course-details-portlet

SMF2292F - Quantitative and Qualitative methods

About

Examination arrangement

Examination arrangement: School exam
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
School exam 100/100 4 hours KALKULATOR

Course content

  • Developing research questions in empirical research;
  • Quantitative and qualitative study design;
  • Questionnaire surveys;
  • Descriptive statistics;
  • Hypothesis testing and inference statistics;
  • Correlation measures;
  • Analysis of variance (ANOVA);
  • Regression analysis;
  • Qualitative interviews and focus groups;
  • Observation and document analysis;
  • Analyzes of qualitative data;
  • Validity and reliability;
  • Interpretation and discussion of data;
  • Introduction to "Big data" in business and management;
  • Ethical issues in empirical research.

Learning outcome

Knowledge:

After completing this course, students should have acquired knowledge on how to carry out empirical research in the domain of economic and business administration. This includes knowledge about:

  • Research problems and corresponding research questions and how these lay the premises for the research process;
  • Qualitative and quantitative research designs and corresponding methods of data collection;
  • Methods for analysing of qualitative and quantitative data;
  • Criteria for assessing the quality of empirical research;

Skills

After completing the course, students should be able to carry out empirical research by applying both quantitative and/or qualitative methods. This includes being able to:

  • Run statistical analyzes and interpret results using statistical software;
  • Assess the validity and reliability of empirical research projects;
  • Report and communicate main results and draw conclusions from empirical research projects.

General competence:

The course shall provide a solid academic basis for:

  • Being able to select a valid methodological approach in empirical research and business analysis
  • Collect and analyze quantitative and qualitative data

Develop the ability to critically reflect on methods and be able to reflect on the implications of empirical findings.

Learning methods and activities

Lectures videos

Videos from exercises with an introduction to the use of statistical software

Group work with compulsory tasks

Additional information: Information about compulsory tasks is given at the start of the semester. The compulsory tasks must be approved in order to take the exam.

Compulsory assignments

  • Approved exercises

Further on evaluation

Re-sit of written exam in August.

Approved assignments from earlier years are valid until substantial changes are done with respect to course content.

Specific conditions

Admission to a programme of study is required:
Business Management (BØKLED-F)

Course materials

To be decided at the beginning of the semester

Credit reductions

Course code Reduction From To
SMF2292 7.5
SMF3071 5.0 AUTUMN 2018
SMF3081 5.0 AUTUMN 2018
SMF3081F 5.0 AUTUMN 2018
More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Intermediate course, level II

Coursework

Term no.: 1
Teaching semester:  SPRING 2025

Language of instruction: English, Norwegian

Location: Gjøvik

Subject area(s)
  • Economics and Administration
Contact information
Course coordinator:

Department with academic responsibility
Department of Industrial Economics and Technology Management

Timetable

List view
Calendar view

Examination

Examination arrangement: School exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD School exam 100/100 KALKULATOR INSPERA
Room Building Number of candidates
Summer UTS School exam 100/100 KALKULATOR INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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