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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 ...
In this classification, a deductive-nomological (D-N) explanation of an occurrence is a valid deduction whose conclusion states that the outcome to be explained did in fact occur. The deductive argument is called an explanation, its premisses are called the explanans (L: explaining) and the conclusion is called the explanandum (L: to be explained).
DN model and IS model—whereby the probability must be high, such as at least 50% [31] —together form covering law model, [6] as named by a critic, William Dray. [32] Derivation of statistical laws from other statistical laws goes to the deductive-statistical model (DS model).
The methodology contrasts with the hypothetico-deductive model used in traditional scientific research. A study based on grounded theory is likely to begin with a question, or even just with the collection of qualitative data. As researchers review the data collected, ideas or concepts become apparent to the researchers.
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.
One can use language to describe a model; however, the theory is the model (or a collection of similar models), and not the description of the model. A model of the solar system, for example, might consist of abstract objects that represent the sun and the planets. These objects have associated properties, e.g., positions, velocities, and masses.
S193 But according to philosopher Deborah Mayo, by the end of the 20th century philosophers had come to understand that "there are key features of scientific practice that are overlooked or misdescribed by all such logical accounts of evidence, whether hypothetico-deductive, Bayesian, or instantiationist". [10]: S194
The process by which a subject is proposed to go about forming such rules or hypothesis has been the topic of formal probabilistic modeling, a discussion of which can be found in the references.