MINA311 Social Science Research Methods

Credits (ECTS):10

Course responsible:Stian Stensland

Campus / Online:Taught campus Ås

Teaching language:Norsk

Limits of class size:35

Course frequency:Annually

Nominal workload:250 hours.

Teaching and exam period:The course starts at the spring semester. The course involves teaching/grading during the spring semester.

About this course

The course enables you to plan and carry out a master's thesis or research project using social science methods for nature-based tourism, outdoor recreation and natural resource managemnet (including forestry or renewable energy). The course deals with research design/method, data collection and analysis, and is built around the requirements and skills set for the students' master's thesis using a qualitative (eg interview) or quantitative (eg questionnaire) method. From the design of a researchable problem via the choice of method and implementation of data collection to processing, analysis and presentation of results.

Statistical analyzes are reviewed, such as the most commonly used parametric and non-parametric tests, analysis of variance (ANOVA), factor analysis and regression. Furthermore, qualitative data, digital data (incl. images) and observational studies are analyzed.

The course contains three assignments:

1) A group assignment in which the students conduct a qualitative data collection and analyze their findings

2) A group assignment based on available quantitative data, where students will analyze, interpret and then write a report.

3) An individual assignment that consists of creating a project plan for completion of the master's thesis, ie first a brief introduction to the topic and a small outline of an intended problem, and then a more detailed justification for the choice of method and a more detailed description of the chosen method.

Learning outcome

Knowledge: The student shall be able to plan a master's thesis or research studies using a social science method. The student should be able to describe and evaluate possibilities and limitations of the most common quantitative and qualitative methods used in social science research. Furthermore, be able to assess which method should be chosen for different issues, and how the design of a study determines which conclusions can be drawn.

Skills: Students shall be able to design and use different methods for data collection (interview, questionnaire, digital data, observation, etc.) for qualitative and quantitative analyzes. Students shall be able to use questionnaire tools and programs for analyzes of qualitative and quantitative data. Furthermore, be able to apply statistical analyzes, and analyze digital data (incl. Images) and observational studies.

General competence: The student shall be able to practice good research ethics in the organization and implementation of a research project/master's thesis. Furthermore, be able to conduct empirical research and collaborate with researchers.

  • Learning activities
    The course is based on a combination of lectures, exercises, group and individual work.
  • Teaching support
    Teachers are available during lectures and exercises, or upon appointment.
  • Prerequisites
    Basic statistics, STAT100 or equivalent.
  • Assessment method

    Combined assessment:

    Assessment of one individual assignment and two group assignments. All three must be passed in order to pass the course.



    Group Assignment 1 (qualitative methods) Grading: Passed / Not Passed Written hand-ins Grading: Passed / Not Passed Group assignment Grading: Passed / Not Passed
  • Examiner scheme
    External examiner participates in preparing the assignement questions and sensor guidelines in the course.
  • Mandatory activity
    Compulsory attendance at exercises, and presentation of individual project plan
  • Teaching hours
    4 hours of lectures/exercises per week.
  • Preferential right
    M-REIS
  • Reduction of credits
    10 ects against REIS310.
  • Admission requirements
    General study competense (GSK).