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Table 1.

Factor loadings based on a principal components analysis with oblimin rotation for 18 items from the Passive and Active Usage Scale (PAUS) (N = 230).

Asterisked items were included in the final scale.

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Table 1 Expand

Table 2.

Correlation matrix between active and passive usage and SWB (N = 78).

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Table 2 Expand

Fig 1.

Moderation effect of active user score on the effect of experimental condition on change in positive affect from T1 to T2.

Positive scores indicate an increase in T2, negative scores indicate a decrease. The unstandardized betas (bi) and significance (p) are reported, adjacent to each line, for the simple slopes analysis of the interaction.

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Fig 1 Expand

Fig 2.

Marginally significant moderation effect of active user score on the effect of experimental condition on change in negative affect from T1 to T2.

Positive scores indicate an increase in T2, negative scores indicate a decrease. The unstandardized betas (bi) and significance (p) are reported, adjacent to each line, for the simple slopes analysis of the interaction.

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Fig 2 Expand

Table 3.

Multiple regression models examining experimental condition, SNS usage style, and their interaction as predictors of change in positive affect (PA), negative affect (NA), and life satisfaction from Time 1 to Time 2.

Standardized coefficients are presented (N = 78).

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Table 3 Expand