Analysis of Variance Designs

Analysisof Variance Designs

Analysisof Variance Designs

Thefollowing case illustrates the application of one-way ANOVA. Theresearcher will seek to determine whether different pacing strategiesemployed by athletes affect their time to finish a marathon. Thisresearch will involve randomly assigning a group of participatingvolunteers to either the group that (a) runs at a steady speedthroughout (b) starts at a slow pace and increases or (c) starts ata faster speed and slows down. In this case, the dependent variable(outcome) is the time taken by an athlete to complete a marathon. Onthe other hand, pacing strategy is the independent variable. Thissuggests that in this experiment, the pacing strategy is the factor.Since the researcher will be comparing three treatment conditions,the factor “pacing strategy” will have three levels. Again, thiswill be one-way ANOVA because it only involves one factor: pacingstrategy.

Inthis experiment, different pacing strategies will be represented bythree groups of subjects: the group that runs at a steady speedthroughout a group that starts at a slow pace and increase it, andthe group that starts at a faster speed and slows down. This meansthat different athletes will be used in these three levels offactors. As such, this will be between-subjects factor. This isbecause comparisons will be made between the three groups ofsubjects.

Thisexperiment demonstrates that ANOVA can be used to analyze differenttypes of experiment. In this paper, it was shown that ANOVA can beused to determine means of three groups. It was shown that sinceathletes will be used in these three levels of factors, theexperiment will be between-subjects factor. This is becausecomparisons will be between the three groups of subjects.