Quantitative Data Analysis
Learning Objectives
By the end of this chapter, you should be able to:
- Know what to look for in secondary data and how to process it
- Review how to present different kinds of quantitative data (descriptive and inferential statistics)
- Understand how to choose and interpret different statistics for testing of relationships, including ANOVAs, chi-square, T-tests and regressions (linear and logistic)
- Review how to write-up quantitative findings and draw conclusions
- Review big data and visualization in social research
Suggested Timeline: January – Mid-February
