Attribution and Data Triangulation: How the Triangulation of Data Strengthens Your Research

The attribution and data triangulation, is a powerful technique that facilitates validation of data through cross verification from two or more sources. It means, identifying the sources, where the sources can be found etc. Data triangulation validates your data and research by cross verifying the same information.

Data triangulation validates your data and research by cross verifying the same information. This triangulation of data strengthens your research paper because your data has increased credibility and validity.

The triangulation of data occurs when multiple theories, materials or methods are used. The following are a few of the most common approaches:

Data source triangulation—Using evidence from different types of data sources, such as primary and secondary research or interviews, documents, public records, photographs and observations

Methodology triangulation—Combining multiple methods to gather data, such as documents, interviews, observations, questionnaires or surveys, when conducting primary research, at different times and in different places

Theory triangulation—Using more than one theoretical approach (theory) to interpret and support data

Benefits of data triangulation

The triangulation of data strengthens your research and allows you to write a better research paper because of the following benefits.

  • Additional sources of information often give more insight into a topic
  • Inadequacies found in one-source data is minimized when multiple sources confirm the same data
  • Multiple sources provide verification and validity while complementing similar data
  • More comprehensive data is obtained
  • Data and information is supported in multiple places/types of research, which makes it easier to analyze data to draw conclusions and outcomes
  • Inconsistencies in data sets are more easily recognized

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