One Way ANOVA Write up

Complete the section in bold:

Inspection of boxplots and z-scores indicated there were no significant outliers present in the data. The data were approximately normally distributed as indicated by skew and kurtosis z-scores within the +/- 1.96 range, histograms that demonstrated an approximate bell-shaped curve and Shaprio-Wilk test (p > .05) for each level of the independent variable. Moreover, Levene’s test of equality of error variances indicated the assumption of homogeneity of variance was met, F(X, X) = X, p = X. Therefore, the data met the assumptions required to perform a one-way ANOVA.

Answer explanation

This comes from our ANOVA output when we tick the 'homogeneity tests' setting tick box when setting up the ANOVA and is reported in the same way as the ANOVA test.

Complete the section in bold:

In order to test whether Group explained a significant amount of the variation in DV, a One-way between subject ANOVA was run. A significant main effect of Group on DV was found, F(X, X) = X, p < X, η2 = X

Answer explanation

This is our omnibus ANOVA that tells us IF there are any differences between our groups/conditions. Remember we often round to two decimal places, except with the p-value which is always reported to three decimal places.

Complete the bold section (what correction did we use?):

X corrected post hoc tests were run to compare the DV across the experimental groups.

Answer explanation

We used the Tukey correction. You can find this information from your output above the multiple comparisons table. Whatever correction you end up using, you must report it in the write up.

Complete the bold sections of the below (separate the brackets with a comma in the answer box):

It was observed that group 1 (M = X, SD = X) scored significantly lower as compared to group 2 (M = X, SD = X, t(X) = X, p < X)

Answer explanation

The means and standard deviations come from the descriptive statistics table near the top of your output. The group comparison t-test comes from the multiple comparisons table, to get the t-value we divide the mean difference by the standard error. The degree of freedom is the same as the error degree of freedom from the ANOVA.

Complete the bold section:

It was observed that group 1 scored significantly lower (M = 9.50, SD = 5.51) as compared to group 2 (M = 35.50, SD = 8.41, t(57)= -11.40, p < .001) and as compared to group 3 (M = X, SD = X, t(X)= X, p < X).

Answer explanation

As with the previous question, we need to get the mean and standard deviation from the descriptive statistics table and the t-test values from the multiple comparisons table.

Complete the bold section:

Moreover, group 2 also scored significantly lower as compared to group 3, t(X)= X, p < X.

Answer explanation

We need to find the group 2 against group 3 comparison in the multiple comparison table. Remember as you have already reported the means and standard deviations you do not need to do so again.

Which is the correct graph for this data?

• 
• 
• 
• 

Answer explanation

We found that group 1 scored significantly lower to both group 2 and group 3. Group 2 also scored significantly lower than group 3.