Quantitative Research Methods (MPH100)

This is an introductory course in statistics and quantitative research methods. The course focuses on the understanding of fundamental concepts, and corresponding terminology, related to different quantitative research methods and statistical analyses. 


Course description for study year 2025-2026. Please note that changes may occur.

See course description and exam/assesment information for this semester (2024-2025)
Facts

Course code

MPH100

Version

2

Credits (ECTS)

5

Semester tution start

Autumn

Number of semesters

1

Exam semester

Autumn

Language of instruction

English

Offered by
Time table

View course schedule

Content

  • Quantitative research methods and statistics

Learning outcome

A candidate who has completed this course should have achieved the following learning outcomes defined in terms of knowledge, skills, and general competence:

Knowledge

The student

  • Know the basic concepts and principles of descriptive statistics
  • Know the basic concepts and principles of bivariate analyses
  • Know the basic concepts and principles of regression analyses

Skills

The student

  • Can perform descriptive analyses of a data set using SPSS and interpret the results
  • Can perform the appropriate bivariate analyses of a data set in SPSS and interpret the results
  • Can perform simple regression analyses of a data set in SPSS and interpret the results

General competence

The student

  • Can critically appraise the appropriateness and quality of basic statistical analyses in scientific publications

Required prerequisite knowledge

None

Exam

Form of assessment Weight Duration Marks Aid
Written exam 1/1 4 Hours Letter grades Approved, basic calculator, Own notes 1), Scantron,

1) A one-sided A4 sheet with your own notes can be taken into the exam

Coursework requirements

80 % attendance

Students must have 80% class attendance to be allowed to take the exam. Students who are unable to achieve 80% documented class attendance can apply to the course coordinater for an individual assignment. Note that absence from class attendance are granted only in special circumstances.

Course teacher(s)

Course coordinator:

Jo Røislien

Study Program Director:

Daniel Adrian Lungu

Method of work

Lectures, group work and individual work.

Overlapping courses

Course Reduction (SP)
Scientific Methods (MPH100_1) 5
Scientific Methods (FXSM100_1) 5
Scientific Methods, Scientific Methods ( FXSM100_1 MPH100_1 ) 15

Open for

Candidates with a relevant bachelor’s degree within health care may apply for admission to the course

Course assessment

The faculty decides whether early dialogue will be held in all courses or in selected groups of courses. The aim is to collect student feedback for improvements during the semester. In addition, a digital course evaluation must be conducted at least every three years to gather students’ experiences.

Literature

The syllabus can be found in Leganto