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comment1<\/p>\n
Interaction effects represent the combined effects of factors on the dependent measure. When an interaction effect is present, the impact of one factor depends on the level of the other factor. For example, imagine a study that tests the effects of a treatment on an outcome measure.\u00a0 The treatment variable is composed of two groups, treatment and control. The results are that the mean for the treatment group is higher than the mean for the control group. But what if the researcher is also interested in whether the treatment is equally effective for females and males. That is, is there a difference in treatment depending on gender group? This is a question of interaction (Stevens, 1999).<\/p>\n
I spent a lot of time trying to find an example that I can use to give me a better idea of variables from a work, social, or academic population, and even though I can put forth a definition, I still have a hard time wrapping my head around it.\u00a0 I found this YouTube video on main effects and interaction of sleep deprivation and caffeine that helped a little.<\/p>\n