HLTA02H3 Lecture Notes - Lecture 4: Snowball Sampling, Statistical Significance, Quota Sampling
Document Summary
Ontology study of the form and nature of reality. Epistemology study of how we come to know things about the world. Methodology different principles, philosophies and approaches governing research. Methods tools we can use for data collection and analysis. Probability sampling design: sampling is the process of selecting units from a population of interest. Social class, winners in a race: interval. Some characteristics as interval data but there is an absolute zero. Ratio of the data values is meaningful. Multi-method in focus involving an interpretive, naturalistic approach to its subject matter. Concerned with how the social world is interpreted, understood, experienced, and produced. Data generation is completed in a flexible way and this data is sensitive to the social context in which it is produced. Based upon methods of analysis and explanation building that demonstrates understanding of complexity, detail and context. Methods commonly associated with interpretivism: semi-structured or unstructured interviews, participant observation, focus groups, secondary discourse analysis, qualitative document analysis.
