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


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Practicing and Presenting Social Research Copyright © 2022 by Oral Robinson and Alexander Wilson is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, except where otherwise noted.

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