1 | Course introduction, SPSS data view and variable view presentation |
2 | Basic statistical concepts, SPSS data entry, classifying data, sorting, scale determination |
3 | Descriptive statistics (frequency, percentile, average, mode, median, variance, standard deviation, range, maximum-minimum, skewness, kurtosis), missing data editing. |
4 | Editing data (recode, compute, split file, select case) |
5 | Normality assumptions |
6 | Pearson simple linear correlation analysis |
7 | Simple linear regression analysis |
8 | Repeat lesson |
9 | Midterm |
10 | T tests |
11 | One Way ANOVA |
12 | Nonparametric tests (Mann Whitney U, Wilcoxon, Kruskal Wallis) |
13 | Chi Square |
14 | Interpretation of statistical tables |