Data analysis using IBM SPSS software
Includes data review. Entering and coding it. And cleaning it.
Finding the value of validity and reliability. Through Cronbach's alpha coefficient. And others...
Finding descriptive statistics.
Percentages; Frequencies; Mean; Standard deviation.
Studying scientific hypotheses through parametric and non-parametric tests.
Chi-square test.
Correlation and Regression
Pearson, Spearman, or Kendall correlation coefficient.
Difference tests.
One sample or two samples
Or more than two samples. One way ANOVA test
Exploratory Factor Analysis.
Time Series Analysis.
Path Analysis.
Drawing conclusions and recommendations
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