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The focus should be on how you applied a method, not on the mechanics of doing a method.An exception to this rule is if you select an unconventional methodological approach; if this is the case, be sure to explain why this approach was chosen and how it enhances the overall process of discovery.
This is not an indication of a security issue such as a virus or attack.
It could be something as simple as a run away script or learning how to better use E-utilities, for more efficient work such that your work does not impact the ability of other researchers to also use our site.
Introspectively engage in an ongoing dialectic between the application of theories and methods to help enable you to use the outcomes from your methods to interrogate and develop new theories, or ways of framing conceptually the research problem.
This is how scholarship grows and branches out into new intellectual territory.
Do not confuse the terms "methods" and "methodology." As Schneider notes, a method refers to the technical steps taken to do research.
Descriptions of methods usually include defining them and stating why you have chosen specific techniques to investigate a research problem, followed by an outline of the procedures you used to systematically select, gather, and process the data [remember to always save the interpretation of data for the discussion section of your paper].
For clarity, when a large amount of detail must be presented, information should be presented in sub-sections according to topic.: If you are conducting a qualitative analysis of a research problem, the methodology section generally requires a more elaborate description of the methods used as well as an explanation of the processes applied to gathering and analyzing of data than is generally required for studies using quantitative methods.
Because you are the primary instrument for generating the data, the process for collecting that data has a significantly greater impact on producing the findings.
It is almost a given that you will encounter problems when collecting or generating your data, or, gaps will exist in existing data or archival materials.
Do not ignore these problems or pretend they did not occur. Don't avoid using a quantitative approach to analyzing your research problem just because you fear the idea of applying statistical designs and tests.