so much 🙂

@bolajiadedasola6369 Год назад

Thank you so much for this succinct explanation

@researchwithfawad Год назад

Thanks. I am glad you liked.

@swatimittal7298 4 месяца назад

Thank you for this video. It saved my life.

@researchwithfawad 4 месяца назад

Thank you. I am glad you liked it.

@user-sn1nv3xo1d 5 месяцев назад

Exceptional Teaching. Just exceptional!

@researchwithfawad 5 месяцев назад

Glad you liked it

@sheebakhan7937 4 месяца назад

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

@researchwithfawad 4 месяца назад

You are most welcome

@anandrengasamy1298 10 месяцев назад

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

@researchwithfawad 9 месяцев назад

Thanks a lot 😊

@silvanacrivoi335 2 года назад

Thank you for the tutorial!

@researchwithfawad 2 года назад

Thanks. I am glad you liked it

@waleed.a1 2 года назад

very nice explanation, thank you very much.

@researchwithfawad 2 года назад

Glad it was helpful!

@elibernatchez 2 года назад

Thank you, very useful and clear.

@researchwithfawad 2 года назад

Thanks. I am glad you liked it

@phyllistitus632 Год назад

Best video/ step by step explanation!

@researchwithfawad Год назад

Thanks. I am glad you liked it.

@arwaalderam6322 2 месяца назад

thank you so much that was a great explanation

@researchwithfawad 2 месяца назад

Glad it was helpful!

@AshishKuMeher Год назад

Thank you. It is very helpful for me.

@researchwithfawad Год назад

You are most welcome

@natashaladouceur5260 2 года назад

Very helpful, thank you!

@researchwithfawad 2 года назад

Glad it was helpful!

@AleazarAmanuel Год назад

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

@researchwithfawad Год назад

Glad it was helpful!

@davidov752 Год назад

Thanks for your time!

@researchwithfawad Год назад

Pleasure. I am glad you liked it.

@kristianpilskog5612 2 года назад

Excellent, thank you!

@researchwithfawad 2 года назад

Glad you enjoyed it!

@abdulchhalamsarkar8396 6 месяцев назад

Outstanding explanation ❤👍

@researchwithfawad 6 месяцев назад

Thanks a lot 😊

@pabitragauli1371 Год назад

Very helpful video .. Thankyou ❤️

@researchwithfawad Год назад

I am glad you liked it

@negarnekooei1688 6 месяцев назад

Very helpful! Thank you

@researchwithfawad 6 месяцев назад

Glad it was helpful!

@sushantkafle4708 Год назад

You saved my thesis bro. Thanks alot

@researchwithfawad Год назад

Glad to hear that

@apoorvajain6505 Год назад

Very nicely explained. Thank you.

@researchwithfawad Год назад

Glad it was helpful!

@miscelleneoustubes Год назад

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

@researchwithfawad Год назад

Pleasure. I am glad you liked it.

@miscelleneoustubes Год назад

@@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 Год назад

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

@asan4298 4 месяца назад

Thank you for this video

@researchwithfawad 4 месяца назад

Thanks for watching.

@abelgirma8763 Год назад

best video ever ,thanks

@researchwithfawad Год назад

Thanks. I am glad you liked it.

@user-yq1fr4dj1m 6 месяцев назад

You are great mentor

@researchwithfawad 6 месяцев назад

Thank you

@shawsr7 Год назад

Again, sir, you rock!

@researchwithfawad Год назад

Thanks. I am glad you liked it.

@mouanaimi 2 года назад

Thank you very much!

@researchwithfawad 2 года назад

Pleasure. I am glad you liked it

@ismaaciilahmed7665 2 года назад

You helped me man thanks

@researchwithfawad 2 года назад

Glad I could help

@anjalimishra-yv9dm Год назад

Thank you sir best explanation

@researchwithfawad Год назад

Thanks. I am glad you liked it.

@Alhamzah_F_Abbas Год назад

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 Год назад

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

@Lukhoi_Tutorial 7 месяцев назад

Thank you so much sir

@researchwithfawad 7 месяцев назад

Most welcome

@obijiakunonye7928 Год назад

God bless u Fawad

@researchwithfawad Год назад

Ameen. Thank you.

@Cartoon_Psychologist 2 года назад

Keep Good work Sir 👍

@researchwithfawad 2 года назад

Thanks. I am glad you liked it

@prof.dr.habibrehman7354 4 месяца назад

wonderful

@researchwithfawad 4 месяца назад

Glad you think so!

@abrahamsisay8925 Год назад

THANK YOU

@researchwithfawad Год назад

Thanks. I am glad you liked it.

@initasec 2 года назад

thanks!!!

@researchwithfawad 2 года назад

Thanks. I am glad you liked it

@fishfish20 10 месяцев назад

Thank you

@researchwithfawad 10 месяцев назад

You're welcome

@mugomuiruri2313 8 месяцев назад

very good

@researchwithfawad 8 месяцев назад

Thanks

@ashleymarin2748 Год назад

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 Год назад

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.

@pawankasniya146 2 года назад

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

@researchwithfawad 2 года назад

You are most welcome

@emmanuelarthur8088 2 года назад

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 2 года назад

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.

