Data analysis using IBM SPSS software
Includes data review. Inputting and coding. And cleaning.
Calculating the value of validity and reliability. Using Cronbach's alpha coefficient. And others
Finding descriptive statistics.
Frequencies. Mean, and standard deviation.
Studying scientific hypotheses through parametric and non-parametric tests.
Chi-square test.
Correlation and Regression
Pearson, Spearman, or Kendall correlation coefficient.
Hypothesis testing.
One sample or two samples
Or more than two samples. One way ANOVA test
Extracting results and recommendations
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