Toward the development of an adolescent gambling problem severity scale

The development and initial psychometric properties of an adolescent gambling problem severity measure are described. The scale, based on a revision of the South Oaks Gambling Screen (Lesieur & Blume, 1987), was administered to 1,101 older (ages 15 to 18) Minnesota adolescents as part of a state-wide gambling survey. Study results indicated that the scale had moderate internal consistency reliability and was significantly related to alternate measures of problem severity for male subjects. Because the rate and severity of gambling among females was very low, the psychometric adequacy of the scale for females is not known at this time. The implications of study findings to the conceptual understanding of adolescent gambling problem severity as well as study limitations and future research needs, are discussed.Support for the study was provided by the Minnesota Department of Human Services and the Center for Addiction Studies, University of Minnesota, Duluth. The authors gratefully acknowledge the assistance from Robert Blum, Linda Harris, Durand Jacobs, J. Laundergan, Alan Mathiason, Brenda Miller, James Schaefer, school officials from the participating high schools, and interviewers who assisted with the telephone survey.     

Analysis of California propositions: An experiment in the empirical revelation of shared mental models

This paper uses factor analysis to analyze Californians’ voting on 12 propositions considered during the 2008 general election. The result is to create quantitative representations of shared mental models. After generating two county-level shared mental model indices, the indices are further examined to explain their variation across counties and to evaluated their performance as substitutes for previous presidential voting as an independent variable in a presidential voting model.     

Urge to Gamble in Problem Gamblers Exposed to a Casino Environment

Cue-reactivity has received increased attention in addiction research, though not for gambling in particular. We examined cue reactivity in 18 problem gamblers by accompanying them to a gaming casino and measuring their subjective urge to gamble over a 1-h period. Half of the sample was additionally exposed to a gambling-specific negative mood induction (NMI) manipulation via guided imagery. Overall, about two-thirds of the sample reported moderate to high-gambling urges during the casino exposure. Additionally, the NMI reduced cue-reactivity. Finally, gambling urges in both groups decreased over the course of the exposure sessions. These findings suggest that a majority of problem gamblers experience the urge to gamble when exposed to gambling cues and that the intensity of these urges decrease with time, especially in the presence of a gambling-relevant NMI. Cue exposure should be studied further as a potential tool in the treatment of problem gambling.     

A NEW CLASS OF MODELS FOR THE DISCRIMINANT PROBLEM

Discriminant analysis is relevant to business decision making in a variety of contexts, such as when one decides to make or buy a specified component, fund a venture project, or hire a particular person. Potential applications in artificial intelligence, particularly in the area of pattern recognition, have further underscored the importance of the field. A recent innovation in discriminant analysis is provided by special linear programming (LP) models, which offer attractive alternatives to classical statistical approaches. The scope of application in which discriminant analysis can be advantageously employed is broadened by the flexibility to tailor parameters in the LP approaches to reflect diverse goals and by the power to explore the sensitivity of these parameters. In spite of the promise of the LP formulations, however, limitations to their effectiveness have been uncovered in certain settings. A recent advance involving a normalization construct removes some of the limitations but entails solving the LP model twice (to allow for different signs of a normalization constant) and does not yield equivalent solutions for different rotations of the problem data. This paper introduces a new model and a new class of normalizations that remedy both remaining limitations, making it possible to take advantage of the modeling capabilities of the LP formulations without the attendant shortcomings encountered by earlier investigations. Our development shows by empirical testing and illustrative analysis that the quality of solutions from LP discriminant approaches is more favorable (relative to the classical model) than previously supposed.     

Fetal movements: What are we telling women?

Problem

Information that women receive about the importance of monitoring fetal movements and what to do if there are changes is inconsistent and may not be evidence based.

Patronizing Speech to Older Adults

We measured the use of patronizing speech among young adults who were instructed to provide directions (via an internet connection) to a newcomer to campus described as 21 or 65?years old. As predicted, the acoustic properties used with older adults were moderated by the speakers?? history with older unrelated adults (no comparable effects were found for speakers?? history with grandparents). Participants with relatively low contact with unrelated older adults were more likely than those with high contact to be judged as sounding ??patronizing?? and to display acoustical properties associated with patronization (high vocal intensity, high pitch) with older newcomers. However, participants showed a shared tendency to speak more slowly to older than young adults. Findings inform our understanding of the circumstances under which ageist speech is amplified or attenuated.     

Self-Reported Personal Well-Being of Youth Accessing Intensive Mental Health Treatment

Normative samples have been shown to rate their personal wellbeing (PWB) as positively high and high PWB is associated with many enduring benefits. Cummins (J Happiness Stud 10(6):1–17, 2009) has suggested that PWB has an equilibrium that is set at a rather high positive state and maintained through psychological mechanisms he termed homeostatic protected mood (HPM). Investigators who have explored PWB and mental health disorders have often focused on schizophrenia in adult populations, with varied results, and scant attention has been paid to clinical samples of youth with emotional and/or behavioral disorders. The purpose for this report was to explore the level of PWB reported by a subsample of youth who accessed residential treatment (n = 30) and intensive home based treatment (n = 33) at 12–18 months post-discharge, and explore whether clinical variables could predict PWB. Many youth reported high PWB despite experiencing continued challenges in symptoms and psychosocial functioning. Demographic and clinical characteristics did not predict participants’ PWB scores, lending support for the HPM theory with this sample of youth with emotional and behavioral disorder.     

Applications and Implementation

We propose an alternative solution to the discriminant problem, one that requires little more than a minimum familiarity with linear programming. The approach shows promise for eliminating the complexities of conventional statistical approaches without sacrificing the essential power of existing methods.     

EVALUATING ALTERNATIVE LINEAR PROGRAMMING MODELS TO SOLVE THE TWO-GROUP DISCRIMINANT PROBLEM

The two-group discriminant problem has applications in many areas, for example, differentiating between good credit risks and poor ones, between promising new firms and those likely to fail, or between patients with strong prospects for recovery and those highly at risk. To expand our tools for dealing with such problems, we propose a class of nonpara-metric discriminant procedures based on linear programming (LP). Although these procedures have attracted considerable attention recently, only a limited number of computational studies have examined the relative merits of alternative formulations. In this paper we provide a detailed study of three contrasting formulations for the two-group problem. The experimental design provides a variety of test conditions involving both normal and nonnormal populations. Our results establish the LP model which seeks to minimize the sum of deviations beyond the two-group boundary as a promising alternative to more conventional linear discriminant techniques.