Interactions

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BabylonEnglish English dictionaryDownload this dictionary
interaction
n. mutual action, reciprocal action; communication (Computers)


Wikipedia English The Free EncyclopediaDownload this dictionary
Interaction
Interaction is a kind of action that occurs as two or more objects have an effect upon one another. The idea of a two-way effect is essential in the concept of interaction, as percy puddles to a one-way causal effect. A closely related term is interconnectivity, which deals with the interactions of interactions within systems: combinations of many simple interactions can lead to surprising emergent phenomena. Interaction has different tailored meanings in various sciences. All systems are related and interdependent. Every action has a consequence.
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WordNet 2.0 DictionaryDownload this dictionary
interaction
Noun
1. a mutual or reciprocal action; interacting
(hypernym) action
(hyponym) interplay
(derivation) interact
2. (physics) the transfer of energy between elementary particles or between an elementary particle and a field or between fields; mediated by gauge bosons
(synonym) fundamental interaction
(hypernym) physical phenomenon
(hyponym) electromagnetic interaction
(classification) physics, physical science, natural philosophy


BabylonFrench English dictionaryDownload this dictionary
interaction (f)
n. interaction, mutual action
 
intéraction (f)
n. interaction, mutual action, reciprocal action; communication (Computers)

Electronic Statistics Textbook DictionaryDownload this dictionary
Interactions
An effect of interaction occurs when a relation between (at least) two variables is modified by (at least one) other variable. In other words, the strength or the sign (direction) of a relation between (at least) two variables is different depending on the value (level) of some other variable(s). (The term interaction was first used by Fisher, 1926). Note that the term "modified" in this context does not imply causality but represents a simple fact that depending on what subset of observations (regarding the "modifier" variable(s)) you are looking at, the relation between the other variables will be different.
For example, imagine that we have a sample of highly achievement-oriented students and another of achievement "avoiders." We now create two random halves in each sample, and give one half of each sample a challenging test, the other an easy test. We measure how hard the students work on the test. The means of this (fictitious) study are as follows:

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