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Fig 1.

Mean beauty and liking ratings for abstract and representational paintings.

Error bars represent 95% confidence intervals for which within-subjects variance has been removed using the approach described by Cousineau [31].

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Fig 1 Expand

Table 1.

Abstract paintings: Correlations between subjective ratings.

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Table 1 Expand

Table 2.

Representational paintings: Correlations between subjective ratings.

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Table 2 Expand

Table 3.

Regression model predicting beauty ratings for abstract paintings.

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Table 3 Expand

Table 4.

Adjusted R2 values (Cohen’s f2 effect size) for the subjective and objective predictor regression models.

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Table 4 Expand

Table 5.

Regression model predicting liking ratings for abstract paintings.

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Table 5 Expand

Table 6.

Regression model predicting beauty ratings for representational paintings.

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Table 6 Expand

Table 7.

Regression model predicting liking ratings for representational paintings.

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Table 7 Expand

Table 8.

Summary of significant predictors for each regression model.

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Table 8 Expand