Contributors: Myrah Malik- MSc Student, Smruthi Ramachandran – MSc Student & Gordon Tao – PhD Student
Throughout the graduate program, we have taken courses that helped review statistical methods, research designs/methods and provide context to our research proposal. We recommend discussing with your supervisor as they will have the best recommendation for courses! Here are the courses we have taken outside the required rehabilitation science courses and our thoughts on them:
Statistical Design
Course Code
Course Content
Recommendations
EPSE 592
Introduction to one-way ANOVA, RM ANOVA and ANCOVA
- Makes up the backbone of skills you need to conduct and interpret statistical methods in quantitative rehab science
EPSE 596
Conceptual foundation, model construction and interpretation of multiple regression
- Good refresher of statistics that may be taught in undergrad
- Most challenging part may be Introduction to R and scripting/coding if you prior experience however it’s an important research skill to have!
SPPH 400
Introduction to hypothesis testing, statistical inferences, simple/multiple linear regression
- Very helpful for those interested in understanding the foundation of statistical analyses
- Make it in your first semester as it’s a prerequisite for many other follow up statistic courses
- Learn to use R
Research Methodology
Course Code
Course Content
Recommendations
NURS 548
Qualitative Research: Methods covering varied approaches to asking and answering qualitative questions
- Gain an understanding of the strengths and limitations in epistemological and ethical approaches
- Provides background to select appropriate methodology and methods for your research
- Practice critically evaluating qualitative studies of all types
- Even if you’re primarily looking at doing quantitative research, rehabilitation invariably involves human experiences of health conditions and experiences of care. So, engaging with qualitative lenses can still benefit you!
SPPH 502
Intro to epidemiology:Prevalence vs. incidence, surveillance, prognosis, screening etc. (Distributed Learning)
- If your thesis requires an understanding of epidemiological concepts then I would recommend taking it
- The distributed learning (DL) is very self-paced and does not have a lot of structure outside of the biweekly lectures assignment due dates, and exams. If you learn better with clear-cut road maps and course structure, don’t take the DL section.
SPPH 512
Design and Analysis of Clinical Trials
- Everything you need to know about designing a robust RCT
- Everything you need to know about failing to carry out a robust RCT because it’s real hard
Other Courses
Course Code
Course Content
Recommendations
EPSE 511
Special Topics in Human Development, Learning and Culture
- Course will vary in context as it is a special topics course so it’s subject to the professor teaching
- If you love learning about how environmental factors can affect a child’s social, psychological and physical development I would highly recommend taking it!
- Very fast paced (took in summer) but a fun, engaging applicational course (get to create educational pieces that will help educators, and families in teaching key concepts taught in the course to children)
EPSE 516
Development and Education of Highly Able and Creative Learners
- Learning historical and theoretical context of the word “gifted” and how it has been defined
- Focused on teaching strategies/approaches that can be used for “gifted” learners
- Final project was implementing a therapeutic approach that can help solve discourse in their lives
- Highly recommend IF you are interested in working/may encounter this population
- Takeaway: we are all gifted in our own way!
DMED
Centre for Digital Media Courses
- Courses in game design and digital media
- Need to circulate and sign Western Dean’s Agreement