Quantitative Research
Used to quantify the problem by way of generating numerical data or data that can be transformed into usable statistics.
- Hypothesis Formulation: Establish clear H0 (Null) and H1 (Alternative) hypotheses.
- Sampling: Use random sampling techniques (Simple Random, Stratified) to ensure generalizability.
- Data Collection: Surveys (Likert Scale), Experiments, or Secondary Data.
- Analysis: Use SPSS or Python for Regression, Correlation, or ANOVA.