VO2506 Quantitative Research Methods in Caring Science

The aim of the course is for the student to acquire a deeper understanding of quantitative methods and statistical processing in order to apply these methods to research within caring science. A further aim is for the student to acquire more in-depth knowledge in order, through its application, to demonstrate, reach conclusions and evaluate how the methods are used within caring science.

Prerequisites

For admission to the course applicants must hold a first cycle degree, i.e. BSc, in Caring Science/Care.

Content

• A more in-depth study of statistical tests, parametric and non-parametric
• Multiple regression
• Variance analysis and multiple inference
• Orientation in logistical regression
• Orientation in measurement and test theories
• Orientation in factor analysis
• Epidemiology
• Validity and reliability aspects with regard to dependability, credibility, transferability and neutrality
• Application within caring science with the aid of a statistical program package

Learning outcomes

Following completion of the course the student shall:

• be able to explain, analyse and critically examine statistical concepts
• be able to use different statistical methods and evaluate these methods in a quantitative context.

Generic Skills

The course provides training in the following general skills:

• A critical approach
• Analysis and synthesis
• The ability to relate to basic ideas within caring science
• The ability to relate to sustainable development
• An ethical standpoint

Course literature and other teaching material

Course literature and other teaching material

Learning methods

In the teaching use is made of a research and investigative approach that emphasises the personal responsibility of the student. The teacher-led elements comprise lectures and seminars. Teaching takes place both on-campus and online. Teaching is conducted in Swedish. Some teaching in English could also take place.

Work placement

No work placement is included in the planned learning activities. BTH is aiming for a close contact with the surrounding community when developing courses and programmes.

Teachers

Examiner
Claes Jogréus

Course Manager
Gunilla Borglin

Teacher(s)
Claes Jogréus
Ylva Hellström

Planned learning activities

The teacher-led elements comprise lectures and seminars.

Time allocation

On average, a student should study 200 hours to reach the learning outcomes. This time includes all the various available learning activities (lectures, self studies, examinations, etc.). This estimation is based on the fact that one academic year counts as 60 ECTS credits, corresponding to an average student workload of 1 600 hours. This may vary individually.

Assessments

Code	Title	ECTS credits	Grade
1205	Total evaluation	7.5	U/G

Grading

The course will be graded Fail (U) or Pass (G).

Future exams

No upcoming, centrally coordinated, examinations for this course were found.

To participate in a centrally coordinated examination, you must enroll in Student's Portal, no later than fifteen days before the examination.

Time and location for the examination will be published about 5 days in advance.

There might be other scheduled examinations. Information concerning these examinations are available in It's Learning or at other places that the person who is responsible of the course will refer to.

Course Evaluation

The course manager is responsible for the views of students on the course being systematically and regularly gathered and that the results of the evaluations in various forms affect the form and development of the course.