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. 2022 May 2;50(6):1131–1146. doi: 10.3758/s13421-022-01316-z

Table 3.

Study 1b: Effect sizes of the difference between the ratings of the high and low poles of a face dimension for each condition

Face dimension pole
Face dimension Judgment Masking High
M (SD)
Low
M (SD)
High vs. Low Cohen’s d
[95% CI]
Dominance Dominance Masked 6.18 (1.56) 4.08 (1.49) p < .001 1.13 [0.83, 1.44]
Unmasked 6.19 (1.66) 4.06 (1.66) p < .001 1.12 [0.82, 1.43]
Trustw. Masked 4.38 (1.46) 5.44 (1.47) p < .001 -0.71 [-0.98, -0.45]
Unmasked 4.29 (1.71) 5.03 (1.73) p = .003 -0.38 [-0.63, -0.14]
Trustw. Dominance Masked 4.50 (1.38) 5.34 (1.49) p < .001 -0.65 [-0.91, -0.39]
Unmasked 4.51 (1.51) 5.66 (1.69) p < .001 -0.73 [-1, -0.47]
Trustw. Masked 5.36 (1.51) 5.24 (1.62) p = .611 0.08 [-0.15, 0.32]
Unmasked 5.3 (1.54) 4.24 (1.55) p < .001 0.69 [0.43, 0.96]

n = 140 for all cell means; positive (negative) Cohen’s d values indicate higher mean rating for the high (low) pole of face dimension. A Benjamini-Hochberg correction was applied to all p-values in this analysis