MET501A Research Designs and Methodological Choices
The purpose of the course is to enhance and reinforce knowledge and understanding of the various steps in the research process. Hence, students should develop skills needed to formulate research questions, develop a design for answering those questions, and implement and evaluate the research effort. Students will be exposed to a number of research strategies and issues. Although different research strategies will be more relevant to some disciplines than others, a broader view of the research process should enable students to identify strengths and weaknesses of empirical research efforts in various disciplines. Thus, the goal of the course is not only to improve the student´s research skills, but also to become a better consumer of research.
Although this is not a statistical course, certain topics (e.g., measurement and experimental design) are tied to statistical analysis. Hence, a basic understanding of statistics (e.g. correlation, regression, analysis of variance) is assumed.
The course will cover research related to:
* experimental and
* quasi-experimental designs,
* survey designs
* suggestions from the participants to cover additional research approaches might be accommodated, e.g. by offering additional lectures
In addition to introduction and overview of the various research approaches, the course will include critical evaluations of selected empirical studies.
After completing this course, the candidate can...
- Evaluate the appropriateness and application of different methods and processes in research and scholarly development projects
- Contribute to the development of new knowledge, new theories, methods, interpretations and forms of documentation in the field
- Formulate problems, plan and carry out research
- Critically carry out research and scholarly research work of a high international standard
- Assess complex academic issues and challenge established knowledge and practice in the field
- Critically assess measurement of construct
- Perform analysis of the quality of measurement
- Carry out his/her research with scholarly integrity
- Critically assess the relationship between problem formulation and research design
- Assess and explain the role of design in the testing for causal relationships
Intensive course. The course will be in a digital format. The course will be conducted as a blend of lectures and discussion of selected parts of the course materials, as well as critical evaluations of selected empirical studies. In addition the participants own research problems will also be addressed.
Active participation is expected, including discussion of selected parts of the course materials.
Prior to the course participants are expected to submit a research proposal addressing the participants research problem, how this relates to prior insights, as well as how the research problem is planned (thought) researched empirically. Also, before the first course day prepare a few transparencies (2-3) addressing the research problem, how it relates to present insights, and how it is planned research.
PhD candidates from NHH as well as PhD candidates from other institutions can take part in the course.
A basic understanding of statistics is recommended.
No specific, although a basic understanding of statistics is recommended. A tutorial (2 days) in statistics will be offered if requested.
Requirements for course approval
Course approval will be based on active participation, including discussion of selected parts of the course materials.
Prior to the course each participant is expected to submit a research proposal addressing the participants research problem, how this relates to prior insights, as well as how the research problem is planned (thought) researched empirically. Also, before the first course day prepare a few transparencies (2-3) addressing the research problem, how it relates to present insights, and how it is planned research.
Four hour home exam.
Students should be familiar with basic statistical methods and preferably have some knowledge of basic statistical software (like R, SPSS, SAS, STATA, Minitab or Excel).
Gerring, John (2011): Social Science Methodology: A Unified Framework, 2nd edition, Cambridge University Press.
In addition there will be included selected articles and book chapters (H) expected to be read by the participants. The outline with complete list of readings will be available in due time prior to the course.
- ECTS Credits
- Teaching language
Autumn. Offered Autumn 2021 (August).
Professor Einar Breivik, Department of Strategy and Management.