​Bianca Manago
  • Home
  • Curriculum Vitae
  • Research
  • Teaching
    • 6311: Multivariate Analysis I
    • Categorical Data Analysis
    • Workflow of Data Analysis
    • UG: Statistics for Social Scientists
    • UG: Race, Gender, Health
Categorical Data Analysis

Topics include:
  • Linear regression models
  • Logit and probit models 
  • Hypothesis testing and model fit
  • Odds ratio interpretations
  • Average marginal effects and marginal effects at the mean
  • Mediation, moderation, and non-linear terms
  • Ordinal regression models vs. multinomial models
  • Count models (Poisson, Negative Binomial, Zero-Inflated)
  Resources
  • Syllabus, Fall 2016
  • Resources Folder (do-files, lab/lecture notes, and articles)
  • Home
  • Curriculum Vitae
  • Research
  • Teaching
    • 6311: Multivariate Analysis I
    • Categorical Data Analysis
    • Workflow of Data Analysis
    • UG: Statistics for Social Scientists
    • UG: Race, Gender, Health