Interaction Effect Calculator

The Interaction Effect Calculator helps in determining the interaction effect between two independent variables on a dependent variable, particularly useful in factorial experiments. The interaction effect is calculated as:

\[ \text{Interaction Effect} = (\text{Mean of A1B1} + \text{Mean of A2B2}) - (\text{Mean of A1B2} + \text{Mean of A2B1}) \]

Importance and Usage

Understanding interaction effects is crucial in fields like psychology, medicine, and marketing, where combined effects of different factors are studied. It helps in revealing whether the effect of one factor depends on the level of another factor.

Example Calculation

Suppose the means are as follows:

• Mean A1B1 = 30
• Mean A1B2 = 20
• Mean A2B1 = 25
• Mean A2B2 = 35

The interaction effect would be:
\[ \text{Interaction Effect} = (30 + 35) - (20 + 25) = 70 - 45 = 25 \]

This positive interaction effect indicates a synergistic effect between the factors.