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the RM teaching & training approach
Our copyrighted RM special training approach consists of the following elements:
1) Big picture approach with a focus on strategies Our training ensures our students do gain a firm understanding of the big research picture, and become capable of fitting learned techniques into a large research plan. 2) Hands-on approach We always require our students to work with some datasets and apply the learned techniques to process these datasets. Our instructors provide a hands-on assistance on processing datasets for a research. 3) Stepwise approach We often divide a method into several steps so that our students can start from simple and move up easily step by step. 4) Web-based approach Today, no one can conduct research without using the Internet. Through our training, we use a lot of web resource to enrich our content and to enrich students' data analysis experience. The RM4Es - equation, explanation, estimation and errors - is a framework helpful for our students to organize knowledge and conduct assessments. 6) Practical approach We always combine our teaching with a subject our students are studying, in order to ensure what they are learning is not just some mathematics, but some practical tools useful for their future research and decision-making. 7) User-friend approach We always teach statistics together with a statistical software packages like SPSS or S-plus. We provide an easy way for our students to learn about clicking on a statistical software to produce quick results.
All the above seven approaches enable our students to learn statistics and research methods in a fun and easy way. All our students find statistics useful and powerful, and finally become capable of using statistics as a tool for their research and decision making.
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