The Micro and Macro Dimensions of Gambling in the United States

A national probability sample of 1736 respondents and a Nevada State probability sample of 296 respondents were surveyed during the summer of 1975 to determine the extent of gambling activity in the United States, to estimate the amount of government revenue that could result from various changes in the gambling laws, and to predict the social consequences of these changes. While there were large variations among regions and demographic groups, a majority of all adult Americans gamble. Wagers on commercial games amounted to $22.4 billion in 1974 of which $17 billion was wagered legally and approximately $5 billion illegally.     

Multiple assessors of child welfare youths' mental‐health functioning: comparing perceptions of adolescents,caregivers and teachers

For youth involved with the child welfare system, accurate assessment of mental‐health functioning is a critical factor in case planning. To assess correspondence among multiple reporters of child welfare youths' mental‐health difficulties, this study, using data drawn from the National Survey of Child and Adolescent Well‐being dataset, examined the caregiver, teacher and youth (aged 11–16 years) reports on the Child Behavior Checklist (n = 464). Perceptions about symptomatology on a variety of externalizing and internalizing behaviour problem scales were measured with a correlation analysis. Subsequently, logistic regression models were created, which explored how each reporter category matched a fourth reporter category: the child welfare investigation caseworkers' identification of youths' mental‐health needs. Results show that in several models, the odds of matching caseworkers' determination of youths' mental‐health needs significantly increased as youths' perceptions of psychopathology increased. A similar pattern was found for caregivers' perceptions in some of the models, across both internalizing and externalizing domains. Implications for child welfare practice and research with child welfare youth are discussed.     

Process over outcome: How perceptions of procedural fairness influence conservative support for redistributive taxes

Though majorities of Americans express support for redistributive tax policies as a cure for income inequality in the United States, this general support tends to dissipate when the public evaluates their support for specific proposals. The dominant explanations emphasize elite behavior and the disconnect between American values and political representation. An alternative view is that this counter-intuitive finding is entirely consistent with individual values. Some people place higher priority on policy processes than policy outcomes. This paper demonstrates that conservatives think about redistributive tax policy differently than liberals. Conservative support (opposition) for redistributive taxes is based on evaluations of the fairness of processes of government that lead to economic inequality. When conservatives believe that these processes are not fair, they are very supportive of wealth redistribution as a cure for economic inequality, whereas liberal support for wealth redistribution is more outcome-dependent.     

Implicit Behavioral Mimicry: Investigating the Impact of Group Membership

Two experiments investigated the impact of group membership on non-conscious behavioral mimicry. Female participants viewed videotapes of female confederates who rubbed their faces whilst describing a picture. The extent to which the participant mimicked this face rubbing behavior was assessed from video footage taken using a hidden video-camera. Experiment 1 showed greater mimicry of a member of an in-group than of a member of an out-group. Experiment 2 showed both explicit and implicit liking of a target group to predict the extent of mimicry of a member of that group. There was a positive relationship between implicit liking and mimicry but a negative relationship between explicit liking and mimicry. Results are discussed in terms of processes underlying mimicry.

Suicide prevention and community-level indictors

This study sought to develop a set of easily obtainable, relevant measures of a community's condition that could be used to guide its suicide prevention efforts. Existing data were gathered across 159 Georgia counties for nine potential social indicators (rates of net migration, divorce, unemployment, violent crimes reported, driving under the influence of alcohol or drugs [DUI] crashes, high school dropouts, Temporary Assistance for Needy Families [TANF], percentage of population aged 65 or older, and percentage of population who are white males) that had been chosen by the communities. Data on the social indicators from 1995 through 1999 were averaged and analyzed to determine their correlation with aggregated 5-year county suicide rates. Results of multivariate modeling procedures showed number of DUI crashes and percentage of the population aged 65 or older to be significant correlates of the suicide rate, controlling for other potential indicators. These preliminary data may provide a useful model of a county's 5-year suicide rate among counties reporting 20 or more suicides. Research with additional indicators and in other states will help determine the generalizability of these findings to other communities.