Psychologists are emphasizing the importance of predictive conclusions. Machine learning methods, such as supervised neural networks, have been used in psychological studies as they naturally fit prediction tasks. However, we are concerned about whether neural networks fitted with random datasets (i.e., datasets where there is no relationship…

Proactive interference (PI) may influence the predictive utility of working memory span tasks. Participants in one experiment (N=70) completed Ravens Advanced Progressive Matrices (RAPM) and multiple versions of operation span and probed recall, modified for the type of memoranda (digits or words). Changing memoranda within- or across-trials…

Although functional neuroimaging studies of human decision-making processes are increasingly common, most of the research in this area has relied on passive tasks that generate little individual variability. Relatively little attention has been paid to the ability of brain activity to predict overt behavior. Using functional magnetic resonance…

As part of a study to determine whether visual and manual response systems are correlated, 26 children between 40 and 51 months of age took part in visual and manual reaction time (RT) tasks. Subjects, whose RTs had previously been tested at 3 months of age, were tested in 1 of 2 conditions. In the first condition, subjects viewed pictures only…

Discussion of text segmenting and comprehension highlights a study of elementary students in Australia that tested two hypotheses, one concerning reading abilities and one concerning information processing skills involved in syntactic analysis. Tests that measured vocabulary, comprehension, and processing skills are described, results are…