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Logistic Regression Using SPSS

Welcome to Logistic Regression Analysis Using IBM SPSS Statistics, a comprehensive course designed to help you understand and apply Logistic Regression, one of the most widely used...

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Published 2026 · Last updated Aug 2026

Logistic Regression Using SPSS

Course instructors · lifetime access
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Course overview

Course Overview

Welcome to Logistic Regression Analysis Using IBM SPSS Statistics, a comprehensive course designed to help you understand and apply Logistic Regression, one of the most widely used predictive modeling techniques in statistics, research, and data science. Whether you are a student, researcher, academic, or data analyst, this course provides the theoretical foundation and practical skills required to perform logistic regression with confidence using IBM SPSS Statistics.


The course begins with the fundamentals of logistic regression, explaining its purpose, assumptions, and applications when the dependent variable is categorical. You will learn how to prepare data, build logistic regression models in SPSS, interpret model coefficients, odds ratios, classification tables, goodness-of-fit statistics, and model diagnostics. Through step-by-step demonstrations and practical examples, you will gain hands-on experience in testing research hypotheses, making predictions, and reporting findings according to APA style.


By the end of this course, you will have the confidence to perform Logistic Regression Analysis using IBM SPSS Statistics and apply it effectively in academic research, dissertations, theses, business analytics, healthcare, social sciences, and professional data analysis.

Learning Outcomes

Understand the concepts, assumptions, and applications of Logistic Regression Analysis.

Perform Logistic Regression using IBM SPSS Statistics with confidence.

Interpret logistic regression outputs, odds ratios, and model fit statistics accurately.

Develop and test research hypotheses using logistic regression models.

Report logistic regression results in APA style and research-standard format.

What you walk away with

Career Map & Skills You Gain

Every course adds to three macro skills. Log in to swap platform averages for your own numbers.

Financial skills

62th

percentile

Your salary vs. learners in these roles

After this course+14 pts → 76th

Data Analysis and Research Specialist

78% course score

+8

Project Contributor

66% course score

+7

Independent Practitioner

61% course score

+6

Employability skills

71th

percentile

Quiz scores from the courses you finish

After this course+18 pts → 89th

Understand the concepts, assumpt...

64% course score

+6 pts

Perform Logistic Regression usin...

70% course score

+7 pts

Interpret logistic regression ou...

76% course score

+8 pts

Develop and test research hypoth...

82% course score

+8 pts

Life skills

48th

percentile

Life-skill test scores after each course

After this course+11 pts → 59th

Critical thinking

76% course score

+8 pts

Decision-making

71% course score

+7 pts

Analytical mindset

68% course score

+7 pts

Curriculum

6 modules · 47 lessons · 3 hr 9 min

Each module pairs the hand calculation with the same analysis in Excel, SPSS, R and Python.

What is Logistic Regression?
0:34
Understanding the Logistic Regression Model
5:38
Understanding and Logistic Regression Model: Shape, Logit and Probabilities
7:56
Understanding the Equation of Logistic Regression
3:39
Concept of Odd Ratios
1:22
Fundamentals, Derivation & Calculation of Odd ratios
18:55
Example: Calculating Odds of Lung Cancer with Smoking
8:25
Dataset and Resources
0:19
Journal Articles
Requirements for Logistic Regression Analysis
0:43
Assumptions of Logistic Regression
5:33
Setting Data and Understanding the Data File
4:21
Dataset
9:00
How to Code the Binary Dependent Variable?
4:25
Understanding Block Option and Interaction Option
3:11
Selecting Method and Coding Categorical Variable as Dummy Variable
6:33
Understanding Save Option: Predicted Probabilities & Group Membership
3:10
Understanding Save Option: Influence - Cook's Distance & DFBeta Options
3:42
Understanding Save: Residuals – Standardized
1:48
Understanding Classification Plots Option
1:27
Understanding Hosmer-Lemeshow Goodness of Fit Test
1:49
Understanding Case-wise Listing of Residuals
1:23
Understanding Correlation of Estimates Option
0:38
Understanding Iteration History Option
0:40
Understanding CI for Exp(B) Option
1:42
Including Constant in Model
1:06
Understanding Classification Cutoff .5 & Bootstrapping
4:47
Understanding Case Processing Summary & Dummy Variable Coding
3:34
Understanding Block 0 vs Other Blocks & Iteration History
2:14
Understanding -2 Log Likelihood & R squares (Cox & Snell, Negelkerke)
6:15
Understanding Classification Table (Sensitivity & Specificity)
4:22
Understanding Variables in Equation - Baseline Model Interpretation
1:18
Understanding Hosmer-Lemeshow & Contingency Table for Baseline Model
1:11
Interpretation of Hosmer-Lemeshow Test for Default Model
1:34
Interpreting Variables in Equation for Default Model
2:40
Interpreting Wald's Test for Default Model
5:28
Interpreting Odd Ratios for Variables in Equation Table
3:08
Interpreting Correlation Table and Understanding Multi-collinearity
3:10
Interpretation and Application of Classification Plot
7:45
Interpreting Case-wise Listing of Residuals Output
3:10
Interpreting Predicted Probabilities and Group Membership
3:52
Interpreting Cook's Distance and DFBeta
4:18
Interpreting Omnibus Test Output
4:04
Explaining Pseudo R Squares - 2Log Likelihood, Cox & Snell and Negelkerke
6:05
Writing Final Equation of Logistic Regression Manually
2:39
APA Style Presentation of Table and Results
17:35
Logistic Regression APA Style Output
1:00
₹850.00 Enroll Now

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Who is this course for?

This course is designed for learners who want a practical, comprehensive path through the course subject.

What will I learn?

You will build practical knowledge through the course lessons, examples, and activities.

How long do I have access?

Your course access remains available for the lifetime of your account, including future updates.

Do I get a certificate?

Yes. A verifiable certificate of completion is issued when you finish the course requirements.

Is there a refund policy?

Yes. There is a 30-day money-back guarantee, no questions asked.

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Lifetime access, mentor Q&A on every lesson, and a certificate you can share the moment you finish. If it is not right for you, the first 30 days are on us.

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