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].
Table 1.
Abstract paintings: Correlations between subjective ratings.
Table 2.
Representational paintings: Correlations between subjective ratings.
Table 3.
Regression model predicting beauty ratings for abstract paintings.
Table 4.
Adjusted R2 values (Cohen’s f2 effect size) for the subjective and objective predictor regression models.
Table 5.
Regression model predicting liking ratings for abstract paintings.
Table 6.
Regression model predicting beauty ratings for representational paintings.
Table 7.
Regression model predicting liking ratings for representational paintings.
Table 8.
Summary of significant predictors for each regression model.