Skip to main content
. Author manuscript; available in PMC: 2020 Sep 25.
Published in final edited form as: Vis cogn. 2019 Sep 16;27(5-8):387–415. doi: 10.1080/13506285.2019.1659896

TABLE 2.

Percent correct mean ± SD (%) and associated ANOVA table.

Monkey Da Logit Transformation

Predictor Sum of squares df Mean square F p
Cue discrimiminability Discriminability 1.2597 1 1.2597 9.25 0.000
High Low Identifiability 42.9175 1 42.9175 315.26 0.003
Singleton identifiability High 78.3 ± 4.4 80.6 ± 4.2 Discriminability x Identifiability 0.1234 1 0.1234 91 0.343
Low 51.2 ± 10.0 57.6 ± 11.4 Error 15.7915 116 0.1361
Monkey Le Logit Transformation

Predictor Sum of squares df Mean square F p
Cue discriminability Discriminability 0.009 1 556.1 0.04 0.850
High Low Identifiability 209.5 1 0.04 843.65 0.000
Singleton identifiability High 87.2 ± 5.4 86.9 ± 5.6 Discriminability x Identifiability 0 1 < 0.001 < 0.001 0.968
Low 35.1 ± 7.2 35.5 ± 10.0 Error 28.813 116 66.6