@alvinayeoh 6 месяцев назад

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 6 месяцев назад

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

@khusnidin_sadykov 2 месяца назад

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 2 месяца назад

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

@MsSaddal Год назад

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 Год назад

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.

@seoeuihong9618 10 месяцев назад

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 10 месяцев назад

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.

@Noy05 2 года назад

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 2 года назад

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 2 года назад

@@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.

@hiramukhtar5866 6 месяцев назад

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 6 месяцев назад

WAS. HL is for model fit.

@adriangryseska 10 месяцев назад

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 10 месяцев назад

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

@ImNotSoNormal Год назад

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 Год назад

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 Год назад

@@researchwithfawad Thank you so much!

@baraaqah 11 месяцев назад

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 11 месяцев назад

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

@noorsaher9789 3 месяца назад

can you tell if null hypothesis is correct then what about exp beta how will i interpret those

@researchwithfawad 3 месяца назад

It still shows the Odds but the impact of predictors is insignificant.

@rubaa8975 10 месяцев назад

Thank you for the great explanation, sir. I would like to ask: 1) why do I get a very high exp B value (eg: >5) 2) can i randomly assign my reference variable? For example: gender consists of male and female, is it fine to randomly assign any one of it as a ref variable or it has to be supported by previous evidence? Thank you.

@researchwithfawad 10 месяцев назад

Thanks for watching. P value is dependent on data. Yes, you can assign any category as reference

@drumsinthehouse8116 Год назад

what to do if omnibus and hosmer and lemeshow test are different in signifincance?

@researchwithfawad Год назад

To the best of my knowledge you can go on with the interpretation and reporting but report that contradicting fit results.

@boanergesthesonsofthunderi6005 2 года назад

good presentation. i want to study export trade participation. may awareness , lack of capital, government policy and production capacity and others are considered as independent. can i use probit or logit.? how ? could you give me some hint with reading materials?

@researchwithfawad 2 года назад

Thanks for watching. As for the use of Logit and Probit model, The logit model assumes a logistic distribution of errors, and the probit model assumes a normal distributed errors. These models, however, are not practical for cases when there are more than two cases, and the probit model is not easy to estimate (mathematically) for more than 4 to 5 choices.

@anyasmiller806 Год назад

I recently run analysis of my data. Hypotheses look good, r square looks good; but model fits are not encouraging. Please what would you suggest for me to do in order to get my paper published

@researchwithfawad Год назад

Please check Modification Indices, Standardized Residual Covariance. You may also refer to this video ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-TW4HvT6cqNY.html

@mugomuiruri2313 9 месяцев назад

good

@researchwithfawad 8 месяцев назад

Thanks. I am glad you liked it.

@MsSaddal 2 месяца назад

sir, how to see interactional effect for 2 dependant variables and six demographics variables?

@researchwithfawad 2 месяца назад

Interaction is between predictors and how they affect the DV. For Categorical Predictors, you can read more on Two Way ANOVA

@princessbadu1828 2 года назад

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

@researchwithfawad 2 года назад

Thanks. I am glad you liked it. Please email me on kh.fawad83@gmail.com

@maysaaalmalki1675 2 года назад

what If the odds is 333.12 for example ? how to interpret the outcome ? Especially if the independent variable is categorical ?

@researchwithfawad 2 года назад

Probability of falling into the target group is greater to the probability of falling into the non-target group. The Event is likely to occur. Look at the Beta value, if it is positive, the category 1 for the IV has a higher impact in comparison to the other category.

@mirzaiqa3051 2 года назад

Hi! Thanks alot for such a wonderful explanation. If a study have two continuous variable i.e parental involvement, academic anxiety and outcome variable is academic achievement which is based on students previous two year result. How to fun regression for that?

@researchwithfawad 2 года назад

Thanks. I am glad you liked it. How is your dependent variable measured

@mirzaiqa3051 2 года назад

@@researchwithfawad Aggregate marks of previous two classes

@researchwithfawad 2 года назад

Go for linear regression as marks will not be just 0 or 1 (They are not dichotomous)

@maryumzulfiqar9157 Месяц назад

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 Месяц назад

Yes you can

@shewangzawhailu8333 6 месяцев назад

Hello there , From Ethiopia It is a very helpful video. Thank you But I have question while doing my thesis by multivariate binary logistic regression it works for some variables but not for others ( may be low sample size for these predictor variables) ; how can I proceed ? For bivariate logistic regression model it works

@researchwithfawad 6 месяцев назад

Hi. Thanks for watching. What is your sample size?

@shewangzawhailu8333 6 месяцев назад

@@researchwithfawad 273 it is ok for some variables but not doing for others who had small number of respondents

@ABDULLAHMALIK Год назад

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 Год назад

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 Год назад

@@researchwithfawad thank you so much for the response.

@paulabooth7402 Год назад

I would be very grateful if you could advise how to run a binary logistic regression when there are categorical independent variables (eg gender) and ordinal scales (likert scales, household income etc.). Thank you

@researchwithfawad Год назад

Thanks for your interest. The video does have noth categorical predictors and Ordinal variables. For Dichotomous or categorical variables, the assessment is based on reference category.

@alidonbeh5456 2 года назад

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

@researchwithfawad 2 года назад

Pleasure. In my knowledge there isn't any limit

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