The agency of a cause; the action or power of a cause, in producing its effect.
The faculty of tracing effects to their causes.
The link between causes and their effects. For example, smoking (the cause) leads to lung cancer (the effect), and studying how often this happens and why would be studying causality. In most research about how people behave, causality can’t be proven, and ideas are tested by whether things (“variables,” amounts) change together.
the operation of cause and effect.
The relationship between the cause and the effect. Causality exists under three conditions: the intervention (e.g., a reform model) must come before the outcome (e.g., increased student achievement); there must be covariance (e.g., if the intervention increases slightly, the outcome will increase slightly); and there must not be extraneous explanations for the observed outcome.
The relationship between the causes and the effects they produce.
supposing general laws of nature with always similar RATIONAL outcome (see Kant and causality and rationalism)
the relation between causes and effects
The relationship between an event and the factor(s) that contributed to the cause or occurrence of the event; the relationship between cause and effect.
The relation between cause and effect.
There is said to be causality in a relationship between two variables when a change in one variable causes the change in the other variable.
The relationship between cause and effect. Typically, we assume that a given event is a result of events that came before it in time.
The relating of causes to the effects they produce. Most of epidemiology concerns causality and several types of causes can be distinguished. It must be emphasized, however, that epidemiological evidence by itself is insufficient to establish causality, although it can provide powerful circumstantial evidence. ( Harm)
the theory that every event has a rational cause. Aristotle identified four causes to everything: material, formal, efficient, and final.
The process of cause and effect.
A causes B and B causes C. A linear sequencing of discrete events (in a non-linear universe where there is no such thing as a discrete event!). The basis of syllogistic reasoning.
(see also association) The relating of factors to the effects they produce. Hill (a clinical epidemiologist) proposed eight criteria (not all essential) of a causal association between a factor and an outcome (see reference 9, page 77).
The relationship between cause and effect. The principle that all events have sufficient causes.
A cause and effect relationship. The causality of two events describes to what extent one event is caused by the other. When there is causality, there is a measure of predictability between the two events.
Causality is the relationship between cause and effect.http://dictionary.reference.com/search?q=Causality&x=35&y=25 Random House Unabridged Dictionary The philosophical concept of causality or causation refers to the set of all particular "causal" or "cause-and-effect" relations. Most generally, causation is a relationship that holds between events, properties, variables, or states of affairs.
Causality describes the relationship between causes and effects, and is fundamental to all natural science, especially physics. It is also studied from the perspectives of philosophy, computer science, and statistics.
