​Undergraduate

RACE, GENDER, HEALTH

Will be updated soon

STATISTICS FOR SOCIAL SCIENTISTS​

Will be updated soon

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Graduate

Categorical Data Analysis

Topics:​

• 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)

Workflow of Data Analysis using Stata

Topics:

• Planning of research
• Data Management
• Reproducibility of findings
• Organizing, backing up, and archiving files
• Writing robust  programs for data analysis
• Using automation (basic programming methods) to work more accurately and efficiently
• Software to increase efficiency

​Resources:

•   Pathfinder Tips and Tools 
•   Mendeley Setup