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# interaction effects (statistical)

Dictionary of sociology. 2013.

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• Interaction variable — In statistics, an interaction variable is a variable often used in regression analysis. It is formed by the multiplication of two independent variables. Example There is a group of participants. Their postural control is being analysed and scored …   Wikipedia

• Interaction information — The interaction information (McGill 1954) or co information (Bell 2003) is one of several generalizations of the mutual information, and expresses the amount information (redundancy or synergy) bound up in a set of variables, beyond that which is …   Wikipedia

• Exchange interaction — In physics, the exchange interaction is a quantum mechanical effect without classical analog which increases or decreases the expectation value of the energy or distance between two or more identical particles when their wave functions overlap.… …   Wikipedia

• Ecological effects of biodiversity — The diversity of species and genes in ecological communities affects the functioning of these communities. These ecological effects of biodiversity in turn affect both climate change through enhanced greenhouse gases, aerosols and loss of land… …   Wikipedia

• Correlation function (statistical mechanics) — For other uses, see Correlation function (disambiguation). In statistical mechanics, the correlation function is a measure of the order in a system, as characterized by a mathematical correlation function, and describes how microscopic variables… …   Wikipedia

• Health effects of tobacco — Part of a series on Tobacco …   Wikipedia

• Restricted randomization — Many processes have more than one source of variation in them. In order to reduce variation in processes, these multiple sources must be understood, and that often leads to the concept of nested or hierarchical data structures. For example, in… …   Wikipedia

• Analysis of variance — In statistics, analysis of variance (ANOVA) is a collection of statistical models, and their associated procedures, in which the observed variance in a particular variable is partitioned into components attributable to different sources of… …   Wikipedia

• ANOVA-simultaneous component analysis — ASCA, ANOVA SCA, or analysis of variance – simultaneous component analysis is a method that partitions variation and enables interpretation of these partitions by SCA, a method that is similar to PCA. This method is a multi or even megavariate… …   Wikipedia