Abductive Approach
A research approach that moves iteratively back and forth between empirical data and existing theory to find the most plausible explanation for a surprising finding.
What is Abductive Approach?
Abduction starts with an empirical observation that cannot be explained by existing theories. The researcher then formulates the most plausible hypothesis to explain the anomaly, toggling between the data and theoretical literature to refine the explanation. Unlike deduction (which tests theory) or induction (which generates theory from scratch), abduction modifies or expands theory to resolve empirical puzzles.
Why Abductive Approach Matters
Abduction closely mirrors how researchers actually think in practice when confronted with unexpected results. It allows for creative leaps and the refinement of theory in light of surprising data.
Example
A researcher observing that a heavily funded community development project completely failed (a surprising observation) iteratively reviews the literature on social capital and re-analyzes their data, eventually concluding that the project disrupted informal networks, formulating a new explanation for the failure.
Common Mistakes
- Confusing abduction with mere guesswork; abduction requires rigorous comparison of alternative theoretical explanations.
- Failing to explicitly acknowledge the theoretical framework that made the initial observation 'surprising' in the first place.