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In the social sciences and related fields, a thick description is a description of human social action that describes not just physical behaviors, but their context as interpreted by the actors as well, so that it can be better understood by an outsider.
The descriptive fallacy refers to reasoning which treats a speech act as a logical proposition, which would be mistaken when the meaning of the statement is not based on its truth condition. [1] It was suggested by the British philosopher of language J. L. Austin in 1955 in the lectures now known as How to Do Things With Words .
A description logic (DL) models concepts, roles and individuals, and their relationships.. The fundamental modeling concept of a DL is the axiom—a logical statement relating roles and/or concepts. [2]
The use of descriptive and summary statistics has an extensive history and, indeed, the simple tabulation of populations and of economic data was the first way the topic of statistics appeared. More recently, a collection of summarisation techniques has been formulated under the heading of exploratory data analysis : an example of such a ...
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.
In the philosophy of economics, economics is often divided into positive (or descriptive) and normative (or prescriptive) economics. Positive economics focuses on the description, quantification and explanation of economic phenomena, [ 1 ] while normative economics discusses prescriptions for what actions individuals or societies should or ...
[4] Description is the mode for transmitting a mental image of the particulars of a story. Together with dialogue, narration, exposition, and summarization, it is one of the most widely recognized of the fiction-writing modes.
A graph showing the gender wage gap. In regression analysis, a dummy variable (also known as indicator variable or just dummy) is one that takes a binary value (0 or 1) to indicate the absence or presence of some categorical effect that may be expected to shift the outcome. [1]