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. Author manuscript; available in PMC: 2013 Sep 15.
Published in final edited form as: Vision Res. 2012 Aug 2;69:10–22. doi: 10.1016/j.visres.2012.07.014

Table 2. Correlations with category accuracy. Zero-order Pearson's correlations are shown for correlations with Age For correlations with Sex, Spearman's correlation was used and male and female were coded as 1 and -1, respectively. 95% confidence intervals are shown in brackets.

Pearson's Correlation, r, with Age Spearman's Correlation, r, with Sex
CFMT .109* (−.022, .236) −0.108 (−.236, .023)
Leaves .014 (−.117, .145) −0.141* (−.267, −.01)
Owls −.010 (−.141, .121) −0.139* (−.265, −.008)
Butterflies .069 (−.062, .198) −0.227* (−.347, −.099)
Wadingbirds .093 (−.038, .221) −0.06 (−.189, .071)
Mushrooms .087 (−.044, .215) −0.073 (−.202, .058)
Cars .223* (.095, .344) 0.173* (.043, .297)
Planes .214** (.086, .335) 0.109 (−.022, .236)
Motorcycles .091 (−.04, .219) 0.113 (−.018, .24)

Note.

*

p < .0 < .05