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Chapter 12: Interpretive Research - Coggle Diagram
Chapter 12: Interpretive Research
Interpretive Research
Theoretical Sampling
Sampling is guided by emerging theory rather than pre-determined criteria.
Participants are selected based on their ability to contribute to the evolving theory.
Researcher Involvement
Researchers actively engage with participants.
Researchers' perspectives and interpretations are integral to the research process.
Qualitative Data
Utilizes data that is non-numeric, such as text, images, or audio.
Methods include interviews, observations, and document analysis.
Holistic Analysis
Considers the context and complexity of the phenomena being studied.
Aims to provide a comprehensive understanding rather than breaking it down into parts.
Theory Building
Focuses on developing theories based on observed data.
Emphasizes understanding phenomena from the perspective of participants.
Iterative Process
Data collection and analysis occur simultaneously and in cycles.
The research process is flexible and adaptive, allowing for refinement of methods and concepts.
Positivist Research
Researcher Independence
Researchers strive to remain objective and detached from participants.
Emphasizes minimizing researcher influence on the data.
Reductionist Analysis
Breaks down phenomena into smaller, measurable components.
Focuses on isolating and measuring specific variables.
Random Sampling
Participants are selected randomly to ensure representativeness and generalizability.
Aims to minimize selection bias.
Quantitative Data
Relies on numeric data that can be statistically analyzed.
Methods include experiments, surveys, and quantitative content analysis.
Linear Process
Follows a sequential process: hypothesis formation, data collection, analysis, and conclusion.
The process is structured and follows a predefined plan.
Theory Testing
Focuses on testing hypotheses derived from existing theories.
Seeks to confirm or refute theoretical propositions through empirical evidence.
Data Collection Techniques
Interviews
Can be structured, semi-structured, or unstructured.
Commonly used in qualitative research to gather in-depth insights.
Observations
Can be participant or non-participant observations.
Useful for understanding context and behavior in natural settings.
Documentation
Involves analyzing existing documents, records, or artifacts.
Can be used in both qualitative and quantitative research.
Experiments
Involve controlled manipulation of variables to determine causal relationships.
Commonly used in quantitative research.
Surveys
Use questionnaires to collect data from a large number of respondents.
Can include closed-ended or open-ended questions.
Benefits
Interpretive Research
Flexible and adaptive to changing circumstances.
Emphasizes the participants' perspectives and meanings.
Provides deep, contextual insights.
Positivist Research
Allows for hypothesis testing and prediction.
Uses standardized methods that can be replicated.
Produces quantifiable and generalizable results.
Challenges
Interpretive Research
Difficulties in achieving generalizability.
Time-consuming and resource-intensive.
Subjectivity and potential bias in data interpretation.
Positivist Research
Ethical concerns related to detachment and manipulation.
Challenges in capturing the richness of human experience.
Potential oversimplification of complex phenomena.