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Table 1 Generalized Linear Mix Model Values for Treatment Conditions

From: Additional evidence that contour attributes are not essential cues for object recognition

 

Contiguous Subsets

Random Subsets

T3 (ms)

Mean

SEM

Backtransformed

Mean

SEM

Backtransformed

1

1.056

0.369

0.742

1.435

0.382

0.808

3

0.879

0.363

0.707

0.537

0.359

0.631

9

0.213

0.354

0.553

0.284

0.354

0.570

27

-0.442

0.358

0.391

-1.425

0.386

0.194

  1. The Generalized Linear Mixed Model transforms the percent recognition of shapes into logit values, i.e., loge (proportion/1-proportion). The mean logit values and the standard errors of these means are given for each T3 interval for the contiguous and random subset data. The logit values have also been backtransformed into model predictions of recognition rate.
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Behavioral and Brain Functions

ISSN: 1744-9081

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