Triangulation is the use of multiple data sources, methods, researchers, or theoretical perspectives to study the same phenomenon. The logic is convergence: if different approaches yield consistent findings, confidence in the results increases. If they diverge, the discrepancy itself is analytically productive.
Norman Denzin (1978) identified four types of triangulation, which remain the standard typology:
| Type | Description | SLA example |
|---|---|---|
| Data triangulation | Multiple data sources (different times, settings, or participants) | Collecting data from beginners, intermediates, and advanced learners |
| Investigator triangulation | Multiple researchers analyse the same data | Two coders independently coding Corrective Feedback episodes |
| Theoretical triangulation | Multiple theoretical frameworks applied to the same data | Interpreting classroom interaction through both sociocultural and cognitive lenses |
| Methodological triangulation | Multiple methods used in the same study | Combining test scores with interviews and Classroom Observation |
Denzin further distinguished within-method triangulation (using multiple scales within a questionnaire) from between-method triangulation (combining quantitative and qualitative methods, essentially Mixed Methods Research).
Triangulation serves different purposes depending on the research paradigm:
Triangulation is particularly valued in: