Description
This data analysis course shows how to solve both simple and complex real-life data problems. Basic concepts including data preparation, accessing, cleaning, modeling, modification, visualization, analysis, and interpretation of results. This course focuses on the interpretation of SPSS output to answer specific research questions. Attention is also paid to analysis of ANOVA, multiple regression, logistic regression, ANCOVA, and nonparametric tests.