Understanding Data Types and Measurement

📋 Course Outline

1. Data Types
2. Primary Data Collection
3. Secondary Data Sources
4. Qualitative Data
5. Quantitative Data
6. Subjective Data
7. Objective Data
8. Measurement Levels
9. Nominal Scale
10. Ordinal Scale
11. Interval Scale
12. Ratio Scale

📖 1. Data Types

🔑 Key Concepts & Definitions

• Primary Data: Data that is original and collected firsthand through research methods such as surveys or experiments (see section 1). It provides direct insights specific to the study’s objectives.
• Secondary Data: Existing data gathered from second-hand sources like scientific journals, reputable websites, and databases (see section 2). It is used for analysis without direct collection efforts.
• Qualitative Data: Descriptive data that captures qualities or characteristics, often gathered through open-ended questions, interviews, or observations. It requires interpretation to identify patterns and themes (see section 3).
• Quantitative Data: Numerical data that allows for statistical and mathematical analysis, including counts, scores, times, and measurements (see section 4). It is often collected using instruments.
• Subjective Data: Personal opinions or experiences that reflect individual perceptions, often influenced by personal feelings or biases (see section 5). It is not measured against external criteria.
• Objective Data: Data measured against external, standardized criteria, aiming for impartiality and consistency (see section…