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One-Way Repeated Measure ANOVA Using SPSS

Welcome to One-Way Repeated Measures ANOVA Using IBM SPSS Statistics, a comprehensive course designed to help you understand and apply One-Way Repeated Measures Analysis of Varianc...

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Published 2026 · Last updated Aug 2026

One-Way Repeated Measure ANOVA Using SPSS

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Course overview

Course Overview

Welcome to One-Way Repeated Measures ANOVA Using IBM SPSS Statistics, a comprehensive course designed to help you understand and apply One-Way Repeated Measures Analysis of Variance (ANOVA) using IBM SPSS Statistics. Whether you are a student, researcher, academic, or data analyst, this course provides the theoretical foundation and practical skills required to analyze repeated measurements collected from the same participants across different conditions or time points.


The course begins with the fundamentals of repeated measures ANOVA, explaining its purpose, assumptions, and appropriate applications in research. You will learn how to prepare data, perform One-Way Repeated Measures ANOVA in SPSS, assess model assumptions including sphericity, interpret multivariate and univariate test results, conduct post hoc comparisons, and report findings according to accepted academic and research standards. Through step-by-step demonstrations and practical examples, you will gain hands-on experience in analyzing within-subjects experimental and longitudinal data.


By the end of this course, you will have the confidence to perform One-Way Repeated Measures ANOVA using IBM SPSS Statistics and apply it effectively in academic research, dissertations, theses, and professional data analysis.

Learning Outcomes

Understand the concepts, assumptions, and applications of One-Way Repeated Measures ANOVA.

Perform One-Way Repeated Measures ANOVA using IBM SPSS Statistics with confidence.

Interpret univariate and multivariate test results accurately.

Conduct and interpret post hoc comparisons for repeated measures data.

Report repeated measures ANOVA 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 One-Way Repeated Measure...

70% course score

+7 pts

Interpret univariate and multiva...

76% course score

+8 pts

Conduct and interpret post hoc c...

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 · 29 lessons · 2 hr 34 min

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

What is Repeated Measure Design? Example 1
3:58
What is Repeated Measure Design? Example 2
1:39
What is Repeated Measure Design? Example 3
1:42
Repeated Measure ANOVA Vs. Paired Sample t-test
0:34
Assumptions of Repeated Measure ANOVA
5:18
Dataset and Resources
0:08
Explaining Multivariate Tests
2:29
Understanding Pillai's Trace & Wilk's Lambda
4:52
Understanding Hotelling's Trace
0:56
Understanding Roy's Largest Root
1:38
What is Sphericity? Understanding Sphericity through an Example
4:30
Understanding Mauchly's Test of Sphericity
7:27
Understanding the Dataset
1:35
Formulating Research Question and Hypothesis based on Data
1:49
Understanding Within-subject Factor Naming
2:48
Understanding Measurement Name Option
2:54
Understanding Between Subject Factor and Covariate Options
3:45
Understanding Preliminary Output
0:45
Understanding Model Full Factorial, Build Custom Terms & Main and Interaction Effects
6:07
Explaining TYPE I, Type II, Type III, and Type IV Sum of Squares
12:22
Explaining Contrast: Simple, Polynomial, Repeated, Deviation, Difference, Helmert
17:30
Defining Plots: Exploring All Options
16:53
Introduction to Post-hoc Tests: Two Families
8:01
When to Use Tukey's and Scheffe's Tests?
2:33
Explaining Bonferroni correction
5:41
Explaining LSD Test
2:24
Explaining Tukey's HSD, Tukey's WSD and SNK Test
12:35
Explaining Waller-Duncan, Dunnett’s T, Scheffe, Sidak, Duncan, and Hochberg Gabriel’s Test
13:01
Explaining Games Howell, Tamhane's T2 and T3 Tests Non-parametric Post-hoc Tests
7:35

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This course is available inside a Degree Track and cannot be purchased separately.

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Questions

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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.

We are committed to your progress

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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