Research Portfolio
Bivariate and Multiple Regression
Bivariate and Multivariate Regression to observe interest in politics and in environmental causes, as well as willingness to participate and pay higher prices for the cause, in relation to intellectual levels of tasks at work, age and gender.
Linear Probability Model and Logit Model
Linear Probability Model and Logit Model for the question of whether people consider themselves liberal, under the parameters of age, gender, political views and the amount of young children they have.
SEM two-way cross-lagged model
OLS models with one variable as independent variable and one as dependent variable, and vice versa. Then an SEM two-way cross-lagged model. Variables of interest included how much a person considers themselves religious and how likely they are in support of obtaining gun permits.
Trend Analysis
Trend analysis, both linear and quadratic, was conducted to observe America's levels of happiness over the years. Further, levels of sentiment for suicide in the event of bankruptcy were also observed in gendered subgroups for further insight.