Table 2.

Logistic regressions forecasting aggregate funding outcomes on the Internet for main and replication studies

Main studyReplication study
BehavioralAffectiveNeuralCombinedBehavioralAffectiveNeuralCombined
Funding choice0.572 (886)0.761 (1.302)0.515 (1.632)1.826 (1.421)
Liking−1.154 (0.985)−1.090 (1.564)
Success likelihood0.131 (0.528)0.068 (1.127)
Positive arousal−0.489 (0.390)0.045 (0.749)−0.729 (0.439)−3.026 (1.657)
Negative arousal0.110 (0.392)0.087 (0.523)−0.536 (0.405)−1.337 (0.689)
NAcc1.691 (0.774)*a1.751 (0.816)*a2.098 (0.940)*a3.872 (2.199)a
MPFC−0.991 (0.723)−0.673 (0.830)−0.593 (0.509)−0.557 (0.747)
IFG (left)−0.729 (0.667)−0.616 (0.778)−0.687 (0.457)−1.217 (0.789)
Amygdala1.068 (0.702)0.973 (0.817)0.126 (0.527)−0.049 (0.646)
Insula−0.601 (0.828)−0.733 (0.932)−0.665 (0.609)−0.188 (0.998)
Pseudo-R20.1060.0890.2360.2570.0920.1830.3040.517
AIC54.6353.4652.1459.0749.7047.2847.5143.22
Classification accuracy52.951.859.1*56.5*55.855.261.1*59.3*
  • Statistics are standardized coefficients and SE. Models include fixed effect of stimulus image category.

  • a Predicted association.

  • * p < 0.05;

  • p < 0.10.