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other. Linear regression analysis3 was used to test whether the combination of the formal elements “movement”, “dynamic” and “contour” was related to clients’ scores on the BSI, RS-nl, and AAQ-II. All analyses were conducted in SPSS version 25.
Results
Table 4 gives an overview of the mean scores, standard deviations, and variances for the formal elements “movement”, “dynamic” and “contour” and for the BSI, RS-nl, and AAQ-II scores.
Table 4.Descriptive statistics for the formal elements dynamic, movement and contour, and the BSI, RS-nl, and AAQ-II scores
Dynamic
Movement
Contour
BSI
RS-nl
AAQ-II
Mean
90.07
60.77
30.60
Std. Deviation Min. Max.
.66 1 4
.82 2 4
.78 1 4
36.45 12 163
10.25 40 80
9.18 17 51
2.50
3.00
2.50
Inter-relatedness of formal elements
Results of the Spearman correlation analysis indicated a positive significant relationship between “movement” and “dynamic:” rs (46) = .76, p < .001. This suggests that an increase in “movement” is related to an increase in “dynamic” and vice versa. The results also indicated a significant negative relationship between both “movement” and “contour:” rs (46) = -.41, p = .004 and “dynamic” rs (46) = -.34, p = .020 and “contour”.
Relationship between formal elements and mental health
Results of the regression analysis (see Table 5) showed that even though “dynamic” and “movement” significantly related to the BSI total score, the overall model was not significant (R2 = .16, p = .072). The overall model significantly related to the AAQ-II total score (R2 = .29, p = .003), however,
3 Regression analysis seeks to predict the outcome of one or more predictors (Field, 2016).
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