Causal: meaning, definitions and examples
๐
causal
[ หkษห.zษl ]
cause and effect
The term 'causal' refers to something that is related to or indicates a cause. It is often used in discussions around the relationship between events, where one event is understood to be the result of another. In scientific and philosophical contexts, causal relationships help to understand how certain conditions lead to specific outcomes or phenomena. The concept plays a critical role in experiments and study designs, where establishing causality rather than mere correlation is essential. Causal inferences influence decision-making and policy formulation in various fields such as economics, sociology, and psychology.
Synonyms
causal factor, causal link, causal relationship
Examples of usage
- Causal relationships can be complex.
- The study showed causal links between diet and health.
- Researchers aim to identify causal factors behind climate change.
Translations
Translations of the word "causal" in other languages:
๐ต๐น causal
๐ฎ๐ณ เคเคพเคฐเคฃเคพเคคเฅเคฎเค
๐ฉ๐ช kausal
๐ฎ๐ฉ kausal
๐บ๐ฆ ะบะฐัะทะฐะปัะฝะธะน
๐ต๐ฑ przyczynowy
๐ฏ๐ต ๅ ๆ็
๐ซ๐ท causal
๐ช๐ธ causal
๐น๐ท sebepsel
๐ฐ๐ท ์ธ๊ณผ์
๐ธ๐ฆ ุณุจุจู
๐จ๐ฟ kauzรกlnรญ
๐ธ๐ฐ kauzรกlny
๐จ๐ณ ๅ ๆ็
๐ธ๐ฎ kavzalni
๐ฎ๐ธ orsรถk
๐ฐ๐ฟ ัะตะฑะตะฟััะบ
๐ฌ๐ช แแแแจแแ แแแ
๐ฆ๐ฟ sษbษbsal
๐ฒ๐ฝ causal
Word origin
The word 'causal' comes from the Latin term 'causalis', which itself is derived from 'causa', meaning cause. 'Causa' has its roots in ancient Greek 'ฮฑแผฐฯฮฏฮฑ' (aitia), which also means cause or reason. The term evolved in the English language around the late 14th century, initially used in philosophical texts discussing causation theories. Over time, its application expanded into various disciplines, including science and sociology, where understanding cause-and-effect relationships became foundational to theories and methodologies. The concept of causality has been central in the development of empirical research methods, seeking to establish clear links between variables and outcomes. The proper use of 'causal' has gained increased attention in modern discourse, especially in the context of statistical analysis and experimental design.