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The correlation coefficient is +1 in the case of a perfect direct (increasing) linear relationship (correlation), −1 in the case of a perfect inverse (decreasing) linear relationship (anti-correlation), [5] and some value in the open interval (,) in all other cases, indicating the degree of linear dependence between the variables. As it ...
In probability theory and information theory, the interaction information is a generalization of the mutual information for more than two variables. There are many names for interaction information, including amount of information , [ 1 ] information correlation , [ 2 ] co-information , [ 3 ] and simply mutual information . [ 4 ]
While contemporary criminology has been dominated by sociological theories, biosocial criminology also recognizes the potential contributions of fields such as genetics, neuropsychology and evolutionary psychology. [33] Aggressive behavior has been associated with abnormalities in three principal regulatory systems in the body: serotonin systems,
Interaction effect of education and ideology on concern about sea level rise. In statistics, an interaction may arise when considering the relationship among three or more variables, and describes a situation in which the effect of one causal variable on an outcome depends on the state of a second causal variable (that is, when effects of the two causes are not additive).
In statistics, path analysis is used to describe the directed dependencies among a set of variables. This includes models equivalent to any form of multiple regression analysis, factor analysis, canonical correlation analysis, discriminant analysis, as well as more general families of models in the multivariate analysis of variance and covariance analyses (MANOVA, ANOVA, ANCOVA).
Social psychology utilizes a wide range of specific theories for various kinds of social and cognitive phenomena. Here is a sampling of some of the more influential theories that can be found in this branch of psychology. Attribution theory – is concerned with the ways in which people explain (or attribute) the behaviour of others. The theory ...
In probability theory and in particular in information theory, total correlation (Watanabe 1960) is one of several generalizations of the mutual information. It is also known as the multivariate constraint (Garner 1962) or multiinformation (Studený & Vejnarová 1999). It quantifies the redundancy or dependency among a set of n random variables.
The social forces law states that i = f(S * I * N). Where Impact (i) is a function of the product of three variables, S, I and N. And f is a strictly increasing function meaning that i grows as each variable is increased. However, if a variable were to be 0 or significantly low, the overall impact would be affected.