Triangulation refers to the use of multiple methods or data sources in qualitative research to develop a comprehensive understanding of phenomena (Patton, 1999). Triangulation also has been viewed as a qualitative research strategy to test validity through the convergence of information from different sources.
What is data triangulation?
The term triangulation refers to the practice of using multiple sources of data or multiple approaches to analyzing data to enhance the credibility of a research study. … First, data triangulation involves using multiple sources of data in an investigation.
What are the 4 types of triangulation?
In 1978, Norman Denzin identified four basic types of triangulation: (1) data triangulation: the use of multiple data sources in a single study; (2) investigator triangulation: the use of multiple investigators/research- ers to study a particular phenomenon; (3) theory triangulation: the use of multiple perspectives to …
What is an example of data triangulation?
Data triangulation involves the use of heterogeneous data sources, for example, qualitative and quantitative. Alternatively data may be gathered (using the same method) from different sources or at different times, for example, the pre-‐ and post-‐use of a questionnaire.What is data triangulation in quantitative research?
Data triangulation is where the researcher uses two or more methods for the verification of the findings and results. Data triangulation is also called cross examination because it double or even triple checks the results obtained from the research.
Why do we use triangulation in research?
Abstract. Triangulation is a technique to analyze results of the same study using different methods of data collection. It is used for three main purposes: to enhance validity, to create a more in-depth picture of a research problem, and to interrogate different ways of understanding a research problem.
What is the process of triangulation?
Triangulation is a surveying method that measures the angles in a triangle formed by three survey control points. … Each of the calculated distances is then used as one side in another triangle to calculate the distances to another point, which in turn can start another triangle.
What is the importance of triangulation in research?
Triangulation facilitates validation of data through cross verification from more than two sources. It tests the consistency of findings obtained through different instruments and increases the chance to control, or at least assess, some of the threats or multiple causes influencing our results.What is the most important objective of triangulation in qualitative research?
Purpose. The purpose of triangulation in qualitative research is to increase the credibility and validity of the results. Several scholars have aimed to define triangulation throughout the years.
Which two methods of triangulation occur during data collection?During data collection, key forms of this include data triangulation (using multiple data sources to validate conclusions) and method triangulation (using multiple methods, such as interviews and observations, to collect data about the same phenomenon).
Article first time published onHow do you triangulate data?
Data triangulation involves the use of different sources of data/information. A key strategy is to categorize each group or type of stakeholder for the program that you are evaluating. Then, be certain to include a comparable number of people from each stakeholder group in the evaluation study.
What is the most common type of triangulation?
Data Triangulation Data triangulation involves using different sources of information in order to increase the validity of a study. This type of triangulation, where the researchers use different sources, is perhaps the most popular because it is the easiest to implement.
