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Fig 1.

Multidimensional model of well-being.

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Fig 1 Expand

Table 1.

Descriptives, item-total correlations (with item deleted), and factor loadings of the Well-being Numerical Rating Scales (WB-NRSs).

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Table 1 Expand

Table 2.

Item response theory parameters of the Well-being Numerical Rating Scales (WB-NRSs).

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Table 2 Expand

Fig 2.

Item Characteristic Curve (ICC) and Item Information Function (IIF) of the 5 items of the Well-being Numerical Rating Scales (WB-NRSs).

Latent trait (Theta) is shown on the horizontal axis, the probability of endorsing a response option (solid line) is shown on the left vertical axis, and the amount of information (dotted line) yielded by the item at each trait level is shown on the right vertical axis.

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Fig 2 Expand

Table 3.

Bivariate Bayesian correlates between the Well-being Numerical Rating Scales (WB-NRSs) and the other variables in the study in the clinical sample.

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Table 4.

Bivariate Bayesian correlates between the Well-being Numerical Rating Scales (WB-NRSs) and the other variables in the study in the non-clinical samples.

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Table 5.

Bivariate Bayesian correlates between the Well-being Numerical Rating Scales (WB-NRSs) and the Psychological Well-being Scales (PWBS).

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Table 6.

Descriptives, item-total correlations (with item deleted), and factor loadings of the Well-being Numerical Rating Scales (WB-NRSs) in the Canadian and Italian samples.

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Table 6 Expand

Table 7.

Differential item functioning analyses of the Well-being Numerical Rating Scales (WB-NRSs) across Italian and Canadian samples.

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Table 8.

Bivariate Bayesian correlates between the Well-being Numerical Rating Scales (WB-NRSs) and the other variables in the study.

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Table 8 Expand