Module 8. Quantitative Analytic Techniques, Part 2

  • Thomas Belin PhD; University of California, Los Angeles
  • Edward J. Miech, PhD; Regenstrief Institute, Indianapolis, IN

Training Materials

View Presentation (PPTX, 2.5 MB)
video icon Watch Recording (MP4, 91.0 MB)

Module Summary

  • Challenges to internal and external validity
  • Foundations for statistical inference and the role of randomization
  • Strategies for enhancing precision of inferences
  • Statistical issues arising from clustering/nesting of sub-units within units
  • Configurational comparative methods

Reading Materials

Web Resources

Self-reflection Questions

  • What type of quantitative research question are you trying to answer?
  • What are you measuring, manipulating and/or controlling?
  • What are you using for your dependent, independent, categorical, and continuous variables and how do they apply to the analytic methods?
Last Updated: 20 May, 2024