Difference Between Experiment and Survey

Experiment and survey methods are highly important in data gathering. Both can be utilized to test hypotheses and come up with conclusions. Research through experiments involves the manipulation of an independent variable and measuring its effect on a dependent variable. On the other hand, conducting surveys often entails the use of questionnaires and/or interviews. The following paragraphs further delve into such differences.

Difference Between Experiment and Survey

What is an Experiment?

From the Latin word, “experior” which means “to attempt” or “to experience”, experiment is defined as testing a hypothesis by carrying out a procedure under highly controlled conditions. This makes the method ideal in studying primary data. By manipulating a certain independent variable, its effect on a dependent variable can be measured. A cause and effect relationship is verified by exposing participants to certain treatments. For instance, researchers can measure how water intake can affect people’s metabolism by letting the experimental group drink 8 glasses of water each day while the control group will only have 4 glasses. Their metabolism rates will then be compared after a week and statistical treatments like T-test will be employed to validate the results.

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