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Secondary research involves the summary, collation and/or synthesis of existing research. Secondary research is contrasted with primary research in that primary research involves the generation of data, whereas secondary research uses primary research sources as a source of data for analysis. [1] A notable marker of primary research is the ...
One page cited, from Yale University, is (as the essay states) self-contradictory, listing newspapers/magazines as both primary and secondary sources. The library page is also rather slapdash and poorly written and does not do much, by itself, to support this essay's claim that there is a clean line delineating primary vs. secondary newspaper ...
Reputable secondary sources, such as authoritative textbooks and review articles, are generally preferred over primary sources in Wikipedia—primary sources often require specialists to interpret them correctly and place them in the proper context, and it is especially difficult to avoid original research when relying mostly on primary sources.
A primary source can have all of these qualities, and a secondary source may have none of them. Deciding whether primary, secondary or tertiary sources are appropriate on any given occasion is a matter of good editorial judgment and common sense, not merely mindless, knee-jerk reactions to classification of a source as "primary" or "secondary".
The line between primary and secondary sources is not always clear. In general, primary sources include descriptions of an individual experiment or a series of experiments by the same research group; secondary sources include independent review articles summarizing a line of research or rectifying apparently discordant results.
The bibliography included at the end of review articles is equally important as it leads to further information on the study being discussed and is a way for academics and students alike to further their research. These are secondary sources. [12] Meyers and Sinding say, "... The review selects from these (research) papers, juxtaposes them, and ...
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Empirical software engineering (ESE) [1] is a subfield of software engineering (SE) research that uses empirical research methods to study and evaluate an SE phenomenon of interest. The phenomenon may refer to software development tools/technology, practices, processes, policies, or other human and organizational aspects.