Learning and Assessment Objectives
Knowledge and understanding
By the end of the course, students should have acquired:
a) Advanced knowledge of the interdependent roles of substantive theory, methods of data collection and statistical methods of analysing data,
b) A thorough understanding of problems inherent in designing, executing and evaluating research projects and published work.
These will have been acquired via:
a) Direct transmission in classes,
b) Discussion with tutors and peers,
c) Independent study,
d) Direct practical experience.
Assessment will have been based on a dissertation (an original investigation supervised by an expert on the topic) and on coursework relating to the courses (ranging from assignments involving traditional essays to the writing up of practical work and other exercises).
Skills and other attributes
Students will have gained essential practical skills associated with conducting social statistical research, including:
a) Research design, data analysis, modelling and interpretation,
b) Using a range of software,
c) Synthesising information from a variety of sources,
d) Oral and written presentation skills.
Students will have been encouraged to relate their work and interests to those of researchers from the increasingly interwoven areas of education, health, industry, social services, criminal justice, market research, housing and ethnic relations. They will also have developed skills of scientific reasoning and analysis. The dissertation will have provided the opportunity to consolidate these skills by experiencing the research process on a large scale. Presentation skills can be considered transferable. These skills will have been assessed through judgement of students' written work and oral presentations.