Detection in a four-observation two-channel task

Two models are proposed for a four-observation two-channel forced-choice paradigm of signal detection. The first model, an extension of signal detection theory, fails, while the second model, an extension of the classical decision threshold model, succeeds.     

Effects of modeling and expectancy of reward on cheating behavior

The present experiment compared the effects of modeling honest and dishonest responses with the effects of expectancy of reward. Sixty preschool children viewed one of three modeling films prior to their playing a pegboard game: (a) dishonest model receiving positive reinforcement, (b) dishonest model receiving no reinforcement, and (c) honest model receiving positive reinforcement.Ss were also told that a reward was dependent on a high level of performance or that a reward was noncontingent on performance with a bonus reward contingent on performance. An overwhelming majority of children in all groups imitated the model they observed with no significant effect due to expectancy of reward.Grateful appreciation is expressed to Dr. Kennedy T. Hill for his helpful comments as a second reader. The authors would also like to thank those who served as observers, models, or experimenters; they included Ellen Cosgrove, Lee June, Judy Kramer, Paul Meranto. Robert McGrath, Loren Rappaport, and William Smith. Finally the children, parents, and staff of the Children's Research Center Preschool, University of Illinois, are to be thanked for their cooperation. The preschool is supported by a training grant in child psychology. HD 00244, from the National Institute of Child Health and Human Development.     

The Correspondence between Human Intelligibility and Physical Intelligibility: The View of Jean Ladrière

This article seeks to explain the correspondence between human intelligibility and that of the physical world by synthesizing the contributions of Jean Ladrière. Ladrière shows that the objectification function of formal symbolism in mathematics as an artificial language has operative power acquired through algorithm to represent physical reality. In physical theories, mathematics relates to observations through theoretic and empirical languages mutually interacting in a methodological circle, and nonmathematical anticipatory intention guides mathematical algorithmic exploration. Ladrière reasons that mathematics can make the physical world comprehensible because of the presence of a rational principle in both kinds of intelligibility.     

On S

The sentential logic S extends classical logic by an implication-like connective. The logic was first presented by Chellas as the smallest system modelled by contraining the Stalnaker-Lewis semantics for counterfactual conditionals such that the conditional is effectively evaluated as in the ternary relations semantics for relevant logics. The resulting logic occupies a key position among modal and substructural logics. We prove completeness results and study conditions for proceeding from one family of logics to another.We are grateful to Peter Apostoli, Kosta Doen, and anonymous referees for their comments on an earlier version of this paper. A.F.'s work has been supported by a grant from the Volkswagen-Stiftung.Presented byJan Zygmunt     

Arguments in the practical reasoning underlying constructed probability responses

Reasoning is an important cognitive activity in probability assessment, and one that has been understudied. This proposition motivates the paper's three general aims. First, based on research in rhetoric, we present a theoretical means of analyzing the arguments constructed during the reasoning that occurs in probability assessment. Second, from verbal protocol data, we establish that subjects constructed arguments in forming beliefs and assessing the associated probabilities. Third, we analyze the data for the structure of subject's arguments, including argument content and form. Subjects used a limited amount of relevant evidence and used a variety of argument forms that could be characterized by the nature of the knowledge that subjects brought to bear in forming the arguments. Subjects predominantly used causal reasoning, but also employed hierarchical category knowledge, resemblance relationships, and arguments from authority. These findings form a basis for expanding our accounts of probability assessment and for improving assessment practice.     

A first examination of the relationships between primed subconscious goals, assigned conscious goals, and task performance

The authors conducted 2 studies of subconscious goal motivation. First, the authors ran a pilot study to establish the effects of priming of subconscious goals on a performance task frequently used in goal setting research. Second, the authors conducted the main study in which the authors examined the effects of both priming of subconscious goals and assigned conscious goals on the same performance task. The authors found significant main effects of both manipulations and a significant interaction between subconscious and conscious goals. The effects of conscious difficult and do-best goals were enhanced by subconscious goals, although conscious easy goals were not affected. All effects from the main study still held after 1 day.     

Core self-evaluations and job and life satisfaction: the role of self-concordance and goal attainment

The present study tested a model explaining how the core self-evaluations (i.e., positive self-regard) concept is linked to job and life satisfaction. The self-concordance model, which focuses on motives underlying goal pursuit, was used as an explanatory framework. Data were collected from 2 samples: (a) 183 university students (longitudinal measures of goal attainment and life satisfaction were used) and (b) 251 employees (longitudinal measures of goal attainment and job satisfaction were utilized). In both studies, the core self-evaluations concept was positively related to goal self-concordance, meaning that individuals with positive self-regard were more likely to pursue goals for intrinsic and identified (value-congruent) reasons. Furthermore, in both studies, goal self-concordance was related to satisfaction (job satisfaction in Study 1 and life satisfaction in Study 2).     

Digital filtering in EEG/ERP analysis: Some technical and empirical comparisons

A general approach to time domain digital filtering is described, and examples of some filters used in EEG/ERP research are presented. Simulations are reported that evaluate the impact of the relative length of the filter weight series and the signal cycle to be filtered, the span and real-time density of the filter weights, and slow drift across the epoch being filtered. Results indicate that some filters commonly used in the EEG/ERP literature are inadequate. Frequency domain digital filtering is also briefly discussed. The fast Hartley transform, a fast but relatively unknown computational method for frequency domain filtering of ERP/EEG data, is introduced and compared with time domain filtering. Some practical recommendations are provided.     

Brief report: Teaching persons with moderate mental retardation to use printed instructions and time cues in a work context

Printed instructions and programable watches were used for helping two adults with moderate mental retardation perform variable tasks and follow a time schedule for task execution. The subjects, who could not read, were to match the words appearing in instruction notes to identical words superimposed on illustrative pictures (and collected in a vocabulary form). The pictures identified through this matching explained the meaning of the words being matched (i.e., indicated to the subjects which responses/tasks to perform). Self-recording was also used. The results showed that both subjects learned to use the printed instructions and the watches successfully. The subjects' performance remained positive over time. Procedural aspects and practical implications of the study are discussed.