Please enable JavaScript.

Coggle requires JavaScript to display documents.

JASP OUTPUT: Two-way factorial Independent ANOVA, 1_rDu4RAkxYjZecuGib7czv…

- - - - Look at IV1 * IV2 in the ANOVA table
        
        is the P value p<.05
        
        YES
        
        There was a significant IV1 IV2 interaction (F ([df for IV],[df for residuals ]) = [state the F], [insert p value], ɲ² p = [state eta square])
        *should look like
        (F (2,41 ) = 13.67, p <.001, ɲ² p = .40)
        
        F value = to 2dp (13.669 --> 13.67)
        
        ɲ² p = to 2dp (0.400 --> 0.40)
        
        1 more item...
        
        NO:
        
        YES: Approach 3
        
        it was found through the exploratory post-hoc test that there was/was not a significant IV1 IV2 interaction (p =?). Use the descriptions to describe the findings*
        
        should look like
        Participants in the 1 beer condition deviated more (M = 19.56, SD = 4.41) compared to participants who had no beer (M = 15.31, SD = 3.96)
        :black_flag: when collecting M and SD, look down that conditions column, not across (duh)
        
        M = 2dp (19.563 --> 19.56)
        
        SD = 2dp (4.412 --> 4.41)
        
        2 more items...
  - - - you need to look at both the descriptive statistics for IV 1 and the follow up which showed the direction of the significance.
      - the main effect of (IV) was significant (F ([df for IV],[df for residuals ]) = [state the F], [insert p value], ɲ² p = [state eta square])
        should look like
        (F (2,41 ) = 13.67, p <.001, ɲ² p = .40)
        
        F value = to 2dp (13.669 --> 13.67)
        
        ɲ² p = to 2dp (0.400 --> 0.40)
        
        NOW mention the follow up
        
        Describe the direction of the significance, including p values
        
        Furthermore, the Bonferronni corrected post-hoc showed that drivers deviated significantly more after they had two beers compared to no beer (p <.001) and to one beer (p = .023).
    - - there is no need to follow up
        
        the main effect of (IV) was NOT significant (F ([df for IV],[df for residuals ]) = [state the F], [insert p value], ɲ² p = [state eta square])
      - NO