RESULTS EXPERIMENT TWO in .NET framework

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RESULTS EXPERIMENT TWO
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TABLE 7.17. Results of MANOVA, Experiment Two MANOVA Effect 1 2 12 Effects Studied: 1 visibility, 2 day Wilks Lambda 0.839068 0.479769 0.631314 df 1 2 2 2 df 2 9 9 9 p-Level 0.454033 0.036698 0.126213
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Independent variables: 1. Visibility, with 2 levels: visible and invisible. 2. Day (repeated measures), with 2 levels: day 1 and day 2.
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The results are shown in Table 7.17. The p-level for the interaction effect is bigger than the signi cance level (0.05), pointing to no signi cant interaction effect. This means the result for one independent variable is not modi ed by the other independent variable. The p-level for the visibility factor is also larger than the signi cance level, so the null hypothesis should be accepted. In other words, the overall human performance is not affected by the visibility factor. The p-level for the day factor suggests a slight effect of the day (training) factor on human performance. This reconciles with our knowing that the overall subjects performance was better on day 2 compared to day 1. In order to see which indicator of human performance might be affected by the day (training) factor, multiple univariate ANOVAs have been performed. 4. ANOVA was applied to the path-length-dependent variable in Experiment Two. The variables involved are as follows:
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Dependent variables: 1. Path length. Independent variables: 1. Visibility, with two levels: visible and invisible. 2. Day (repeated measures), with two levels: day 1 and day 2.
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The results are shown in Table 7.18. The p-levels for the main effects and interaction effect are larger than the signi cance level 0.05. Each null hypothesis for the main effects and interaction effect should hence be accepted. We conclude that there are no signi cant effects of the visibility factor and day (training) factor, and that these results do not change across the levels of the independent variables. In other words, surprisingly, the visibility factor has no signi cant effect on the subjects path length, and the day (training) effect has no signi cant effect on the path length as well.
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TABLE 7.18. Results of ANOVA for Path Length, Experiment Two ANOVA Effect 1 2 12 df Effect 1 1 1 Effects studied: 1 visibility, 2 day MS Effect 13860.02 6281.40 12706.58 df Error 10 10 10 MS Error 7756.985 7292.907 7292.907 F -Value 1.786780 0.861303 1.742321 p-Level 0.210934 0.375232 0.216262
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TABLE 7.19. Results of ANOVA on Completion Time, Experiment Two ANOVA Effect 1 2 12 df Effect 1 1 1 Effects studied: 1 visibility, 2 day MS Effect 125426.0 0.4 149626.0 df Error 10 10 10 MS Error 197945.9 442773.8 44273.8 F -Value 0.633638 0.000008 3.379561 p-Level 0.444509 0.997735 0.095856
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5. An ANOVA was applied to the independent variable of completion time in Experiment Two. The variables involved are as follows:
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Dependent variables: 1. Completion time. Independent variables: 1. Visibility, with 2 levels: visible and invisible. 2. Day (repeated measures), with 2 levels: day 1 and day 2.
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The results are shown in Table 7.19. The p-levels for the main effects and interaction effect are all larger than the accepted threshold signi cance level 0.05. Hence all null hypotheses for the main effects and interaction effect are accepted. We thus conclude that there are no signi cant effects for the visibility factor and day (training) factor, and this does not change across all levels of the independent variables. In other words, surprisingly, neither the visibility factor nor the day (training) factor has a signi cant effect on the completion time. 6. The MANOVA was applied to the combined data set. The variables involved are as follows:
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