Left-Right Brain Research and Its Premature Generalization to the Counseling Setting

Brain lateralization research has led to speculation about counseling and guidance implications of left-right brain differences. Serious limitations in these implications are highlighted.     

Children and adults both see ‘pirates’ in ‘parties’: letter‐position effects for developing readers and skilled adult readers

Developing readers often make anagrammatical errors (e.g. misreading pirates as parties), suggesting they use letter position flexibly during word recognition. However, while it is widely assumed that the occurrence of these errors decreases with increases in reading skill, empirical evidence to support this distinction is lacking. Accordingly, we compared the performance of developing child readers (aged 8–10 years) against the end‐state performance of skilled adult readers in a timed naming task, employing anagrams used previously in this area of research. Moreover, to explore the use of letter position by developing readers and skilled adult readers more fully, we used anagrams which, to form another word, required letter transpositions over only interior letter positions, or both interior and exterior letter positions. The patterns of effects across these two anagram types for the two groups of readers were very similar. In particular, both groups showed similarly slowed response times (and developing readers increased errors) for anagrams requiring only interior letter transpositions but not for anagrams that required exterior letter transpositions. This similarity in the naming performance of developing readers and skilled adult readers suggests that the end‐state skilled use of letter position is established earlier during reading development than is widely assumed.     

Multiattribute Decision Making in Context: A Dynamic Neural Network Methodology

A theoretical structure for multiattribute decision making is presented, based on a dynamical system for interactions in a neural network incorporating affective and rational variables. This enables modeling of problems that elude two prevailing economic decision theories: subjective expected utility theory and prospect theory. The network is unlike some that fit economic data by choosing optimal weights or coefficients within a predetermined mathematical framework. Rather, the framework itself is based on principles used elsewhere to model many other cognitive and behavioral data, in a manner approximating how humans perform behavioral functions. Different, interconnected modules within the network encode (a) attributes of objects among which choices are made, (b) object categories, (c) and goals of the decision maker. An example is utilized to simulate the actual consumer choice between old and new versions of Coca-Cola. Potential applications are also discussed to market decisions involving negotiations between participants, such as international petroleum traders.