10:10 - 10:40
Get data and installing the required softwares
10:40 - 11:20
Learn how to build database, coding, descriptive, reliability, consistency analysis, type of variables, chi-square (test of independency), normality analysis, graphs.
11:30 - 12:15
test of hypothesis, t test, paired test, ANOVA, ANCOVA, parametric, non-parametric, repeated measures ANOVA.
12:30 - 1:15
correlation analysis, modeling (regression, logistic regression, GLM).
02:00 - 03:00
Reporting results (academic and non academic interpretations)
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