But these cultures are not looking for causal relationships
. For them, and for much of our own culture's history, the universe is not a clockwork of causes but a web of meaning.
Therefore, good strategy depends on the effective identification and manipulation of causal relationships
. Whether we want to maintain the status quo or alter a system, we must have a sense of the cause-and-effect relationships that support those conditions.
 pointed out that studying causal relationships
among critical factors enables the decision maker to understand the underlying principles of the relationship and then make the accurate predictions of future outcomes.
"This is to date the most authoritative paper looking at causal relationships
between Alzheimers disease and these potentially modifiable factors," Kauwe said.
Although this was an observational study from which we can't draw causal relationships
, changing prescriptions from an easily removed drug to a difficult-to-remove drug might be a simple way to lower the risk of premature death for people receiving kidney dialysis.
When a car strikes a light pole and the light pole falls down, we see the causal relationship
. Other physical causal relationships
are unseen, such as gravity causing an apple to fall from a tree.
[2,3] It is precisely this type of reciprocal role a variable plays that enables SEM to infer causal relationships
The primary objective of this paper is quantitative determination of the causal relationships
among key instruments of the Czech National Bank's monetary policy, the intermediate criteria of monetary policy, and macroeconomic variables representing real economic performance of the Czech Republic and the domestic price level within monetarist approach.
This correlative and descriptive approach, however, is sometimes augmented with more causal relationships
between distribution patterns and climatic limitation, based on the possible threat of the on-going climate change.
The third identification strategy employs the method of instrumental variables (IV), a statistical technique used to estimate causal relationships
when controlled experiments are not possible.
Serious consideration of causal relationships
was often an afterthought.
With the help of searching and matching algorithms, open and axial coding based on causal relationships
was performed as suggested by grounded theory.