Statistical Analysis with IBM SPSS
- Working Different File Types in SPSS
- Descriptive Statistics using SPSS
- Independent Sample t-test Comparing two Independent Group Means
- Paired Sample t-test Comparing Differences between two correlated group means
- One-Way ANOVA Comparing Differences between more than Two Groups
- Linear Regression Cause and Effect Analysis of One IV on One DV
- Multiple Regression Cause Effect of Many IVs on One DV
- Hierarchical Regression Analysis
- Exploratory Factor Analysis
- Chi-Square Test
- Reliability Test
- Graphical Presentation & Data Visualization etc.
Statistical Analysis with R Programming
- Creating bar & pie charts for Categorical variables
- Creating histograms and box plots for quantitative variables
- Overlaying plots, save images, challenge layering plots, solution layering plots
- Statistics for one variable, calculating frequencies & descriptives, use of single proportion hypothesis test and confidence interval
- Using a single mean and Hypothesis test and confidence interval
- Using a single categorical variable one-sample chi-square test
- Selecting cases, analyzing subgroups, and merging files
- Examining robust statistics for univariate analysis
- Creating bar charts of groups means, grouped box plots, scatter plots
- Calculate correlation, bivariate regression, compare means with the t-test, paired means paired t-test
- Compare means with one-factor analysis, compare proportions, create cross tabs for categorical variables, compute robust statistics for bivariate associations
- Compute multiple regression, compare means with two-factor ANOVA, conduct cluster analysis, conduct a principal components factor analysis, etc.