week 3 - Quantitative methods and surveys
Section outline
-
This week we introduce you to quantitative methods – research methodologies that rely on measurements of phenomena and identification of variables describing events, analysed through statistical techniques.
We start by considering the importance of UNICEF's Multiple Indicators Cluster Surveys to evaluate and compare population health in different countries. Some of you may decide to use MICS data for your own dissertations.
After providing definitions of methods such as Randomised Control Trials (RCTs), experiments and population surveys – all relying on numbers and statistics – we explore the strengths and weaknesses of quantitative methods, in comparison to qualitative methods (to be discussed next week). We look at survey methodology in some detail – probably the most common quantitative method used in social sciences. The discussion covers the steps followed to conduct surveys, such as selecting a representative sample, and designing your survey questionnaire and a plan of analysis for the variables.
For our challenge activity we return to the Glasgow effect. After reading some relevant BMJ guidelines, you will be asked what kind of survey you would design to understand the causes of health inequalities in the Scottish city.
Learning outcomes
By the end of this session, you will be able to:
- Identify the main types of quantitative methods for conducting research;
- Understand the data requirements for such methods;
- Be familiar with the steps involved in designing surveys.
-
-
Use this link to take you to an external link with relevant information