Courses: GLODE304 Quantitative Methods & Research Planning - Autumn 2017
ECTS Credits
10 ECTS
Level of Study
Master's
Full-time/Part-time
Full time
Language of Instruction
English
Teaching semester
Spring
Objectives and Content
This is a continuation of Introduction to Methodology, focussing on planning quantitative research, and the methods of analysis of quantitative data. Students learn the fundamentals of writing a quantitative master¿s thesis proposal, fundamental operations using SPSS, including preparing, screening and cleaning data, producing descriptive statistics, manipulating and transforming data, conducting reliability analysis, choosing the right statistical analysis, calculating correlations amongst variables, and conducting factor, regression, one- and two-way analysis of variance.
Learning Outcomes
On completion of this course the students should have the following learning outcomes defined in terms of knowledge, skills and general competence:
Knowledge:
The student will have in-depth knowledge of:
- The requirements for the master's thesis proposal
- The appropriate use of a range of statistical methods/techniques
- The interpretation of statistical analysis
Skills:
The student has the ability to:
- Code research data into analysable data sets
- Pose study questions that can be addressed using statistical methods, e.g., hypothesis testing
- Model data using alternative approaches and decide on final approaches to an analysis
- Annotate and interpret output from statistical analyses
- Format tables and graphs that present statistical analyses
- Design a research project and write a project plan
General competencies:
- By the end of the course the student:Can think critically, reflectively and creatively about statistical analysis
- Has methodological competencies for statistics-related skills problem-solving
- Can choose appropriate statistical analyses given the nature of the study data
Required Previous Knowledge
Students must have completed GLODE302 Introduction to Methodology or the equivalent.
Access to the Course
Open to all students registered in Master's Programme in Global Development Theory and Practice.
Open to master's students registered in other relevant programmes at UiB.
Teaching Methods and Extent of Organized Teaching
The teaching methods will consist of lectures, computer laboratory sessions and feedback on SPSS analyses.
Compulsory Assignments and Attendance
Hand in of analyses done in SPSS, plus interpretation of results.
Forms of Assessment
Master's thesis project plan
Grading Scale
Pass/not pass
Assessment Semester
Spring
Reading List
Will be made available on 1st December.
Course Evaluation
The course will be evaluated in accordance with the Faculty of Psychology's routines for participatory evaluation and the University of Bergen's Quality Assurance System.
Programme Committee
Department of Health Promotion and Development, Faculty of Psychology
Course Coordinator
Department of Health Promotion and Development, Faculty of Psychology.
Course Administrator
Department of Health Promotion and Development, Faculty of Psychology.
Contact Information
Faculty of Psychology,
Information Centre: studierettleiar.psyfa@uib.no
Tlf: (+47) 55 58 27 10