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In experimental design, an independent variable is the presumed cause within a cause-and-effect relationship. It is the specific factor that researchers actively manipulate or systematically vary to observe what change it produces in another variable.

Independent Variable

In an experiment, conditions refer to the distinct levels or variations of the independent variable that the researcher systematically creates through manipulation. Researchers typically assign these conditions short, descriptive names to make them easier to discuss. For example, a study investigating the effects of expressive writing on health might create a 'traumatic condition' and a 'neutral condition'.

Experimental Condition

A confounding variable is an extraneous variable that differs on average across levels of the independent variable, meaning it varies systematically alongside it. Because this variable differs systematically across conditions just like the independent variable, it provides a plausible alternative explanation for any observed difference in the dependent variable, making it difficult to establish a clear cause-and-effect relationship. For instance, if an extraneous variable like intelligence is substantially lower in one group than another, it becomes a confounder that confuses the results.

Confounding Variable

Just as psychological studies frequently utilize multiple levels of a single independent variable, it is also a common and powerful practice to incorporate multiple independent variables within the exact same experiment. This methodological approach enables researchers to answer more sophisticated research questions that cannot be addressed by studying a single variable in isolation.

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