Chapter 13 - Multi-Factor Experiments
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5 Terms
Factorial Design
An experiment or quasi-experiment that includes more than one independent variable
Two advantages of Factorial Design: (1) It is efficient (the researcher test the effects of multiple variables in a single experiment), (2) The experimenter can look at the combined effect of the independent variables on the dependent variable
Levels of Independent Variable
Different situations or conditions that participants experience in an experiment because of the manipulation of the independent variable
Main Effects
The overall effect of a single independent variable on a dependent variable, calculated by averaging its impact across all levels of other independent variables. Main effects measure how changes in a single factor influence the outcome, ignoring interactions with other factors. .
Interactive Effects
The effects that occur when the influence of one independent variable on the dependent variable changes at different levels of another independent variable in a multi-factor experiment.
Simple Effects Test
A statistical analysis used to investigate the effect of one independent variable at specific levels of another independent variable in a multi-factor experiment.