SOC100 Lecture Notes - Lecture 7: Inductive Reasoning

• School: University of Alberta
• Department: Sociology
• Course: SOC100
• Professor: Stephen Speake

Document Summary

5: data collection: start collecting your data. 6: data analysis: compile, code, and index data into a format that helps you to learn more about the research problem, time in which you rethink existing interpretation of the material thats already out there. 7: draw conclusions: what does the data tell you, not the place to introduce new material. 8: report findings: researchers must disseminate their findings. To be subjected to peer review: academic conferences and journals. Ethical concerns about the history of mistreatment: particularly true of medical research. Tri council policy statement: concern for welfare. Ie. participation must be voluntary: respect for dignity. Protect confidentiality and anonymity: assumption of justice. Qualitative methods: understand or describe the quality of a phenomenon, frequently uses inductive reasoning. Quantitative methods: uses data points/sets to statistically test hypothesis. Triangulation: uses both qualitative and quantitative techniques, critical approach implying critique. Critique goes beyond neutrality to social justice.