Experiments in which conditions are deliberately altered and all other variables are held constant are known as <u>Manipulative</u> experiments.
Manipulation checks are measured variables that reveal the concurrent effects of the manipulated variables on other variables outside the targeted dependent variable.
During studies, a process or task is altered in some way, and volunteers are assigned at random to various degrees of the manipulation. The experimenter then checks to see if changes in the controlled factors affect the dependent variable differently.
Manipulation checks focus on variables other than the important dependent variable.
The purpose of manipulations is not to confirm that the manipulated component was the source of the variance in the dependent variable. This is confirmed through random assignment, manipulation before the dependent variable is measured, and statistical assessments of the manipulated variable's impact on the dependent variable.
Consequently, a failed manipulation check does not disprove the idea that the manipulation was to blame.
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