causality

(redirected from Causal relationships)
Also found in: Dictionary, Thesaurus, Encyclopedia, Wikipedia.

causality

 [kaw-zal´ĭ-te]
the relationship between cause and effect.

cau·sal·i·ty

(kawz'al-i-tē),
The relating of causes to the effects they produce; the pathogenesis of disease and epidemiology, are largely concerned with causality.

causality

[kôsal′itē]
(in research) a relationship between one phenomenon or event (A) and another (B) in which A precedes and causes B. The direction of influence and the nature of the effect are predictable and reproducible and may be empirically observed. Causality is difficult to prove. Some social scientists contend that it is impossible to prove a causal relationship.

cau·sal·i·ty

(kaw-zali-tē)
The relating of causes to the effects they produce; the pathogenesis of disease and epidemiology are largely concerned with causality.

locus of causality

(1) in attribution theory, a person's perception of whether the cause of their success or failure at a task is internal (due to personal factors, such as effort and ability) or external (due to external factors, such as luck or chance); (2) in self-determination theory, a person's perception of whether the origin of their reasons for engaging in a behaviour is internal (done willingly and out of free choice) or external (done because they are compelled or required to do so, either by external pressure from others or because of self-imposed pressures).

cau·sal·i·ty

(kaw-zali-tē)
The relating of causes to the effects they produce; the pathogenesis of disease and epidemiology are largely concerned with causality.

causality,

n a relationship between one event or action that precedes and initiates a second action or influences the direction, nature, or force of a second action. In scientific study, causality must be observable, predictable, and reproducible and thus is difficult to prove.

causality

the relationship between cause and effects.

principle of causality
the postulate that every phenomenon has a cause or causes, i.e. that events do not occur at random but in accordance with physical laws so that, in principle, causes can be found for each effect.

Patient discussion about causality

Q. how is depression caused by having cancer treated? I mean not only the patient, also the family members who tend to get depressed by the situation. how can you treat thi skind of depression?

A. thanks guys, you are great. Nice to have such a community here.

Q. What causes fibromyalgia? Is fibromyalgia a deadly disease?

A. The causes of fibromyalgia are not known. But there are many theories such as abnormalities in brain chemicals, infections, trauma, genetics and hormonal changes. Factors such as poor sleep, fatigue, overexertion and anxiety, may aggravate the symptoms. Fibromyalgia is not a progressive or life-threatening condition, but it affects quality of life. Fibromyalgia is only a disorder of muscles and not a disease.

Q. Is that true that mouth sores are caused by lack of vitamins? I’ve been having white mouth sores in the past 6 months or so. Could that mean I have to take vitamin supplements?

A. yup ... autoimmune reactions means your immune system is not working well
it's not working well because it lacks the nutrient and vitamins it needs to function properly
- take lots of vitamin c to boost your immune system
- organic multivitamins
- organic juices high in anti oxidants
- and most important .. omega 3-6-9

More discussions about causality
References in periodicals archive ?
Leaving causal assumptions unstated raises the risk of taking action in the strategic realm that is founded on inaccurate expectations of causal relationships.
Results of the application of grounded theory show that the most important context of causal relationships that affects the innovation process is the internal organizational structure (see Table 1) with less attention directed to external context relationships, such as customer requirements and regulations in that order.
Regression (12) simply confirms that the causal relationships are transitive; namely, if past consumption growth causes current output growth and past output growth causes current investment growth, then past consumption growth must also be significant in predicting current investment growth.
We found mixed results about the causal relationship between exports and GDP in Arab countries.
The ALPHA node was then regressed on the remaining independent variables to identify significant causal relationships (Appendix [ILLUSTRATION FOR EXHIBIT 2.
On the question of how to reason with causal relationships, explains Williamson (philosophy, logic, and scientific method; London School of Economics), much attention has been devoted to the theses that Bayesian nets provide a calculus for causal reasoning and that we can learn causal relationships by the automated learning of Bayesian nets from observational data.
Of these questions, 13 were lower level questions that focused on factual knowledge and 12 questions tapped students' higher level thinking skills relating to causal relationships.
SAS supplies the intelligence to understand deep-rooted, causal relationships between metrics and the marketing activities that drive them.
The most important causal relationships he identifies are relative deprivation and inequality, rejection of negotiated peace processes, contagion and spillover effects, paradigmatic shifts in modern mass media, rapid modernization, poverty and weak states, democratization, political legitimacy problems, links to organized crime, hegemonic versus multipolar power, economic and cultural globalization, and war.
Arising from an earlier concept of cognitive mapping, causal mapping is a term used in the fields of policy research, information technology, and organizational science, for a method of representing thought as a network of causal relationships.
And Fernando Guerra, director of health with the San Antonio Metropolitan Health District, noted that the multi-agency National Children's Study "will provide for the first time an opportunity for children and families to benefit from the cumulative evidence that will be assembled over twenty-five years, to better understand causal relationships from many different influences, including the environment.
The FGM technology can be applied to genomic analysis to identify biomarkers to develop treatments, diagnoses or prognoses of diseases by exploiting the map of interactions and the causal relationships between genes rendered by this technology.