Gender | Training | Skill |
1 | 1 | 10 |
1 | 2 | 5 |
1 | 1 | 9 |
1 | 2 | 3 |
1 | 1 | 9 |
1 | 2 | 2 |
1 | 2 | 5 |
1 | 1 | 0 |
1 | 1 | 0 |
1 | 2 | 4 |
1 | 2 | 3 |
1 | 2 | 2 |
1 | 2 | 2 |
1 | 2 | 3 |
1 | 1 | 10 |
1 | 2 | 4 |
1 | 1 | 3 |
1 | 2 | 3 |
1 | 1 | 0 |
2 | 2 | 9 |
2 | 1 | 3 |
2 | 1 | 2 |
2 | 1 | 3 |
2 | 2 | 9 |
2 | 1 | 1 |
2 | 1 | 1 |
2 | 2 | 9 |
2 | 2 | 8 |
2 | 2 | 7 |
2 | 2 | 9 |
after answer it, Pease write the steps for SPSS to let me do it myself.
1. Identify variables that are tested for Main effects – Are they statistically significant? If so, at what alpha level?
2. Identify variables that are tested for Interactions – Are they statistically significant? If so at what level?
1) main effect:
ho1: the main effect of gender is NOT significant. v/s h11: the main effect of gender is significant. With (f=1.092, p>5%), i fail to reject Ho. and conclude that the main effect of gender is NOT significant.
ho2: the main effect of training is NOT significant. v/s h12: the main effect of training is significant. With (f=5.339, p<5%), i reject Ho. and conclude that the main effect of training is significant. the main effect of training is significant at 5% level of significance.
2) Interaction Effect
Ho1: interaction effect is not significant. H12: interaction effect is significant. with (F=17.243, P<5%), I REJECT HO and conclude that the interaction effect is significant. the interaction effect is significant at 5% level of significance.
output:
steps:
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