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Descriptive science is a category of science that involves descriptive research; that is, observing, recording, describing, and classifying phenomena.Descriptive research is sometimes contrasted with hypothesis-driven research, which is focused on testing a particular hypothesis by means of experimentation.
The Dewey Decimal Classification (DDC) is structured around ten main classes covering the entire world of knowledge; each main class is further structured into ten hierarchical divisions, each having ten divisions of increasing specificity. [1]
In the business world, descriptive statistics provides a useful summary of many types of data. For example, investors and brokers may use a historical account of return behaviour by performing empirical and analytical analyses on their investments in order to make better investing decisions in the future.
Factual texts merely seek to inform, whereas literary texts seek to entertain or otherwise engage the reader by using creative language and imagery. There are many aspects to literary writing, and many ways to analyse it, but four basic categories are descriptive, narrative, expository, and argumentative.
The first step in doing a data classification is to cluster the data set used for category training, to create the wanted number of categories. An algorithm, called the classifier, is then used on the categories, creating a descriptive model for each. These models can then be used to categorize new items in the created classification system.
For example, the rose family, Rosaceae, is named after the genus Rosa, with the standard ending "-aceae" for a family. Names above the rank of family are also formed from a generic name, or are descriptive (like Gymnospermae or Fungi). For animals, there are standard suffixes for taxa only up to the rank of superfamily. [30]
Several types of conceptual frameworks have been identified, [13] [14] [19] and line up with a research purpose in the following ways: Working hypothesis – exploration or exploratory research [20] Pillar questions – exploration or exploratory research; Descriptive categories – description or descriptive research; Practical ideal type ...
Ordinal data is a categorical, statistical data type where the variables have natural, ordered categories and the distances between the categories are not known. [1]: 2 These data exist on an ordinal scale, one of four levels of measurement described by S. S. Stevens in 1946.