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Triangulation

Triangulation

Triangulation can help to increase the validity/credibility of research
> findings from qualitative research studies. Collecting and analyzing data
> from multiple sources or through multiple approaches can help us reduce any
> bias inherent in one particular source or approach. For example, if a main
> finding from one approach is completely absent or unsupported by data from
> another approach, the finding may have been shaped by the researcher’s bias
> or it may have been a random occurrence with no significance.
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>  Following this logic, the main benefit of conducting triangulation is to
> reduce the likelihood of false alarm, or falsely identifying something that
> really doesn’t exist. This would then seem to be the exact opposite of what
> sample size increase can do for a statistical test, which is to reduce the
> likelihood of missing something that actually does exist. What do you
> think? Or is there a different way to characterize the function of
> triangulation? [250 words, 2 refeences, 2 In Text Citations. Original
> ScholarlyWriting Only. No ESL please]
>
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In research, it is integral to provide detailed data to avoid the formulation of null conclusions. Triangulation is coined from surveying which means the employment if a series of methods to amp an area on a map. Triangulation has various forms from which a researcher may employ such as data triangulation, investigator triangulation, theoretical triangulation and methodological triangulation.  This mode of research has received massive criticism from researchers mainly on its mode of operation which is based on the assumption that if two or more approaches yield similar results then it is presumed that the level……………..
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