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Derrington 2012 thesis.pdf - Anglia Ruskin Research Online

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more varied (Centre= -2.5; CVC=16.33). In total, 67% teachers reported<br />

improvement and that students were coping better at school after they had had music<br />

therapy.<br />

6.6.2 The teachers’ questionnaire: inferential statistics<br />

The analysis of variants (ANOVA) was carried out on teacher 1 scores, to observe<br />

any statistical significance, or p-values. Levene’s test (1960) assessed the quality of<br />

variances and tested the null hypo<strong>thesis</strong> that the error variance of the dependent<br />

variable was equal across groups, shown in table 6.6c.i (appendix 6.6c) 48 .<br />

The test of between-subjects effects presented in table 6.6c.II (appendix 6.6c) shows<br />

that the baseline scores, made by teacher 1, were not a significant influence on the<br />

change in scores (p-value=0.205). Likewise, neither of the other main effects of<br />

school or group, nor their interaction, made a significant difference to the change in<br />

scores (p-values =0.900, 0.368 and 0.712, respectively).<br />

The observed power for the main effects of the teacher’s baseline assessment, the<br />

school and the group was just 24%, 6% and 14% respectively. This proves that the<br />

sample size was not large enough to reject the null hypo<strong>thesis</strong>: the null hypo<strong>thesis</strong><br />

was that there was no effect of these variables on the change scores. Therefore this<br />

does not mean that there was no influence of the main effects but there was not<br />

enough data to show it. As a result, no further analysis using the other teachers’<br />

scores was carried out.<br />

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!<br />

%) !Levene’s test looked at all the possible variants and combinations between the<br />

groups and schools. The result proved that the standard deviation was not significant<br />

(p-value= 0.482) because it was similar enough between both groups, and therefore<br />

the null hypo<strong>thesis</strong> need not be rejected. This is important because the assumptions<br />

for the ANOVA were that the data were normally distributed and of equal variances.<br />

!<br />

! "''!

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