Triangulation

Definition

Triangulation is a research method used to increase the credibility and validity of data by combining multiple data sources, methodologies, or theoretical perspectives. This approach allows for a more comprehensive understanding of a phenomenon by cross-verifying information and providing a fuller picture, which is especially important in evaluation contexts where complex issues are being assessed.

5 Must Know Facts For Your Next Test

1. Triangulation can involve using different methods such as surveys, interviews, and observations to gather data on the same topic.
2. It helps to mitigate bias by incorporating various perspectives, making the findings more robust and reliable.
3. In evaluation processes, triangulation allows for a richer interpretation of results by integrating findings from diverse sources.
4. Triangulation can also be applied to theoretical frameworks, allowing researchers to view data through multiple lenses.
5. Using triangulation can enhance the overall credibility of a study by demonstrating thoroughness in data collection and analysis.

Review Questions

• How does triangulation enhance the validity of research findings?
  • Triangulation enhances the validity of research findings by combining multiple data sources or methods to cross-verify results. This approach reduces the likelihood of bias that may come from relying on a single source or methodology. By comparing results obtained through different means, researchers can confirm trends or discrepancies, leading to a more credible understanding of the studied phenomenon.
• Discuss the implications of using triangulation in public health evaluations.
  • Using triangulation in public health evaluations has significant implications for understanding complex health issues. It enables evaluators to gather diverse data points that provide a fuller picture of health interventions or programs. By employing various methods such as qualitative interviews alongside quantitative surveys, evaluators can better assess the effectiveness of public health initiatives and identify areas for improvement based on comprehensive insights.
• Evaluate how triangulation might change the interpretation of data in health research over relying on a single method.
  • Evaluating the impact of triangulation on data interpretation in health research highlights its ability to offer a richer context compared to using a single method. When multiple methodologies are applied, such as integrating qualitative insights with quantitative metrics, researchers can uncover nuanced understandings that might be overlooked otherwise. This multifaceted approach enables more informed conclusions and recommendations, ultimately leading to better-informed public health policies and practices.

Related terms

Qualitative Research: A research method that focuses on understanding human behavior and the reasons that govern such behavior, often using interviews, focus groups, and observations.

Quantitative Research: A research method that involves the collection and analysis of numerical data to identify patterns, test hypotheses, and make predictions.

Mixed Methods: An approach that combines qualitative and quantitative research methods to gain a more comprehensive understanding of a research question.