📌 Purpose: To describe, explain, predict, investigate.

📌 Types:

•📊 Quasi-Experimental → Compares groups but lacks full control.

•📅 Cross-Sectional → Collects data at one point in time.

•📋 Survey → Uses questionnaires for numerical data.

📌 Key Approaches:

•✏️ Descriptive Research → Describes a situation without finding relationships.

•🔗 Correlational Research → Examines relationships between two variables (helps in prediction).

📌 Purpose: To understand deeper meanings & abstract concepts.

📌 Types:

•📖 Case Study → In-depth study of 1 or a few individuals.

•🎯 Action Research → Practical research to improve a situation.

📌 Data Collection:

•👀 Observations

•🗣 Interviews

•📄 Document Analysis

📌 Order of Use:

•Start with Qualitative → Explore deeply.

•Follow with Quantitative → Measure & validate findings.

•Percentage

•Mean

•Mode

•Median

•Standard deviation

•Frequency

•T-test → Compares means between groups

•Correlation → Finds relationships between variables

•Pearson

•Spearman

•No focus on numerical statistics

•Uses observations, interviews, and document analysis instead

•More about themes, patterns, and deeper understanding

1. Treatment Group (receives the intervention)

2. Control Group (does not receive treatment)