Quantitative Analysis
- Descriptive analysis and simple hypothesis testing
- Multivariate linear regression
- Logistic and Probit regression, including multinomial and ordered approaches
- Methods for count data including poisson and negative binomial models
- Longitudinal data analysis, including fixed and random effects
- Event history and survival analysis
- Multi-level modeling for linear and nonlinear outcomes
- Factor and principal components analysis
- Latent class analysis
- Structural equation models and simultaneous equation models
- Hayes process modeling
- Propensity score matching
- Imputation methods for missing data
- Data visualization and graphics
- Social network analysis
- Survey sampling methods (including weighting)
- Spatial data analysis
- Nonparametric tests
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