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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...
Measures of Association Using SPSS: Kendall's Tau
lifetime access
₹850.00
Lifetime access
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
Every course adds to three macro skills. Log in to swap platform averages for your own numbers.
Curriculum
Each module pairs the hand calculation with the same analysis in Excel, SPSS, R and Python.
Instructor
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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This course is designed for learners who want a practical, comprehensive path through the course subject.
You will build practical knowledge through the course lessons, examples, and activities.
Your course access remains available for the lifetime of your account, including future updates.
Yes. A verifiable certificate of completion is issued when you finish the course requirements.
Yes. There is a 30-day money-back guarantee, no questions asked.
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1h 14m
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