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how do adolescents define depression? - cIRcle - University of ...

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Chapter IV: Results<br />

inhibition; were considered acceptable for this study. Table 27 includes the means, standard<br />

deviations, skewness, kurtosis, and range for the measures used in regression analysis.<br />

Table 27<br />

Descriptives <strong>of</strong> Measures used in Regression analyses, N = 332<br />

Variable M SD Skewness Kurtosis Range<br />

Depressive Symptomatology (RADS-2) 56.27 13.30 .65 .46 31-103<br />

Social Perspective Coordination (4+Rel-Q) 2.17 .14 -.85 2.21 1.44-2.50<br />

Poor Emotion Awareness (EESC) 2.00 .78 .93 .32 1.00-4.50<br />

Expressive Reluctance (EESC) 2.44 .84 .45 -.53 1.00-4.75<br />

Sadness Management: Coping (CSMS) 2.16 .40 -.18 -.34 1.00-3.00<br />

Anger Management: Inhibition (CAMS) 1.74 .51 .41 -.45 1.00-3.00<br />

Box plots were used to identify univariate outliers in the measures that identify social<br />

perspective coordination (4+Rel-Q), depressive symptomatology (RADS-2), emotion awareness<br />

(EESC scale) and expression <strong>of</strong> emotion (EESC scale), and sadness (CSMS scale) and anger<br />

regulation (CAMS scale). Out-<strong>of</strong>-range values were checked against the original data for<br />

accuracy <strong>of</strong> input. Upon visual inspection <strong>of</strong> the distributions, one univariate outlier was<br />

identified in the 4+Rel-Q, but it disappeared upon examination for multivariate outliers and<br />

hence did not affect multivariate distribution. As noted by Tabachnick and Fidell (2001) and<br />

others (Stevens, 1992), in samples with more than 100 cases, a few outliers can be expected by<br />

chance. This one case was retained for all multivariate analyses.<br />

Using Mahalanobis distance with p < .001 (Tabachnick & Fidell, 2001) scatterplot, three<br />

multivariate outliers were identified. Mahalanobis distance was also calculated as chi-square<br />

with degrees <strong>of</strong> free<strong>do</strong>m equal to the number <strong>of</strong> observed variables in the hypothesized model<br />

(Tabachnick & Fidell, 2001). For the present study, which implemented seven independent<br />

variables for the regression analysis, the X 2 critical value at p

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