About this program
Statistical Methods for Research is designed to provide graduate students with a strong foundation in statistics, covering key areas such as confidence intervals, hypothesis testing and statistical modeling.
The program provides the vast majority of Master's level students with the statistics they will need to complete their research reports, and provides doctoral students with the statistics they need to understand and evaluate the statistical test models they will use in their research.
Taking a cross-disciplinary approach and compatible with all major statistics packages, this program will be rich with scenarios, practical applications and interactive statistical models and will be supported by optional peer-to-peer online forums and interaction.
The course is based on the design of a highly successful course from the University of Reading, UK, that has recorded an average improvement of 122% in students' performances.
Higher Education View
In 45 experimental studies with a control condition, computer-assisted statistics instruction provided a meaningful average performance advantage (d = 0.33).
For
Graduate students who require a foundation course in statistics, covering key areas such as confidence intervals, hypothesis testing and statistical modelling.
Lead Advisor
Sandro Leidi
Senior Statistician, University of Reading
Free Trial:
Free one-week trial to any university wishing to review our courses and assess their suitability for students and staff.
Contact:
Andrew Mahaffy
- +1 (315) 657 4562
Statistical Methods For Research
The contributors to this program include
Sandro Leidi
Lead advisor
Senior Statistician, University of Reading
Developed in conjunction with
- University of Birmingham
- University of Brighton
- Brunel University
- Dublin Institute of Technology
- Edith Cowan University
- University of Huddersfield
- London Metropolitan University
- University of Reading