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The term removable discontinuity is sometimes broadened to include a removable singularity, in which the limits in both directions exist and are equal, while the function is undefined at the point . [a] This use is an abuse of terminology because continuity and discontinuity of a function are concepts defined only for points in the function's ...
In psychiatry, derailment (aka loosening of association, asyndesis, asyndetic thinking, knight's move thinking, entgleisen, disorganised thinking [1]) categorises any speech that sequences of unrelated or barely related ideas compose; the topic often changes from one sentence to another.
The principles of grouping (or Gestalt laws of grouping) are a set of principles in psychology, first proposed by Gestalt psychologists to account for the observation that humans naturally perceive objects as organized patterns and objects, a principle known as Prägnanz.
The need for closure in social psychology is thought to be a fairly stable dispositional characteristic that can, nonetheless, be affected by situational factors. The Need for Closure Scale (NFCS) was developed by Arie Kruglanski, Donna Webster, and Adena Klem in 1993 and is designed to operationalize this construct and is presented as a unidimensional instrument possessing strong discriminant ...
In psychology, developmental stage theories are theories that divide psychological development into distinct stages which are characterized by qualitative differences in behavior. [ 1 ] There are several different views about psychological and physical development and how they proceed throughout the life span.
This notion of continuity is the same as topological continuity when the partially ordered sets are given the Scott topology. [ 19 ] [ 20 ] In category theory , a functor F : C → D {\displaystyle F:{\mathcal {C}}\to {\mathcal {D}}} between two categories is called continuous if it commutes with small limits .
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In statistics, econometrics, political science, epidemiology, and related disciplines, a regression discontinuity design (RDD) is a quasi-experimental pretest–posttest design that aims to determine the causal effects of interventions by assigning a cutoff or threshold above or below which an intervention is assigned.