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Tuesday, November 26, 2013

Research Methodology research process

Research Process:
  • Research is an extremely cyclic process.
  • Later stages might necessitate a review of earlier work. 
  • This isn't a weakness of the process but is part of the built-in error correction machinery. 
  • Because of the cyclic nature of research, it can be difficult to determine where to start and when to stop.

Step 1: A question is raised
  • A question occurs to or is posed to the researcher for which that researcher has no answer.
  • This doesn't mean that someone else doesn't already have an answer.
  • The question needs to be converted to an appropriate problem statement like that documented in a research proposal.
Step 2: Suggest hypotheses
  • The researcher generates intermediate hypotheses to describe a solution to the problem.
  • This is at best a temporary solution since there is as yet no evidence to support either the acceptance or rejection of these hypotheses.
Step 3: Literature Review
  • The available literature is reviewed to determine if there is already a solution to the problem.
  • Existing solutions do not always explain new observations.
  • The existing solution might require some revision or even be discarded.
Step 4: Literature evaluation
  • It’s possible that the literature review has yielded a solution to the proposed problem.
  • This means that you haven’t really done research.
  • On the other hand, if the literature review turns up nothing, then additional research activities are justified.
Step 5: Acquire Data
  • The researcher now begins to gather data relating to the research problem.
  • The means of data acquisition will often change based on the type of the research problem.
  • This might entail only data gathering, but it could also require the creation of new measurement instruments.
Step 6: Data analysis
  • The data that were gathered in the previous step are analyzed as a first step in ascertaining their meaning.
  • As before, the analysis of the data does not constitute research.
  • This is basic number crunching.
Step 7: Data interpretation
  • The researcher interprets the newly analyzed data and suggests a conclusion.
  • This can be difficult.
  • Keep in mind that data analysis that suggests a correlation between two variables can’t automatically be interpreted as suggesting causality between those variables.
Step 8: Hypothesis Support
  • The data will either support the hypotheses or they won’t.
  • This may lead the researcher to cycle back to an earlier step in the process and begin again with a new hypothesis.
  • This is one of the self self-correcting mechanisms associated with the scientific method.

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