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Measures of Association Using SPSS: Kendall's Tau

Welcome to Measures of Association: Kendall's Tau Using IBM SPSS Statistics, a comprehensive course designed to help you understand and apply Measures of Association with a special...

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Published 2026 · Last updated Jul 2026

Measures of Association Using SPSS: Kendall's Tau

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Course overview

Course Overview

Welcome to Measures of Association: Kendall's Tau Using IBM SPSS Statistics, a comprehensive course designed to help you understand and apply Measures of Association with a special focus on Kendall's Tau coefficients. Whether you are a student, researcher, academic, or data analyst, this course provides the conceptual knowledge and practical skills required to measure the strength and direction of relationships between ordinal variables using IBM SPSS Statistics.


The course begins with the fundamentals of measures of association, explaining when and why they are used in research. You will then explore the concepts, assumptions, calculations, and interpretations of Kendall's Tau-a, Kendall's Tau-b, Kendall's Tau-c, and Kendall's W (Coefficient of Concordance). Through step-by-step demonstrations in SPSS, you will learn how to perform the analyses, interpret statistical outputs, and report the results according to accepted academic and research standards.


By the end of this course, you will have the confidence to apply Kendall's Tau measures appropriately and use them effectively in research, dissertations, theses, and professional data analysis.


Learning Outcomes

Understand the concepts, assumptions, and applications of Measures of Association.

Perform and interpret Kendall's Tau-a, Tau-b, and Tau-c using IBM SPSS Statistics.

Apply Kendall's W (Coefficient of Concordance) to assess agreement among raters.

Select the appropriate Kendall's coefficient for different research scenarios.

Report and interpret Measures of Association results in a professional 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 Kendall's...

70% course score

+7 pts

Apply Kendall's W (Coefficient o...

76% course score

+8 pts

Select the appropriate Kendall's...

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

5 modules · 24 lessons · 1 hr 15 min

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

What is Difference between Association and Correlation?
5:44
Understanding Concordant and Discordant Pairs
10:27
Understanding Pairs by Column and Rows Calculation
4:43
Dataset and Resources
0:07
Introduction to Kendall's Tau
0:40
When to Use Kendall's Tau instead of Spearman's Rho?
3:24
Assumptions of Kendall's Tau
5:21
Range and Interpretation of Kendall's Tau
1:06
Types of Kendall's Tau Coefficients: Tau a, Tau b, Tau c & Kendall's W
0:59
Kendall's Tau a: Concept, When to Use and Formula
2:40
Kendall's Tau b and Tau c: Introduction and When to Use?
2:58
Kendall's Tau b Formula
0:56
Kendall's Tau c: Formula and When to Use?
1:40
Kendall's Tau a, Tau b, Tau c, and Kendall's W: A Comparison of Usage
2:26
Kendall's Tau b in SPSS: Checking Tied Ranks
1:19
APA Style Reporting of Kendall's Tau b Results
1:55
Kendall's Tau c: Assumption Checking
3:35
Kendall's Tau c: Calculation and Interpretation in SPSS
3:58
Kendall's Tau c: APA Style Reporting
1:03
Kendall's W: Introduction and When to Use
4:53
Kendall's W: Understanding the Formula
1:15
Kendall's W in SPSS (using Non-Parametric Auto-Dialogue Box)
5:48
Kendall's W in SPSS (using Non-Parametric Legacy Dialogue Box)
4:53
APA Style Output Reporting of Kendall's W
3:10
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An experienced and passionate instructor, [Name] is dedicated to fostering a dynamic and engaging learning environment where students feel motivated to grow both academically and personally. With a strong foundation in their subject area, they bring clarity, structure, and enthusiasm to every lesson, ensuring complex concepts are made accessible and relevant. Their teaching approach blends theoretical knowledge with practical application, encouraging students to think critically and develop problem-solving skills. Known for their supportive and approachable demeanor, [Name] builds meaningful connections with students, understanding that each learner has unique strengths and challenges. They are committed to creating an inclusive classroom atmosphere where curiosity is encouraged, questions are welcomed, and every student feels valued. By adapting teaching methods to suit diverse learning styles, they help students gain confidence and achieve their full potential. Beyond the classroom, [Name] is deeply invested in continuous learning and professional development, staying updated with the latest educational practices and advancements in their field. They often contribute to curriculum development, mentorship programs, and extracurricular activities, reinforcing their role as not just an instructor, but a mentor and guide. Their ultimate goal is to inspire lifelong learning and empower students to succeed in an ever-evolving world.

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