Tests of Between-Subjects Effects |
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Dependent Variable: Trauma_Scores |
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Source |
Type III Sum of Squares |
df |
Mean Square |
F |
Sig. |
Partial Eta Squared |
Corrected Model |
409.910a |
5 |
81.982 |
4.032 |
.006 |
.387 |
Intercept |
5887.515 |
1 |
5887.515 |
289.561 |
.000 |
.900 |
Training |
105.501 |
1 |
105.501 |
5.189 |
.030 |
.140 |
First_Responders |
285.766 |
2 |
142.883 |
7.027 |
.003 |
.305 |
Training * First_Responders |
14.221 |
2 |
7.111 |
.350 |
.708 |
.021 |
Error |
650.643 |
32 |
20.333 |
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Total |
6849.000 |
38 |
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Corrected Total |
1060.553 |
37 |
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a. R Squared = .387 (Adjusted R Squared = .291) How do I write an APA style result for this data? |
Intearction effect :
Training * First_Responders: The p-value for the interaction effect of Training and First_Responders is 0.708 and greater than 0.05 significance level. Hence, we can conclude that the interaction effect of Training and First_Responders does not have significant effect on the response variable Trauma Scores.
Main effect:
i) Training: The p-value for the main effect Training is 0.030 and less than 0.05 significance level. Hence, we can conclude that the main effect Training has a significant effect on the response variable Trauma Scores.
ii) First_Responders: The p-value for the main effect First_Responders is 0.030 and less than 0.05 significance level. Hence, we can conclude that the main effect First_Responders has a significant effect on the response variable Trauma Scores.
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