Notes on Research Design: Quantitative & Qualitative Approaches
Introduction to Research Design
Research design encompasses both quantitative and qualitative research approaches, each with distinct characteristics.
Quantitative Research
- Definition: Involves collecting numeric data from participants to answer specific questions.
- Characteristics:
- Objective and unbiased analysis.
- Focuses on large sample sizes for statistical relevance.
- Examples include surveys and experiments.
Qualitative Research
- Definition: Involves gathering non-numeric data (words/text) to explore participant perspectives.
- Characteristics:
- Subjective and often biased analysis.
- Focuses on smaller samples to develop deeper insights.
- Examples include interviews, ethnographies, and narratives.
Differences Between Quantitative and Qualitative Research
- Research Problem Identification:
- Quantitative: Specific and narrow.
- Qualitative: Broad and exploratory.
- Literature Review Role:
- Quantitative: Major role; justifies research problem.
- Qualitative: Minor role; may not specify the research need.
- Data Collection:
- Quantitative: Large numeric data sets; predetermined instruments.
- Qualitative: Small, textual, or image-based data.
- Data Analysis:
- Quantitative: Statistical analysis to identify trends or relationships.
- Qualitative: Thematic analysis to uncover deeper meanings.
Research Designs in Quantitative Research
- Experimental Design: Tests the effect of interventions.
- Correlational Design: Examines relationships between variables.
- Survey Design: Describes trends within populations using surveys.
Research Designs in Qualitative Research
- Grounded Theory: Develops theories based on common themes.
- Ethnographic: Studies cultural groups in their natural settings.
- Narrative Research: Tells individual stories to convey experiences.
- Case Study: In-depth studies of specific contemporary cases.
- Phenomenological Research: Describes shared meanings of experiences among individuals.
Combined Research Design
- Mixed Method Design: Integrates both quantitative and qualitative data for a comprehensive understanding.
- Action Research: Uses both data types to address practical problems in educational settings, aiming for local improvements.