Judging a Book by its Cover: The Effects of Candidate Party Label and issue Stands on Voting Behavior

Americans vote party lines; nothing predicts election outcomes as well. People may vote party lines because party candidates have views that accurately reflect the positions of their members, because party identification acts as a convenient cue that eliminates the need for greater information search or cognitive processing, or because party classification biases interpretation of other information people have about the candidates. To investigate these competing hypotheses for party effects on voter decision making, participants were presented with a choice between 2 candidates whose policy positions were more inconsistent than consistent with their party identification (Study l), or completely inconsistent with their party identification (Study 2). People voted as a function of party label in Study I, but issue stand emerged as a stronger predictor in Study 2 (although Democrats were more likely to cross party lines than Republicans). These results suggest that party identification influences how other information about the candidate is perceived and processed. Theoretical and practical implications are discussed.     

Violent behavior in adolescents and young adults: A person and environment model

We explore a model that examines how personal and environmental variables explain violent behavior by adolescents. Repeated interviews with youths from 1984–1992 from 10 cities across the United States provided the data. These interviews first occurred with 2,787 youths when they were adolescents (1984–85 and 1986–87) and the interviews were repeated on a subsample of 602 youths when they were young adults (1989–90 and 1991–92). Longitudinal multivariate analyses showed that almost a third of the variance in adolescent violent behaviors was predicted by a combination of personal variables (gender, substance misuse) and environmental variables (history of child abuse, stressful events, traumatic events, and city rates of unemployment). Further, almost a third of the variance in change in violent behaviors from year to year was predicted by prior violent behavior and a combination of personal variables (gender, suicidality, and substance misuse) and environmental variables (stressful events).     

The role of dissimulation and social desirability in the measurement of moral reasoning

A series of studies investigating the psychometric and conceptual properties of the Survey of Ethical Attitudes (SEA), a paper-and-pencil measure of moral reasoning, is reported. The results of these studies indicate that the scale is clearly susceptible to the influence of response dissimulation in the form of both role-playing and impression management, and is also confounded with sources of stylistic variance in the form of social desirability. Previous proposals concerning the relationships among moral development, moral reasoning, and personality structure are reviewed in light of these findings, and an alternative conceptualization of the measure in terms of political and social attitudes is offered.     

Orthoimplication algebras

Orthologic is defined by weakening the axioms and rules of inference of the classical propositional calculus. The resulting Lindenbaum-Tarski quotient algebra is an orthoimplication algebra which generalizes the author's implication algebra. The associated order structure is a semi-orthomodular lattice. The theory of orthomodular lattices is obtained by adjoining a falsity symbol to the underlying orthologic or a least element to the orthoimplication algebra.Allatum est die 1 Julii 1975     

Cognitive and Behavioural Attention in Children with Low-Moderate and Heavy Doses of Prenatal Alcohol Exposure: a Systematic Review and Meta-analysis

Neuropsychology Review - Attention problems are thought to be a hallmark feature of prenatal alcohol exposure (PAE). Despite decades of research however, these findings have never been pooled to...     

Religion and the Quality of Life

Subjective and objective indicators of the quality of life (QOL) are used to test relationships with religious involvement, participation, and belief. Findings from other studies show religious involvement to be associated with longer life. The percent of religious adherents in a state is correlated with the harmony domain of the QOL and negatively with an indicator of stress. After reviewing relevant previous studies, I examine data from the 1972–1996 General Social Survey Cumulative File. It shows happiness to be associated with the frequency of attendance at religious services, with denominational preference, and with doctrinal preference. Happiness also is associated with certain religious-related beliefs: belief that the world is evil or good but not belief in immortality. In a discussion of these and other findings, hypotheses are suggested to explain and to further explore the effects of religion upon the QOL. Among the conclusions: our conception of the "good life" rests heavily upon Judeo-Christian ideals; religious organizations contribute to the integration of the community, hence enhancing the QOL; since frequency of attendance is imperfectly associated with the QOL, other influences are at work; the doctrine of the religion may attract persons of happy disposition; religion may explain a purpose in life that fosters well-being; and others. I suggest implications of the findings for programs of religious organizations.     

What policymakers need and must demand from research regarding the employment rate of persons with disabilities

Enabling persons with disabilities to prepare for and engage in gainful employment has become a priority concern in U.S. society. As a result, federal and state policymakers are adopting employment-related initiatives designed to enhance the employment rate of persons with disabilities. Policymakers need credible evidence in order to assess and reform these initiatives. This recognized need, however, begs the question of what constitutes 'credible evidence.' Of particular concern in the disability policy arena is the debate over the types of conclusion about employment rates that can and cannot be drawn from analyses of national survey data sets. This article connects standard research methodology concepts with the complexities of evaluating disability policy to help stakeholders appreciate the issues involved in this debate. This appreciation can help policymakers (1) recognize unwarranted cause-and-effect conclusions based solely on existing national survey data and (2) demand better data and stronger research designs to complement the potential over-reliance on correlational studies using problematic survey data to estimate policy impacts. To this end, the article concludes with a practical framework with a checklist for assessing the adequacy of research regarding the employment rate of persons with disabilities.     

Chronic Fatigue Syndrome: The Need for Subtypes

Chronic fatigue syndrome (CFS) is an important condition confronting patients, clinicians, and researchers. This article provides information concerning the need for appropriate diagnosis of CFS subtypes. We first review findings suggesting that CFS is best conceptualized as a separate diagnostic entity rather than as part of a unitary model of functional somatic distress. Next, research involving the case definitions of CFS is reviewed. Findings suggest that whether a broad or more conservative case definition is employed, and whether clinic or community samples are recruited, these decisions will have a major influence in the types of patients selected. Review of further findings suggests that subtyping individuals with CFS on sociodemographic, functional disability, viral, immune, neuroendocrine, neurology, autonomic, and genetic biomarkers can provide clarification for researchers and clinicians who encounter CFS characteristically confusing heterogeneous symptom profiles. Treatment studies that incorporate subtypes might be particularly helpful in better understanding the pathophysiology of CFS. This review suggests that there is a need for greater diagnostic clarity, and this might be accomplished by subgroups that integrate multiple variables including those in cognitive, emotional, and biological domains.