Inductive Analysis

Inductive Analysis

1. Definition

   • It develops a grounded theory
   • It moves from specific observations to generalization.
   • Researchers must create domains.

2. Advantages

   • This analysis is useful to get meaning from complex data.
   • It provides a systematic approach for processing large amounts of data .
   • The collected data will be grouped into particular assumptions.

3. Steps

   • Create a master outline
   • Select data excerpts to support the elements of your outline
   • Read the data and identify frames of analysis
   • The domains must be supported by the data and examples
   • Reread data, refining salient domains and keeping a record
   • Create domains based on semantic relationships
   • Search for themes across domains
   • Complete an analysis within domains
   • Identify salient domains, assign them a code, and put others aside

4. Conclusion

   • The process of using examples and observations to reach a conclusion.
   • Researchers must look for patterns across individual observations.

5. Creating Domains

   • Sequence
   • Means
   • Function
   • Rationale
   • Location for action
   • Attribution
   • Spatial
   • Strict inclusion

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