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Correspondence analysis (CA) is a multivariate statistical technique proposed [1] by Herman Otto Hartley (Hirschfeld) [2] and later developed by Jean-Paul Benzécri. [3] It is conceptually similar to principal component analysis , but applies to categorical rather than continuous data.
Correspondence inferences were invited to a greater degree by interpretative action verbs (such as "to help") than state action or state verbs, thus suggesting that the two are produced under different circumstances. Correspondence inferences and causal attributions also differ in automaticity.
Correspondent inference theory is a psychological theory proposed by Edward E. Jones and Keith E. Davis (1965) that "systematically accounts for a perceiver's inferences about what an actor was trying to achieve by a particular action". [1] The purpose of this theory is to explain why people make internal or external attributions.
In statistics, multiple correspondence analysis (MCA) is a data analysis technique for nominal categorical data, used to detect and represent underlying structures in a data set. It does this by representing data as points in a low-dimensional Euclidean space .
Synchronicity (German: Synchronizität) is a concept introduced by analytical psychiatrist Carl Jung to describe events that coincide in time and appear meaningfully related, yet lack a discoverable causal connection. [1]
Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between a set of documents and the terms they contain by producing a set of concepts related to the documents and terms.
The semantic conception of truth, which is related in different ways to both the correspondence and deflationary conceptions, is due to work by Polish logician Alfred Tarski. Tarski, in "On the Concept of Truth in Formal Languages" (1935), attempted to formulate a new theory of truth in order to resolve the liar paradox .
Multiple factor analysis (MFA) is a factorial method [1] devoted to the study of tables in which a group of individuals is described by a set of variables (quantitative and / or qualitative) structured in groups.