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  1. Attributions are the perceived causes that individuals select or construct for events in their lives. A basic assumption of attribution theory is that a person's understanding of the causes of ...

  2. Causal Learning. Barbara A. Spellman, in Psychology of Learning and Motivation, 1996 C. Simpson's Paradox Simpson's paradox (after Simpson, 1951) refers to the problem that for any given causal attribution to some cause C1, it is hypothetically possible to find another cause C2 such that the conditional contingency of C1 predicated on the presence and absence of C2 will yield a contingency for ...

  3. 1 de ene. de 2016 · Request PDF | Attribution Theory: Dimensions of Causality, Stability and Controllability According to Learners | The reasons learners construe for their perceived successes and failures in foreign ...

  4. Objectives: This paper urges revision of the way attributions are conceptualised, investigated, and applied in sport psychology. There has been a recent decline in attribution research in sport psychology, despite the generally accepted relevance of attributions in applied settings. In seeking closer links between attribution theory, research, and practice, we argue that there is a mismatch ...

  5. As far as can be seen from Aristotle’s logic texts, attribution is a primitive logical relationship, and is to be distinguished from set membership in the extensional interpretation of modern Px.It is technically expressed as “A belongs to B” (“B is A”, “B can be taken as an A”), where A is an attribute and B the subject of attribution. . With respect to a possible expression ...

  6. Covariation model. Harold Kelley 's covariation model (1967, 1971, 1972, 1973) [1] is an attribution theory in which people make causal inferences to explain why other people and ourselves behave in a certain way. It is concerned with both social perception and self-perception (Kelley, 1973). The covariation principle states that, "an effect is ...

  7. en.wikipedia.org › wiki › CausalityCausality - Wikipedia

    Causality is an influence by which one event, process, state, or object (a cause) contributes to the production of another event, process, state, or object (an effect) where the cause is partly responsible for the effect, and the effect is partly dependent on the cause.In general, a process has many causes, which are also said to be causal factors for it, and all lie in its past.