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Spearman's rank correlation coefficients between items and subscale scores are showed in Table 2.
Pearson correlation coefficients between items and subscale scores are presented in Table 3.
Values denote Cronbach's Alpha Coefficient Spearman's rank correlation coefficients between items and subscale scores are shown in Table 4.
In order to evaluate the item-subscale correlations, Pearson correlations between items and subscale scores were analyzed.
The Spearman's rank correlation coefficients between items and subscale scores were computed to determine the item-subscale correlations.
* α = Cronbach's alpha coefficients § ICC = Intraclass correlation coefficient N/A = not applicable Pearson correlation coefficients between items and subscale scores are presented in Table 4.
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The study's survey of correlation coefficients between items and subscales illustrated that those coefficients varied between 0.24 and 0.68.
c Correlations between items and hypothesized subscale corrected for overlap.
Correlational analyses between items and total subscales were conducted to measure the degree with which the items for each subscale capture specific characteristics or homogeneity as shown in the Table 2.
d Correlations between items and other subscales.
There were higher correlation coefficients between items and their hypothesized subscales than those with other subscales.
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