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Primary, or "statistical" sources are data that are collected primarily for creating official statistics, and include statistical surveys and censuses. Secondary, or "non-statistical" sources, are data that have been primarily collected for some other purpose (administrative data, private sector data etc.).
Examples in which a source can be both primary and secondary include an obituary [23] or a survey of several volumes of a journal counting the frequency of articles on a certain topic. [23] Whether a source is regarded as primary or secondary in a given context may change, depending upon the present state of knowledge within the field. [24]
Secondary data refers to data that is collected by someone other than the primary user. [1] Common sources of secondary data for social science include censuses , information collected by government departments, organizational records and data that was originally collected for other research purposes. [ 2 ]
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".
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 inclusion of a "methods" section, where the authors describe how the data was generated ...
Raw data (sometimes colloquially called "sources" data or "eggy" data, the latter a reference to the data being "uncooked", that is, "unprocessed", like a raw egg) are the data input to processing. A distinction is made between data and information, to the effect that information is the end product of data processing. Raw data that has ...
Secondary sources are written accounts of history based upon the evidence from primary sources. These are sources which, usually, are accounts, works, or research that analyze, assimilate, evaluate, interpret, and/or synthesize primary sources. These are not as authoritative and are supplemental documents concerning the subject under consideration.
The large requirements of data processing have made statistics a key application of computing. A number of statistical concepts have an important impact on a wide range of sciences. These include the design of experiments and approaches to statistical inference such as Bayesian inference , each of which can be considered to have their own ...