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Analyses which include both correlation and mean difference testing are needed in order to provide more conclusive evidence regarding the relationship between parent and child ratings.
Based on our estimated sample size in each of the conditions at 12-month follow-up, and with the expectation of a small-to-moderate effect size d =.20, the power of the analyses for aged care resident data is calculated at 0.99, and for the staff data at.91 at the two-sided significance level of α =.05 for both our mean difference testing and categorical analyses [ 22].
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Hence, we refer to reported information on mean difference tests or correlation matrices.
However, studies using a hedging dummy variable routinely report the descriptive statistics for hedgers and non-hedgers or a mean difference test between both groups, consequently providing us with sufficient information to extract correlations.
Spike time shifts were considered significant when a mean difference test, based on Student's t-test, gave p<0.01.
As they were quite variable in between neurons, the differences across these populations were not significant (mean difference test as above).
Table 1 shows the summary statistics for main variables with a mean difference test between the groups.
The last column presents the p-values for the mean difference test between control and intervention groups.
Statistical tests of difference in proportions or mean difference tests (or non-parametric equivalents) will be used to examine differences between intervention and control groups.
In this paper, the default pair of non parametric statistics is used, which are the mean difference test and the Mann-Whitney U test.
Mean difference tests for baseline and dobutamine-stimulated haemodynamic/oxygen transport variables in survivors and non-survivors are shown in Table 2.
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