Four major methods of arriving at a hypothesis
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Four major methods of arriving at a hypothesis
Method of difference
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If the frequency of a disease is different in two different circumstances, and a factor is present in one circumstance but is absent from the other, then the factor may be suspected of being causal.
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For instance, BSE occurred more frequently in places where meat and bone meal is mostly used in feed than in places where it is not. A defect of a hypothesis based on the method of difference is that several different factors may be considered as possible causes.
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The value of a hypothesis generated by this method is reduced if many alternative hypotheses can be formulated.
Method of agreement
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If a factor is common to a number of different circumstances in which a disease is present then the factor may be the cause of the disease. Thus, if a batch of meat and bone meal was associated with salmonellosis on widely different types of pig farms, and this was the only circumstance in common, then the causal hypothesis, that the disease was caused by contamination of that batch is strengthened.
Method of concomitant variation
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This method involves a search for a factor, the frequency or strength of which varies continuously with the frequency of the disease in different situations. Thus, the distance over which cattle are transported before slaughter appears to be related to the occurrence of bruises in their carcasses.
Method of analogy
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This method of reasoning involves comparison of the pattern of the disease under study with that of a disease that is already understood, because the cause of a disease that is understood may also be the cause of another poorly understood disease with a similar pattern.
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It can point to probabilities and confirm conclusions that may be reached by other means but can be dangerously misleading.
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When attempting to establish a causal association, five principles should be considered
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The time sequence of the events
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The strength of the association
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Biological gradient
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Consistency
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Compatibility with existing knowledge
Time sequence
Strength of association
Biological gradient
Consistency
Compatibility with existing knowledge
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It is more reasonable to infer that a factor causes a disease if a plausible biological mechanism has been identified than if such a mechanism is not known. Thus, smoking suggested as a likely cause of lung cancer because chemical and environmental pollutants are known to have carcinogenic effect on laboratory animals.
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Last modified: Wednesday, 16 May 2012, 4:58 AM