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It is the active manipulation of the independent
variable at the experimental
level, plus carefully-constructed
controls, that help to rule out alternative
hypotheses, such
as the confounding variable hypothesis. This allows us
to have
greater confidence that the identified independent
variable was responsible for
the observed effects on the
dependent variable, that is, that a causal
relationship exists.