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Table 1.

Descriptive analyses of each questionnaire’s sample.

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Table 1 Expand

Fig 1.

Demographic characteristics of participants.

Age distribution across the 20 questionnaires, each represented by a different line. The grey scale for each line represents the gender proportion in the specific sample of participants.

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Fig 1 Expand

Table 2.

Descriptive statistics for the variables considered in this study.

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Table 2 Expand

Fig 2.

Distribution of valid data points.

Distribution of the final number of valid data points (243,824) across the 10 variables of interest.

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Fig 2 Expand

Table 3.

Pearson’s correlations.

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Table 3 Expand

Table 4.

Correlation values for each variable resulting from the average split–half correlation for each questionnaire.

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Table 4 Expand

Fig 3.

Measures reliability.

Distribution Boxplots of the overall half-split reliability distributions over 1,000 random replicates, run separately for each questionnaire and for each variable.

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Fig 3 Expand

Fig 4.

Variables distribution.

Distribution of the variables in the final dataset.

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Fig 4 Expand

Table 5.

Descriptive statistics and t-test concerning the ratings provided by male and female responders.

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Table 5 Expand

Fig 5.

Hierarchical Clustering Analysis dendrogram.

Dendrogram resulting from the Hierarchical Clustering Analysis of the 16 variables.

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Fig 5 Expand

Fig 6.

Partial correlations among all the variables.

The dot color indicates the direction of the correlation (blue for direct, red for inverse) and the size and transparency its strength.

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Fig 6 Expand

Table 6.

Partial correlations among all the variables.

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Table 6 Expand

Fig 7.

Partial scatterplot.

Partial scatterplot of mean values in the Valence and Arousal dimensions, along with the quadratic regression line (R2 = .33).

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Fig 7 Expand