test

Ends in:
test
Skip to content
Scholarsight
One-Way Repeated Measure ANOVA Using SPSS cover
Data Analysis and Research

One-Way Repeated Measure ANOVA Using SPSS

0 students
Last updated Jul 2026

Course Overview

About This Course

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.

Curriculum

4 Sections • 29 Lectures
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

Degree Track Only

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

View Tracks
Meet your instructors

Learn from Experts and Leaders

4.5
Rating
1
Reviews
4
Students
25
Courses

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.

More

Reviews

0.0

0 reviews

All Reviews

No reviews yet

Be the first to share your experience with this course!

Expand Your Knowledge

Related Courses

Course preview

Preview

Loading preview...

Preview Unavailable

Forgot?