Site Accessibility Statement
Wilfrid Laurier University Faculty of Education
October 21, 2017
Canadian Excellence

Dr. Carolyn FitzGerald

Contract Academic Staff

Contact Information
Phone: ext.4198

Office Location: BA314F
Office Hours: TBD
Academic Background

University of Western Ontario, Ph.D., Clinical Psychology

University of Western Ontario, M.A., Clinical Psychology

Queen's University, B.A. (Honours), Psychology

Dr. FitzGerald teaches the winter term EU504 Quantitative Research Methods, and has taught EU401 Learning and Child Development.  Her research interests include the prevention of violence in adolescent dating relationships, and the long-term consequences of childhood trauma on adult relationship formation.  Dr. FitzGerald is also interested in program development and the practical application of research to direct service work.  At present, she is focusing on developing effective strategies to teach quantitative research methodology to students in a way that is comprehensive yet practical and easily understandable.
Additional Information

For Students Considering EU504 Quantitative Research Methods:

In this course, students will learn principles of good research design (this will help you to evaluate other people's research and to design good quality research yourself) and how to read, interpret and critically evaluate quantitative results.  At the broadest level, we will cover descriptive, associational, and inferential statistics.  Specific topics I aim to cover include standard deviation, variance, correlation, nonparametric techniques, surveys, experimental issues, reliability, validity, statistical inference, t-tests, F-tests, ANOVA, regression analysis, and analysis of categorical variables. 

Students need not be advanced mathematicians to succeed in this course!  Instead of focusing on learning complicated formulas to compute statistics without the aid of software package, we will spend our time focusing on the definition of each topic, its importance, its uses and its limitations.  Students who have taken other courses on statistics or research methodology will likely benefit from this knowledge, but the ability to think clearly and logically will likely be the most important asset a student will bring to the experience.