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The hypothetico-deductive model or method is a proposed description of the scientific method. According to it, scientific inquiry proceeds by formulating a hypothesis in a form that can be falsifiable, using a test on observable data where the outcome is not yet known. A test outcome that could have and does run contrary to predictions of the ...
[59] At this point, the person is capable of hypothetical and deductive reasoning. During this time, people develop the ability to think about abstract concepts. Piaget stated that "hypothetico-deductive reasoning" becomes important during the formal operational stage.
Deductive reasoning is the reasoning of proof, or logical implication. It is the logic used in mathematics and other axiomatic systems such as formal logic. In a deductive system, there will be axioms (postulates) which are not proven. Indeed, they cannot be proven without circularity.
A central method was the [1] examination of functional relations between environment and behavior, as opposed to hypothetico-deductive learning theory [2] that had grown up in the comparative psychology of the 1920–1950 period. Skinner's approach was characterized by observation of measurable behavior which could be predicted and controlled.
Clark Leonard Hull (May 24, 1884 – May 10, 1952) was an American psychologist who sought to explain learning and motivation by scientific laws of behavior.Hull is known for his debates with Edward C. Tolman.
The mental model theory of reasoning was developed by Philip Johnson-Laird and Ruth M.J. Byrne (Johnson-Laird and Byrne, 1991). It has been applied to the main domains of deductive inference including relational inferences such as spatial and temporal deductions; propositional inferences, such as conditional, disjunctive and negation deductions; quantified inferences such as syllogisms; and ...
A parametric question is "How much of A will cause how much change or influence on B?". A component question is "Which part of A{1,2,3} - A1 or A2 or A3... - causes or influences B?" where A is composed of parts that can be separated and tested. [3] The A-B-A-B design is useful for demonstration questions.
For example, a candidate hypothesis for stimuli that vary along the three dimensions of shape, colour, and size might be { S h a p e = s q u a r e , C o l o r = b l u e , S i z e = s m a l l } { C l a s s = g o o d } {\displaystyle \{\mathbf {Shape} =square,\mathbf {Color} =blue,\mathbf {Size} =small\}\Longrightarrow \;\{\mathbf {Class} =good\}}