Significance of Causal effect
Causal effect encompasses the relationship between causes and their outcomes across various philosophies. In Tibetan Buddhism, it highlights the link between a cause and its expected result. Purana focuses on the relationship between the Supreme Being and the universe, underlining that the Supreme causes everything while remaining uncaused. Mahayana emphasizes actions and their spiritual consequences, while Kavyashastra specifically illustrates the connection between an action and its corresponding effect. Each perspective underscores the significance of causation in understanding reality.
Synonyms: Causal impact, Causal relationship, Causal influence, Cause-and-effect relationship, Causal connection, Causation, Cause-and-effect, Impact, Influence, Outcome, Result, Consequence
In Dutch: Causaal effect; In Finnish: Kausaalinen vaikutus; In Spanish: Efecto causal; In German: Kausale Wirkung; In Malay: Kesan sebab; In Portugese: Efeito causal
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
Buddhist concept of 'Causal effect'
Causal effect in Buddhism highlights the link between actions and their consequences, emphasizing that one's intentions can lead to specific spiritual outcomes. It reflects the fundamental principle of karma, shaping moral and spiritual development.
From: Tattvasangraha [with commentary]
(1) The relationship between a cause and its resulting effect, particularly when one has assumed a specific outcome.[1]
From: Shurangama Sutra (with commentary) (English)
(1) The relationship between actions and their outcomes, emphasized in the context of spiritual consequences.[2]
Hindu concept of 'Causal effect'
In Hinduism, the causal effect involves the connection between actions and their outcomes, along with the Supreme Being's role as the ultimate cause of the universe, despite being uncaused himself.
The concept of Causal effect in scientific sources
Causal effect pertains to the influence of an intervention on an outcome, essential in medical research, and involves understanding the relationship between variables, even amidst challenges in accurately establishing this connection.
From: Sustainability Journal (MDPI)
(1) The impact of one variable on another, where changes in one variable directly cause changes in the other, which are causal effects, can be identified from observational data.[3] (2) The relationship where one event directly causes another, as seen with emotion in communication influencing actions.[4] (3) The table reports the causal effects of FRI, TRO, EGR, and RENN on CO 2 E in Norway in the long term, medium term, and short term.[5] (4) Causal effects can be identified by the estimation strategy of DID, which has significant advantages for environmental regulations and the position of firms in global value chains.[6] (5) Causal effects refer to the direct impact of one variable on another, and future studies are encouraged to investigate the causal effects of work demands on thriving to better understand their relationship.[7]
From: International Journal of Environmental Research and Public Health (MDPI)
(1) Relationships that cannot be tested due to the cross-sectional design of the study, which limits the ability to determine direct cause-and-effect associations.[8] (2) The direct impact of alcohol on crime, as distinguished from associations that are due to confounding factors, estimated using situational decomposition methods.[9] (3) Due to the possibility of unobserved confounding, such as genetic and environmental factors, the estimates presented in the study should not be interpreted as causal effects, influencing outcomes.[10] (4) "Causal effects" should be further evaluated in studies focusing on restrictive lung disease in terms of total lung capacity and pathophysiology.[11] (5) Causal effects are the effects of one variable on another, and the provided text mentions that regression analyses of intersectional inequalities versus causal effects were not clearly distinguished.[12]
From: The Malaysian Journal of Medical Sciences
(1) The impact of one variable on another, which the study aims to understand despite limitations in determining this.[13] (2) This refers to the impact of an intervention or exposure on an outcome, which is a key goal in medical research.[14]
From: Journal of Public Health in Africa
(1) This term refers to the direct effect that substance use has on risky sexual behaviour, which is difficult to demonstrate using cross-sectional data.[15]
From: African Journal of Primary Health Care and Family Medicine
(1) The impact of one variable on another, which cannot be definitively determined using a cross-sectional design, but may be better understood using a longitudinal design.[16]
From: South African Family Practice
(1) It refers to the relationship between cause and effect, where one event or factor directly influences and produces a particular outcome.[17]
From: Religions Journal (MDPI)
(1) The data were cross-sectional, thereby precluding any conclusive claims about the of religion on gender ideology.[18]