Please forward this error screen to 84. Please forward this error screen to sharedip-1666228125. Request a new password via email. There are so many factors involved in the research process from data collection to introduction to operations research hillier pdf free download analysis.
These factors sometimes distort the result, sometimes influence the findings. But a valid and reliable result is always wanted and widely acceptable. To make the research result bias free, valid and generalised triangulation plays an important role in this area by increasing the rate of certainty and bringing neutrality. Triangulation is the means of reducing bias in research and increases the rate of certainty of the research findings.
It goes without saying that triangulation is very important in research methodologies. The beneficiary groups or incumbent of the research topic want findings bias free, reliable even tested in the long run. Researchers do for the people following some techniques, process from data collection to interpretation, analysing those collected data. The whole process involves many things to be done.
In every step, for the component neutrality is necessary. And this is the issue of triangulation. It follows the means how to reduce partiality and raise neutrality and certainty. In the research triangulation indicates the real position of research. Reviewing literatures there are four approaches of triangulation are found.
In every stage it is necessary to avoid bias and should unitise authentic data and information that will certainly lead a research to acceptable conclusion to everybody. This essay aims to discuss the importance of all forms of triangulation approaches in research methodologies and examine the importance thereof and how they play vital role for reliable and valid research findings. It is a process of overcoming bias and developing certainty in the research methodology checking data validity, reliability, theoretical issues, interviewers’ biasness and methodological problems. Introducing triangulation into research design is one means whereby the evidence collected from one source is corroborated by evidence collected from another source , with the discrepancies emerging between the two sets of data altering researchers to potential analytical errors. Thus, triangulation can enhance our belief that results are valid and not a methodological artefact. So it is seen that every author defines the triangulations as the combination of different approaches and methods in the same phenomenon that helps the researcher to overcome bias and uncertainty in the research findings in order to be widely acceptable and useful for the future research. Triangulation is system of using more than one method where all methods interrelated to provide dependable research result.
1 Data Triangulation: Here data is collected from different sources in the study of a phenomenon. 2 Theoretical Triangulation: Theoretical triangulation is approach where it is taken from a discipline to describe the phenomenon of other discipline. Theoretical triangulation involves borrowing models from one discipline and using them to explain situations in another discipline. 3 Triangulation by Investigator: Here different researchers collect data individually and independently for the same phenomenon. They compare the findings on the basis of collected data. 4 Methodological Triangulation: It is the way of using of the both qualitative and quantitative methodologies in research in order to get reliable findings. This comprises of within the method triangulation and between the method triangulation.
Triangulation has a significant role in research methodology to prove the research as an important, viable and widely accepted. It brings validity, increased methodological reliability and the rate of certainty in the research findings. It happens affecting by the all forms of triangulation used in the research. In the triangulation in research design researchers use the evidences collecting from one to another source and minimize data errors.