Quantitative and Qualitative Data Collection Techniques for Health Measurements

Measuring someone’s health by means of questionnaires is a challenging task. The concept of health is very broad – it encompasses a person’s physical, social and mental state – which makes conceptualization difficult. In addition, there is a high risk of socially desirable answers, since people like to indicate that they are doing well. Finally, health research is often conducted among people who are not fit or the elderly for whom surveys are a cognitively demanding task.
This course will focus on both qualitative and quantitative data collection techniques to measure health. First, participants will learn about collecting qualitative data on health through semi-structured interviews and researcher driven photo-elicitation interviews. Ensuring the scientific quality of these forms of data collection will be discussed on the basis of Guba and Lincoln’s trustworthiness criteria. Finally, we pay attention to analyzing qualitative data by means of a thematic analysis. Second, participants will learn more about implementation of surveys in hospital waiting rooms, taking the Total Survey Error Framework into account. Special attention will be paid to the design of attitude response scales. This event is sponsored by H.W. Odum Institute.