tailieunhanh - introduction to spss RESEARCH METHODS & STATISTICS HANDBOOK PHẦN 8

Một ví dụ: Hãy xem xét ba ngựa trong cuộc đua. Mã hóa các lần đua theo một mức độ danh nghĩa sẽ cho chúng tôi biết nếu có con ngựa thắng cuộc đua hay không (ví dụ như Guttman "Folly đã không giành chiến thắng). Mã hóa theo một thứ tự, chúng ta có thể nói với một con ngựa nào đến so với những người khác (ví dụ như Guttman "Folly đứng thứ hai). | Introductory Module Statistics Methods Timetable Module Code PSYC640 Module Level MSc No. of Credits 30 Course Convenor Dr. Laurence Alison Teaching Staff Dr. Alison Prof. Canter Dr. Lovie Dr. Downes This module is designed to refresh students memories of basic principles of research design and to introduce some basic concepts and ideas to students unfamiliar with such material. It will also prepare students for some of the more complex material to be covered in semester 2 advanced statistics as well as introduce them to the range and breadth of qualitative approaches available for research. The central aims of this module are to demonstrate different approaches and perspectives on research design statistics and qualitative methods and illustrate the benefits of an awareness of these different perspectives. Students should be aware that the majority of their learning should occur outside of the lectures where approximately 1 hour of lecturing equates to 6 hours independent study time. During these periods students will be required to work on projects collect materials for research and prepare reading for subsequent lectures. Students should consult with their respective supervisors with regard to project proposals and the onus is on the student to develop a project in consultation with their chosen supervisor. Supervisors available include Dr. Alison Dr. Lovie and Dr. Stott although students are encouarged to team up with potential PhD supervisors and other members of staff. Dr. Alison should be the first point of contact in this regard. Lectures start at and finish at on Wednesday mornings and begin on 2nd October 2002. The last lecture in this module will be on 11th December. Most lectures are followed up by a practical. Practical sessions occur on a Thursday afternoon at and last approximately 2 hours. For many of these sessions you will be given data that you can work with outside of the practical session so that you may practice .