First, data triangulation involves using multiple sources of data in an investigation. In a research study examining hospital staff morale, for example, interviews with medical personnel might be compared and cross-checked with staff surveys and records of focus groups consisting of hospital employees.
What are the four types of triangulation?
Among experts in triangulation in the social sciences, there contin- ues to be a general consensus on the usefulness of the four types of triangulation originally identified by Denzin in the 1970s: (1) data triangulation; (2) investigator triangulation; (3) theory triangulation; and (4) methodological or method
What is the importance of triangulation in research?
Triangulation confirms and validates the quality results using quantitative studies. By using multiple sources and methods inadequacies in one approach or process can be minimized. More insights can be obtained by using multiple methods. Inconsistencies can be recognized and removed.
How do you triangulate data in research?
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 purpose of triangulation?
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.
How is triangulation used in qualitative research?
Abstract. 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
Is triangulation qualitative or quantitative?
The triangulation combines qualitative and quantitative methods and complements those results to a comprehensive picture of the phenomenon under study. The approach has been used in some health studies, but has only scarcely been applied in demographic research.
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.
How can triangulation make our research more reliable?
Getting the primary data from the source, from an authentic source data triangulation can reduce bias. If the data collected from genuine, authentic sources research findings will be more acceptable no doubt. It would be more reliable and valid.
