Over a span of 18 years, I have used a number of statistical models for my personal research and for different clients. Some of the purposes for which I have used these models include testing differences in distributions (e.g., chi-square tests, Wilcoxin signed rank test), differences in means and medians (e.g., t-test, ANOVA, Mann-Whitney test), linear models (e.g, multiple and logistic regression, discriminant analysis), and other methods that study relationships between respondents and scale items (e.g., cluster and factor analysis). Over the past 6 years, I have also been working with machine learning algorithms like decision trees, random forests, bagged trees, artificial neural networks, and support vector machines.