Course description forPHVIT9530 Assessment and Methods of Measurement

Introduction

This course offers an overview and adopts a critical perspective of different types of mapping, testing, and evaluation of health-related activities at individual, group, and society levels. The course covers mapping, testing, and evaluating quality of life, mental health, physical health, functional ability, and disease mechanisms. It will take a critical look at the classification of measurement methods as disease-specific vs. generic, and self-reported vs. performance-based, as well as screening vs. diagnostics, quantitative vs. qualitative evaluation, and standardisation vs. individualisation.

Required preliminary courses

None

Learning outcomes

On completion of the course, the PhD candidate has achieved the following learning outcomes, defined in terms of knowledge, skills, and general competence:

Knowledge

The PhD candidate

  • is at the forefront of knowledge of conceptual understanding and of theories on the significance of different types of scientific instruments for measuring, testing, evaluating, and assessing health
  • is at the forefront of knowledge of national and international mapping systems for health indicators

Skills

The PhD candidate can

  • critically evaluate different theories and approaches with methodological significance for measuring, testing, evaluating, and assessing
  • apply measurement methods, testing, evaluation, and assessment to his or her own research project
  • critically reflect on and evaluate different psychometric properties of measurement methods, tests, evaluations, and assessments
  • address the results of mapping, testing, and evaluation applied in health science research

General competence

The PhD candidate can

  • discuss ethical and social issues associated with different types of measurement methods, testing, evaluation, and assessment
  • present and discuss knowledge of methods of measurement, testing, and evaluation in the health sciences

Teaching and learning methods

Work and teaching methods consist of lectures, seminars, self-study, and practical exercises in the use of different software programmes for statistical analysis The outcomes of the seminars are presented and discussed in plenary sessions.

Course Requirements

None

Assessment

Candidates must write an essay based on a problem of their choice and discuss theoretical and research challenges associated with the use of one or multiple methods of measurement. The essay must consist of up to 5,000 words and must be submitted no more than 2 weeks after the end of the course. 

Permitted Exam Materials and Equipment

All

Grading scale

Pass / Fail

Examiners

One internal and one external examiner will assess the answer papers submitted by all candidates.

Admission requirements

This course is primarily aimed at PhD candidates admitted to the PhD Programme in Health Sciences but is also open to other applicants. Admission requirements are a completed hovedfag, master's degree (120 credits) or equivalent qualification.

The course can also be offered to students who have been admitted to the "Health Science Research Programme, 60 ECTS", by prior approval from the supervisor and based on given guidelines for the research programme.

Course information

Course name in Norwegian
Måling og målemetoder
Study programme
Fall: Doktorgradsstudium i helsevitenskap
Weight
5 ECTS
Year of study
2020
Curriculum
FALL 2020
Schedule
FALL 2020
Programme description
Fall 2020: Doktorgradsstudium i helsevitenskap
Subject History