🧭 Overview
This MOOC is structured in an integrated fashion to bridge theory, statistical analysis, and research methodology. It guides participants through a progressive journey—from foundational principles to advanced applications—using real-world datasets and statistical software tools such as IBM SPSS and R with content developed by Dr. Letetia Addison.
Dr. Letetia Addison is a Senior Fellow of the Higher Education Academy (Advance HE) , with over a decade of experience teaching quantitative research and statistics across multiple faculties at The University of the West Indies (UWI). She holds a Ph.D. in Mathematics and an M.Phil. in Statistics and currently lectures Statistics courses in various departments and is a UWI/Guardian Premium Teaching Awardee. She has taught the graduate-level Advanced Statistics and Research Methods in Psychology course for several years and has transformed its content into a fully online open educational resource . Passionate about making statistical education inclusive and accessible, she integrates blended and digital learning to engage learners across disciplines. Her teaching blends statistical theory with practical software tools including IBM SPSS and R to build confidence in applied research. Dr. Addison’s research interests span applied statistics, education analytics, and AI for climate resilience. She leads award-winning research projects and serves as a Women in Data Science Ambassador, advocating for global data literacy and equity across the globe.
Participants will gain hands-on experience through interactive exercises, reflective tasks, and optional data projects. This course also contains a pre-course and post-course survey. By the end of the course, learners will not only understand advanced statistical methods but also confidently apply them to psychological research, interpret results, and communicate findings clearly.
⏱️ Learning Pace
Asynchronous – Learn at your own pace and convenience. Designed for flexibility with weekly targets to keep you on track over 8 weeks.
🎯 Target Audience
This course is ideal for:
- 🎓 Graduate & advanced undergraduate students
- 🧪 Researchers & academic professionals
- 🧑🏫 Educators, practitioners, and early-career statisticians
- 📊 Anyone with basic statistics knowledge seeking to advance their skills in psychological research
Please note: Examples used are related to social sciences.
📚 Learning Units
Lesson 1: Course Overview and Introductory Concepts
Lesson 2: Basics of Statistical Software
Lesson 3: Descriptive Statistics and Exploratory Analysis
Lesson 4: Inferential Statistics and Hypothesis Testing I
Lesson 5: Inferential Statistics and Hypothesis Testing II
Lesson 6: Regression Techniques
Lesson 7: Advanced Topics in Statistics
Final Summary and Quiz
💡 Enhance Your Learning Experience
To help us tailor the course to your needs and improve future offerings, we ask that you complete both the Pre-Course and Post-Course Surveys.
These short surveys are part of your learning journey!
Your feedback matters and helps us make this MOOC even better!
🎓 What You’ll Gain
By completing this course, participants will:
- Develop a comprehensive understanding of research strategies in psychology
- Gain skills in statistical software for analyzing real-world data
- Learn to choose appropriate data analysis techniques
- Build confidence in interpreting and communicating statistical findings
- Strengthen readiness for interdisciplinary collaboration and academic research
Let’s get started!
Click on a topic below to begin this tutorial.
Thank you. I completed this course. While I still have much of the course to review and redo (especially the Optional Activities) the entire course experience was great! From the learning objectives, short videos with quizzes, separate quizzes, the activities and examples, the APA writeups, the forum, the reference material, *and* the additional reference material and links. The inclusion of R and code was also great. Same for SPSS, though I didn’t use SPSS. I’ve never put so many ‘Strongly agrees’ in a survey form before 😀 ! I also enjoyed the music in the videos very much. Useful for reviewing at 2 AM in the morning.
I am glad I took the opportunity to complete this course. As a novice, I feel enlightened.
Loved this course! I have a keen interest in anything statistics, and this was a great opportunity to deepen my understanding and attempt using the software.
I enjoyed it!
The course was structured exceptionally well and was highly informative. I truly appreciated the clarity and depth of the content. If possible, I would greatly appreciate if a downloadable PDF version of the course notes could be made available for future reference. I also hope to see more courses like this in the future.
This was an excellent course. Well Structured and informative .
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Great Refresher for making the connections with the old stats I knew. I loved the course, the graphics, the music, etc. Thank you for making things so much easier!!!