This finding is particularly convincing as it indicates that electrophysiological measures obtained during visual search are predicted by behavioral measures of VWM capacity obtained independently of search.
These models assume that behavior can be predicted by a behavioral intention, which is influenced by proximal factors (social cognitive concepts: attitudes, perceived social influences and self-efficacy expectancies), which in turn can be influenced by more distal factors.
Second, in future work we will use regression methods for the analysis of longitudinal data to investigate whether there are cyclical time trends for the outcomes, and whether any such trends may be predicted by demographic and behavioral variables.
We suggest that these neuropsychiatric phenotypes should be considered social-behavioral manifestations of NF1 (rather than intermediate phenotypes), which, in turn, could be predicted by cognitive deficits.
The latter, a hallmark feature of addiction (17), is predicted by the behavioral trait of high impulsivity (18), which is associated with low D2/3 dopamine receptor availability in the ventral striatum (19).
According to the TPB, behavior is predicted by intention and perceived behavioral control when the context is less volitional.
In a modified dice-game paradigm, a highly specific behavioral pattern was predicted by this hypothesis and results from a large (N = 765), incentivized and fully anonymous study confirmed the latter, thus corroborating that people indeed avoid major lies.
Results: Young males' intention to drink and drive is predicted by their attitudes, their perceived behavioral control (PBC), and, to a lesser degree, subjective norms.
Moreover, behavioral performance was predicted by trial-to-trial fluctuations in strength of distractor-suppression for high-WMC participants.
We examined whether performance on the behavioral task was predicted by WM in the CC.
