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A triangulation of the study results is a method applicable also to evaluation studies. Through a triangulation the researcher will acquire qualitative and quantitative data and the analysis of these increases the trustworthiness, or validity of the study. See also Popham () and/or Patton ().
Some see triangulation as a method for corroborating findings and as a test for validity. This, however, is controversial. This assumes that a weakness in one method will be compensated for by another method, and that it is always possible to make sense between different accounts.
Triangulation to minimize bias. The problem with relying on just one option is to do with bias. There are several types of bias encountered in research, and triangulation can help with most of them. Measurement bias – Measurement bias is caused by the way in which you collect data. Triangulation is a powerful technique that facilitates validation of data through cross verification from two or more sources. In particular, it refers to the application and combination of several research methods in the study of the same phenomenon. It can be used in both .
Triangulation refers to the use of multiple methods or data sources in qualitative research to develop a comprehensive understanding of phenomena (Patton, ). Triangulation also has been viewed as a qualitative research strategy to test validity through the convergence of information from different sources. In general the qualitative literature cautions against seeing triangulation as a way to improve the validity and reliability of research, since this tends to imply a rather positivist agenda in which there is an absolute truth which triangulation gets us closer to.