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We therefore calculated for each target the percentage of perceivers who had categorized the target as a Democrat in Study 2 and correlated these values with both Power and Warmth.
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Seventy-four percent of participants categorized the targets at rates better than chance guessing and there were no significant differences in accuracy between male and female participants in this study [t(21) = 1.00, p = .33] or in any of those that follow; we therefore consider participant gender no further.
Participants categorized the targets by means of the same two buttons as those used during the second and third training phases ("A" and "B").
Since the smRNAs with a common 3' end binding position on the EST share the same predicted cleavage site we considered them as one group and categorized the targets according to the offset distribution of these smRNA groups (Table 4).
In this now widely-used task, subjects are asked to categorize the target numbers 1 through 9 (excluding 5) as "larger or smaller than five".
This is similar to previous affective priming tasks in which participants were told to categorize the target as positive or negative [e.g., [ 59]].
The first categorized the non-target organisms into one of six functional guilds (herbivore, omnivore, predator, parasitoid, detritivores, or mixed).
We have subsequently categorized the mutual targets of Oct4 and Nanog according to the pattern of their combinatorial effect.
As is evident from the results of the pretest, a larger target step size was necessary for participants to categorize the nonspeech target range reliably.
To determine whether the mutations affected distinct functional groups, we categorized the affected gene targets by gene ontology (GO) classification.
First, we categorized the putative Wnt pathway target genes based on their KOG identity (EuKaryotic Orthologous Groups) (Yook et al. 2012) and occurrence of a known human ortholog (Shaye and Greenwald 2011).
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