Definition |
An intervening (set of) variable(s) that explain(s) why a correlation exists between an independent and dependent variable |
Frequently occurring causal patterns that are triggered under generally unknown conditions and with indeterminate consequences. A mechanism explains by opening up the black box and showing the cogs and wheels of the internal machinery. It provides a continuous and contiguous chain of causal or intentional links between the explanans and the explanandum
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An unobserved entity that, when activated, generates an outcome of interest |
Analytical approach |
Correlational analysis techniques, such as mediation analysis, are used to identify “mechanisms” that are considered to be mediators of the observed effect |
While slightly more broadly defined, this definition is compatible with probabilistic approaches to analysis |
Causal analysis consists of identifying the configuration that links the outcome to mechanism(s) triggered by the context, often combining quantitative and qualitative data |
Role given to theory |
Theories in the form of universal laws can be deduced from empirical research (covering law principle) |
Theories in the form of empirical knowledge derived from constant conjunction observations |
Research contributes to developing theories of the middle range |
Implications |
Risk of reduction of mechanisms to measurable indicators, through which dynamic processes of change are reduced to correlations between variables that stand for more complex processes |
In this view, and similar to definition 1, causation is reduced to the concatenation of elements in a causal chain. Causation is demonstrated to the degree that empirical regularities can identified |
Empirical research allows investigation of a possible mechanism, thus identifying a plausible mechanism and may eventually lead to the identification of the actual mechanism. Research thus contributes to increasing the plausibility of the explanatory hypothesis |