Results: While you will not be expected to show exact numbers, you should know t

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Results:
While you will not be expected to show exact numbers, you should know the type of statistics that would be used to test your data and your hypothesis. You will be evaluated on your ability to anticipate the correct statistical techniques and issues that would be required by your specific design (including post hocs, strength of effect etc. if necessary). Tables/figure etc. should be in APA format as well.
Example
Results
A state driver aggression score will be calculated as the mean response to the five SDAQ items. Descriptive statistics will be computed on state driver aggression and demographics. A full factorial split plot factorial ANOVA will be calculated using state driver aggression as the dependent variable. Music group (music versus no-music) will represent the between groups and congestion condition (low versus high) will represent the within groups independent variables. In the event that the interaction is found to be significant, a post hoc will be computed to determine which levels accounted for the significance. Eta square will be calculated to determine strength of effect.”
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Discussion:
You should now be able to interpret what you would have found. This should link back to your classic articles and your hypotheses/predictions.
You also need to provide “value added” information to tell me you have really thought about the potential outcome.
Example
“There will be an interaction effect of music and congestion level on driver aggression. Music should have an overall influence on mild driver aggression in high congestion but not low congestion. This is likely due to the fact that overall levels of driver aggression would be much lower in low congestion than in high congestion. As a result, the lack of influence of music on mild driver aggression may reflect a floor effect in low congestion (see Heiman, 2002). Previous research has demonstrated that drivers are more likely to exhibit adverse psychological and physiological reactions to high congestion conditions, such as increased heart rate, blood pressure, arousal, frustration and negative mood, that can significantly increase aggressive tendencies (Guar, 1988; Hennessy & Wiesenthal, 1997; Novaco, 1991). Further, high congestion provides greater sources of frustration and irritation, and, consequently, greater opportunities to engage in mild driver aggression (Hennessy & Wiesenthal, 1999).
Within high congestion, the non-music group would demonstrate consistently elevated levels of aggression across low and high time urgency. In contrast, drivers listening to music would report lower levels of mild aggression. In this respect, it is possible that music may provide a degree of distraction from potential irritating and frustrating traffic stimuli. Under low time urgency, drivers may have greater opportunity and impetus to focus their attention on music rather than external demands of driving. Music has been found to obscure peripheral environmental stimuli in cognitive and motor tasks (Poulton, 1979). As a result they may be less likely to notice potential sources of frustration, anger, and threat in the congested traffic environment, leading to lower levels of aggression. It is possible that the increased focus on the driving situation and, in particular, other drivers may have increased the personal perception of frustration, irritation, anger, threat and provocation which have been linked to elevated driver aggression (Novaco, 1991). Another explanation may be that music provides a mood enhancing effect. According to Wiesenthal et al. (2000b), music can reduce stress and negative affect in the traffic environment. However, high congestion has been found to be a strong precursor to psychological stress, irritation, and anger (Gulian, Debney, Glendon, Davies, & Matthews, 1989a), which can subsequently increase driver aggression (Hennessy & Wiesenthal, 1999).
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