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Fig 1.

Image of the smart thermostat, SEM.

SEM is depicted in the thermostat description of the survey.

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Fig 1 Expand

Fig 2.

Recreation of image and text manipulation.

This is for a participant who indicated a low temperature setting of 70°F, and was assigned to the condition Language = Must, Temperature = Incongruent, Justification = Transparent. (Image and background photo, credit D.A.B.).

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Fig 2 Expand

Table 1.

Descriptive statistics for state reactance by condition.

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Table 1 Expand

Table 2.

Spearman correlations for dependent variables, covariates, and controls.

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Table 2 Expand

Fig 3.

Reactance measure means by Language condition.

Results from Tukey post-hoc tests are shown with +/- 2 standard error bars.

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Fig 3 Expand

Fig 4.

Reactance measure means by Temperature condition.

Results from ANCOVAs are shown with +/- 2 standard error bars.

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Fig 4 Expand

Fig 5.

Reactance measure means by Justification condition.

Results from ANCOVAs are shown with +/- 2 standard error bars.

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Fig 5 Expand

Table 3.

ANCOVA results for main effects on reactance.

Interactions are reported in S1 Table.

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Table 3 Expand

Table 4.

ANCOVA results for Behavioral Intention.

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Table 4 Expand

Fig 6.

Effect of Temperature and Justification on Behavioral Intention.

Results from Tukey post-hoc tests are shown with +/- 2 standard error bars.

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Fig 6 Expand

Fig 7.

Mediation effects of reactance.

This shows the relationship between justification and behavioral intention for (a) negative cognitions, (b) anger, and (c) threat to freedom.

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Fig 7 Expand