quantitative qualitative data
Overview
This lesson explores the fundamental differences between quantitative and qualitative data, crucial for effective research design and analysis. Understanding these data types is essential for selecting appropriate research methods and interpreting findings accurately in Global Perspectives.
Introduction to Data Types
In research, data is the raw material from which conclusions are drawn. It can broadly be categorised into two main types: **quantitative** and **qualitative**. Understanding this distinction is foundational for designing effective research studies, selecting appropriate methodologies, and accuratel...
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Key Concepts
- Quantitative Data: Numerical data that can be measured, counted, or expressed using numbers.
- Qualitative Data: Non-numerical data that describes qualities or characteristics, often expressed in words or images.
- Objective Data: Data that is factual, measurable, and free from personal bias or interpretation.
- Subjective Data: Data that is based on personal opinions, feelings, or interpretations.
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Exam Tips
- →Clearly define and differentiate between quantitative and qualitative data, providing examples for each in your answers.
- →Be prepared to discuss the advantages and disadvantages of using each data type, and explain when one might be more appropriate than the other.
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