The Behavioral Score Approach to Dependent Variables

Theoretical explanation is most often confined to the independent or predictor variables in most consumer research. Consumer behavior itself is either not measured or measured as a single manifest variable, usually of the form, How/will you buy/use product––in a period of time? Dependent variables should be considered from a more theoretical point of view. To this end we develop an approach to dependent variables using behavior scores that span the theoretical domain of a behavior. We apply this approach to develop a specific measure of newspaper readership using data from a national sample of 37,000 consumers.     

Effects of Trust in Superiors and Influence of Superiors on the Association Between Individual-Job Congruence and Job Performance/Satisfaction

This research examines the moderating influences of trust in superiors and influence of superiors as elements of an organization communication system on the association between individual-job congruence and job performance/satisfaction. Data from 302 employees were used to assess the research design variables of growth need strength, job scope, trust in superiors, influence of superiors, job performance, and job satisfaction. Moderated regression analysis gave weak support to trust and influence as moderators of the association between individual-job congruence and both job performance and satisfaction. The results did, however, provide justification for trust in superiors and influence of superiors as predictors of performance and satisfaction. The data suggest that other factors may account for changes in the research variables.     

Developmental trajectories of childhood disruptive behaviors and adolescent delinquency: a six-site,cross-national study

This study used data from 6 sites and 3 countries to examine the developmental course of physical aggression in childhood and to analyze its linkage to violent and nonviolent offending outcomes in adolescence. The results indicate that among boys there is continuity in problem behavior from childhood to adolescence and that such continuity is especially acute when early problem behavior takes the form of physical aggression. Chronic physical aggression during the elementary school years specifically increases the risk for continued physical violence as well as other nonviolent forms of delinquency during adolescence. However, this conclusion is reserved primarily for boys, because the results indicate no clear linkage between childhood physical aggression and adolescent offending among female samples despite notable similarities across male and female samples in the developmental course of physical aggression in childhood.     

Neuropsychology,genetic liability,and psychotic symptoms in those at high risk of schizophrenia

Neuropsychological assessments were compared among individuals at enhanced genetic risk of schizophrenia (n = 157) and controls (n = 34). The relationship between cognitive impairments and the presence of psychotic symptoms and measures of genetic risk was explored in the high-risk subjects. Neuropsychological differences were identified in many areas of function and were not accounted for by the presence of psychotic symptoms. Genetic liability was not associated with neuropsychological performance or with psychotic symptoms, but exploratory analysis showed some tests were associated with both liability measures. These results suggest that what is inherited is not the disorder itself but a state of vulnerability manifested by neuropsychological impairment, occurring in many more individuals than are predicted to develop the disorder.     

Linking Childhood Sexual Abuse and Early Adolescent Risk Behavior: The Intervening Role of Internalizing and Externalizing Problems

A robust literature links childhood sexual abuse (CSA) to later substance use and sexual risk behavior; yet, relatively little empirical attention has been devoted to identifying the mechanisms linking CSA to risky behavior among youth, with even less work examining such processes in boys. With the aim of addressing this gap in the literature, the current study examined the indirect effect of childhood sexual abuse (CSA; from age 2 to 12) trajectory group on risky behavior at age 14 (alcohol use & sexual intercourse) via the intervening role of caregiver-reported internalizing and externalizing problems at age 12. Analyses were conducted with a subsample of youth (n?=?657 sexual intercourse; n?=?667 alcohol use) from the Longitudinal Studies of Child Abuse and Neglect (LONGSCAN), a multisite prospective study of youth at risk for maltreatment. For boys and girls, there was an indirect effect from CSA to sexual intercourse through externalizing problems. The same pattern emerged for alcohol use, but only for girls. Findings did not support an indirect path through internalizing problems for either boys or girls for either outcome. Findings suggest more focal targets for prevention efforts aimed at maintaining the health and safety of maltreated boys and girls during the adolescent transition.     

Model-Based Wisdom of the Crowd for Sequential Decision-Making Tasks

We study the wisdom of the crowd in three sequential decision-making tasks: the Balloon Analogue Risk Task (BART), optimal stopping problems, and bandit problems. We consider a behavior-based approach, using majority decisions to determine crowd behavior and show that this approach performs poorly in the BART and bandit tasks. The key problem is that the crowd becomes progressively more extreme as the decision sequence progresses, because the diversity of opinion that underlies the wisdom of the crowd is lost. We also consider model-based approaches to each task. This involves inferring cognitive models for each individual based on their observed behavior, and using these models to predict what each individual would do in any possible task situation. We show that this approach performs robustly well for all three tasks and has the additional advantage of being able to generalize to new problems for which there are no behavioral data. We discuss potential applications of the model-based approach to real-world sequential decision problems and discuss how our approach contributes to the understanding of collective intelligence.