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The main difference between experiments and non-experimental methods is that in experiments, researchers could manipulate the independent variable.

Experiments are a scientific approach that manipulates one or more control variables to measure their defect on the dependent variables.

In non-experimental methods, researchers must rely on interpretation and observations to conclude and it does not involve any manipulation of the control variables (Myers & Hansen, 2012).

There is more room for management in an experiment than there are non-experimental methods. Experiments do a better job of assessing causality because the researcher is able and ready to govern the variable quantity and subjects to find a true cause and effect relationship (Myers & Hansen, 2012).

By having the ability to manipulate variables, the researcher can confidently find the causal effect on the dependent variable (Myers & Hansen, 2012).