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. 2017 Aug 17;22(2):200–214. doi: 10.1177/1368430217722036

Table 3.

Conditional process analyses: Testing the effect of noise on the magnitude of the mediators’ association with cooperation (Effect A × C).

Mediator
Benign impressions
MinDiff
MaxOther
MaxOwn
MaxRel
F p F p F p F p F p
Noise (A) 5.63 .018 3.49 .063 3.96 .047 2.59 .109 4.93 .027
Interaction type (B) 0.46 .498 0.54 .816 0.05 .830 0.25 .618 0.50 .480
A × B 1.68 .196 2.78 .097 3.74 .054 3.22 .074 2.42 .121
Mediator (C) 15.15 < .001 26.26 < .001 23.66 < .001 3.24 .073 3.66 .057
A × C 2.77 .097 11.23 .001 0.00 .987 3.09 .080 5.04 .026

Note. The dependent variable in each analysis is mean cooperation. Denominator degrees of freedom equal 277. MinDiff = partner’s tendency to minimize the difference between each party’s outcomes; MaxOther = partner’s tendency to maximize other’s (i.e., participant’s) outcomes; MaxOwn = partner’s tendency to maximize own outcomes; MaxRel = partner’s tendency to maximize relative advantage over the other (i.e., the participant).