CRIM 2653 Lecture Notes - Lecture 3: Standard Deviation, Artificiality, Superficiality
Document Summary
Standard deviation: most widely used, low value (closer, higher value (dispersed) Methods: representativeness sample represents target population, generalizability, objectivity, replication. Disadvantages of quantitative methods: reductionist want to apply to same methods in the animal kingdom to human, complexity of social relations, society, superficiality, lacks flexibility, depth. Dis/advantages - qualitative: advantages, participants" account, meaning deep understanding, disadvantages, subjectivity, lack of replication, labour intensive. Complementary strength & weaknesses: deep immersion/rich data, context/small number of cases, verstehen, replicability/generalizability, causation. Defining mixed methods: holistic, comprehensive complete, qualitative and quantitative, data collection & analytical techniques, non consensus, two+ research methods. Using mixed methods: validity, overcomes limitations, complement strength finding strength in multiple forms of methods and the use for multiple methods, methodological pluralism. Philosophy: mixed methods can be controversial because people are on either side and not in the middle, crosses rigid methodological boundaries, positivism, pragmatism, compatibility of methods.