PHVIT9530 Assessment and Methods of Measurement Course description

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.

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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

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.

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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

• can critically assess different scientific theories in the health sciences
• can assess the usefulness of using qualitative, quantitative, and mixed methodologies in research processes in the health sciences
• has a command of the key principles of qualitative and quantitative methods of analysis

Skills

The PhD candidate can

• articulate research problems, and plan and make methodological decisions in his or her own doctoral work
• identify ethical issues and address them on the basis of established principles of ethical research
• critically assess the strengths and weaknesses of health science research projects
• address requirements in the Health Research Act and the Personal Data Act governing research activities

General competence

The PhD candidate can

• participate in debates on theoretical, ethical and methodological issues in the health sciences
• assess different research practices in the health sciences from theoretical and methodological perspectives

Work and teaching methods consist of lectures, seminars, and self-study. The outcomes of the seminars are presented and discussed in plenary sessions.

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Individual home examination based on specific questions. To be submitted no more than 2 weeks after the end of the course. Answer papers must consist of up to 5,000 words.