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Introduction to Correlations Using SPSS

Welcome to Correlational Analysis Using IBM SPSS Statistics, a comprehensive course designed to help you master one of the most widely used statistical techniques for measuring rel...

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Published 2026 · Last updated Aug 2026

Introduction to Correlations Using SPSS

Course instructors · lifetime access
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Course overview

Course Overview

Welcome to Correlational Analysis Using IBM SPSS Statistics, a comprehensive course designed to help you master one of the most widely used statistical techniques for measuring relationships between variables. Whether you are a student, researcher, academic, or data analyst, this course provides the conceptual knowledge and practical skills needed to perform and interpret various correlation analyses using IBM SPSS Statistics.


The course begins with the fundamentals of correlational analysis, explaining when and why different correlation techniques should be used. You will learn the concepts, assumptions, calculations, and interpretations of Pearson's Correlation, Spearman's Rank Order Correlation, Biserial Correlation, and Point-Biserial Correlation. Through step-by-step demonstrations in SPSS, practical examples, and real-world datasets, you will gain hands-on experience in conducting correlation analyses, interpreting outputs, testing hypotheses, and reporting results according to APA style.


By the end of this course, you will have the confidence to perform correlational analysis using IBM SPSS Statistics and apply these techniques effectively in academic research, dissertations, theses, and professional data analysis.

Learning Outcomes

Understand the concepts, assumptions, and applications of correlational analysis.

Perform and interpret Pearson's, Spearman's, Biserial, and Point-Biserial correlations using IBM SPSS Statistics.

Select the appropriate correlation technique for different types of research data.

Test research hypotheses and interpret correlation outputs accurately.

Report correlation analysis 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 and interpret Pearson's,...

70% course score

+7 pts

Select the appropriate correlati...

76% course score

+8 pts

Test research hypotheses and int...

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

4 modules · 41 lessons · 2 hr 15 min

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

Introduction to Correlation
1:45
What is Correlation?
1:19
Types of Correlations: Positive and Negative Correlations
3:42
Understanding Correlation Coefficient and its Range
3:26
Which Correlation Coefficient to Use and When?
8:56
Dataset and Resources
0:08
Pearson's Correlation: Origin, Use & Why its so Popular?
3:10
Why it is Called Product Moment Correlation Coefficient?
2:33
Assumptions of Pearson's Product Moment Correlation
6:38
Calculation of r: Deviation Score formula
1:32
Calculation of r: Z-Score Formula
1:24
Calculation of r: Raw Score Formula
2:06
Calculation of r: Co-variance Formula
2:42
Manual Calculation of r using Raw Score Method
2:34
Importance of r
2:13
Spurious Correlations: When Correlation Does Not Signify Causation?
3:15
Pearson Correlation as a Coefficient of Variability (R-squared)
2:54
Checking Assumptions of r
11:26
Understanding Pearson, Two tailed, and Bootstrapping
4:42
Interpretation of Output of r
0:51
Bootstrapping the Correlation Coefficient (r)
1:25
Writing Output of r in APA style
9:49
Fixing the Bootstrap Bug in SPSS 25
10:55
Introduction to Biserial and Point-Biserial Correlations
2:20
When to Use Biserial and When to Use Point-Biserial Correlation?
3:47
Calculation and Interpretation of Biserial Correlation in SPSS
4:42
APA Style Reporting of Biserial Correlation Output
0:49
Exercise: Calculating a Point Biserial Correlation between Gender and Salary
0:58
How to Calculate Point-Biserial Correlation in SPSS?
1:45
Interpreting Point Biserial Correlation Output in SPSS
3:01
Reporting Point-Biserial Correlation Output in APA style
2:45
Introduction to Rho
0:30
When to Use Rho?
2:45
Origin and Notation of Rho
0:14
Assumptions of Rho
6:48
Understanding the Formula of Rho and Ranking Method
3:07
How to Deal with Tied Ranks While Calculating Rho
3:55
Should I Rank My Variables First then Calculate Rho in SPSS?
0:28
Calculating and Interpreting Rho in SPSS
2:02
Rho is r on Ranked Data: Proof
3:04
APA Style Reporting of Rho
1:48
₹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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