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Rational emotive behavior therapy (REBT), previously called rational therapy and rational emotive therapy, is an active-directive, philosophically and empirically based psychotherapy, the aim of which is to resolve emotional and behavioral problems and disturbances and to help people to lead happier and more fulfilling lives.
Cognitive restructuring (CR) is a psychotherapeutic process of learning to identify and dispute irrational or maladaptive thoughts known as cognitive distortions, [1] such as all-or-nothing thinking (splitting), magical thinking, overgeneralization, magnification, [1] and emotional reasoning, which are commonly associated with many mental health disorders. [2]
Rational behavior therapy is the result of four significant influences in Maultsby's professional life: his experience as a physician, the neuropsychology of Alexander Luria, B. F. Skinner's behavioral learning theory, and Albert Ellis's rational emotive behavior therapy.
Logic-based therapy (LBT) is a modality of philosophical counseling developed by philosopher Elliot D. Cohen beginning in the mid-1980s. It is a philosophical variant of rational emotive behavior therapy (REBT), which was developed by psychologist Albert Ellis.
The Association for Rational Emotive Behaviour Therapy (AREBT) was established in 1993 by a group of counsellors, psychotherapists and psychologists who were training as Rational Emotive Behaviour Therapy (REBT) practitioners in the United Kingdom. [1] [better source needed]
Albert Ellis (September 27, 1913 – July 24, 2007) was an American psychologist and psychotherapist who founded rational emotive behavior therapy (REBT). He held MA and PhD degrees in clinical psychology from Columbia University, and was certified by the American Board of Professional Psychology (ABPP).
Encyclopædia Britannica, a printed encyclopedia, and Wikipedia, an online encyclopedia. An encyclopedia [a] is a reference work or compendium providing summaries of knowledge, either general or special, in a particular field or discipline.
Before data mining algorithms can be used, a target data set must be assembled. As data mining can only uncover patterns actually present in the data, the target data set must be large enough to contain these patterns while remaining concise enough to be mined within an acceptable time limit. A common source for data is a data mart or data ...