"intervening variables" is correct and usable in written English.
It is typically used to refer to variables that are thought to have an influence on the relationship between two other variables. For example, "When studying the effect of poverty on educational outcomes, researchers must consider potential intervening variables such as access to medical care and peer influences."
Therefore, it is very difficult to control all the possible intervening variables and they can be considered as one of the data variability sources.
Unit-level Satisfaction and Performance: Intervening Variables and Indirect Relationships.
The latter variables are often acting as intervening variables between the background variables and contraceptive use.
An attractive possibility is that intervening variables may have discoverable physiological bases.
Evidence has been found for several intervening variables such as social comparison processes.
Intervening variables and hypothetical constructs need not be incompatible; Thorndike's hypothetical neural process could empirically be found to be the mechanism through which Hull's abstraction operates.
For many psychologists such intervening variables serve as aids in making sense of the immensely complicated network of associations between stimulus conditions and responses, the analysis of which otherwise would be prohibitively cumbersome.
Results from a structural model tested using Partial Least Squares regression indicate that comprehensive PMS is indirectly related to managerial performance through the intervening variables of role clarity and psychological empowerment.
If the claim were that the harm is caused by speech, there would be room to challenge the finding by pointing to the many intervening variables that break or complicate the chain of causality.
This paper presents an algorithm that generates families of mathematical models with nonlinear parameters, and includes the study of linear models, based on the experimental data of the intervening variables.
Over four decades, fluctuations in the sinuosity index (1.15 1.43) and vegetation cover (63%–83%) are not significantly correlated (r = 0.28, p > 0.05), suggesting that relationships between the two are mediated by intervening variables and uncertain lag times.
