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

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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[@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.

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[@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.

[@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.

[@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.

[@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.

[@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.

[@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!

[@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.

[@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]

[@alvinayeoh7693]

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?

[@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.

[@noorsaher9789]

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

[@researchwithfawad]

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

[@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.

[@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.

[@MsSaddal]

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

[@researchwithfawad]

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

[@drumsinthehouse8116]

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

[@researchwithfawad]

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

[@rubaa8975]

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]

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

[@anyasmiller806]

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]

Please check Modification Indices, Standardized Residual Covariance. You may also refer to this video
czcams.com/video/TW4HvT6cqNY/video.html

[@boanergesthesonsofthunderi6005]

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]

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.

[@kiranduhan4502]

What constant values shows in results? What if constant exponential B value is very high

[@researchwithfawad]

Consider when X = 0, the constant is the log of the odds of having the outcome.

[@prosnif6847]

I wish you could get the spv file to allow do my tutorial

[@researchwithfawad]

Thanks for your interest. You can download the dataset from this link
researchwithfawad.com/index.php/download-research-resources/

[@paulabooth7402]

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]

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.

[@noorsaher9789]

what if both hosmer and omibus values are significant or insignificant

[@researchwithfawad]

You may need to collect more data, clean data, check for outliers, check for data distribution

[@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.

[@shewangzawhailu8333]

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]

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

[@shewangzawhailu8333]

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

[@maddisonbuchi3714]

In the first table for the Hosmer and Lemeshow test the significance is .962 - you said this is significant in the video? But its not because its higher than 0.05? Confused?

[@researchwithfawad]

Please watch again, it is a poor fit if the value is less than 0.05