This is a hands-on workshop held in a university computer lab, designed for anyone who is regularly involved in research and data analysis. Data management topics covered include: merging data sets, concatenating data sets, subsetting data sets, creating new variables, creating formats, and using functions to create new variables.

Data analysis procedures covered include:

• Analysis of Variance — one-way, two-way and repeated measures Analysis of Variance, interaction effects, post hoc tests and plots
• Regression analysis — simple and multiple regression, standardized beta-weights, partial r-squared, diagnostic plots
• Non-parametric statistics — chi-square, odds-ratio and logistic regression