Analysis Methods
Techniques for analyzing and interpreting research data
Content Analysis Methods
Techniques for analyzing textual and visual data
Content Analysis Approaches
Content analysis involves systematically analyzing textual, visual, or audio data to identify patterns, themes, or meanings. It can be qualitative, quantitative, or a combination of both approaches.
Qualitative vs. Quantitative Content Analysis
Qualitative Content Analysis
- Interpretive and subjective approach
- Explores themes and patterns
- Emphasizes context and meaning
- Uses non-numeric data
- Inductive reasoning process
Quantitative Content Analysis
- Counts and categorizes frequencies
- Uses statistical techniques
- Emphasizes objectivity
- Uses numeric data
- Deductive reasoning process
Specialized Content Analysis Approaches
Textual Analysis
Examines structure, content, and meaning of written or spoken language using linguistic theories
Discourse Analysis
Examines social and cultural context of language use and power relations that shape discourse
Thematic Analysis
Identifies and analyzes patterns of meaning across a dataset using coding techniques
Narrative Analysis
Narrative analysis examines the stories people tell about their experiences, focusing on:
Key Elements:
- Story structure and sequence
- Character development and roles
- Plot and thematic elements
- Contextual influences
Applications:
- Understanding lived experiences
- Exploring identity construction
- Examining cultural narratives
- Analyzing organizational stories