1. Variance priming.
Variance priming. (A) Mean RTs for both levels of prime variance (x axis; high or low) and both levels of target variance (lines; high vs. low). Error bars are SEM. (B) Regression weights are plotted for element-specific differences (|prime–target|), variance of the target (Target), prime (Prime) and their interaction (T × P) for the irrelevant and the relevant dimension. *P < 0.05, **P < 0.01, or ***P < (C) Mean RTs from Exp. 2 for both levels of prime mean distance to category boundary (x axis) and both levels of target mean distance to category boundary (lines). Error bars as for A. (D) Mean RTs from Exp. 2 for both levels of prime variance (x axis) and both levels of target variance (lines). Error bars as for A.
Elizabeth Michael et al. PNAS 2014;111:21:
©2014 by National Academy of Sciences