Empathy, intimacy, loneliness and locus of control in child sex offenders: a comparison between familial and non-familial child sexual offenders

There has been relatively little previous research examining differences between subgroups of child sex offenders. In this study, we compared a group of familial and non-familial child sex offenders attending a community based treatment program on a number of relationship dimensions thought to be important in explaining offending. No statistically significant differences were found between these groups on measures of general empathy, intimacy and loneliness, although non-familial offenders were found to have higher levels of cognitive empathy and a more internal locus of control than familial offenders. These findings are discussed in terms of their possible implications for service delivery.     

Quality of Life Indexes for National Policy: Review and Agenda for Research

A number of governments and public policy institutes have developed Quality of Life Indexes – statistics that attempt to measure the quality of life for entire states or regions. We develop 14 criteria for determining the validity and usefulness of such QOL indexes to public policy. We then review 22 of the most-used QOL indexes from around the world. We conclude that many of the indexes are successful in that they are reliable, have established time series measures, and can be disaggregated to study subpopulations. However, many fall short in four areas: (1) indexes vary greatly in their coverage and definitions of domains of QOL, (2) none of the indexes distinguish among the concepts of input, throughput, and output that are used by public policy analysts, (3) they fail to show how QOL outputs are sensitive to public policy inputs, and (4) none have examined convergent validity against each other. We conclude that many of these indexes are potentially very useful for public policy and recommend research to further improve them.     

A scope-of-practice survey leading to the development of standards of practice for health promotion in higher education

To review and analyze the scope of practice of health promotion services and draft standards of quality indicators for higher education communities, the American College Health Association (ACHA) initiated a Task Force on Health Promotion in Higher Education in May 1996. Members of the task force developed a National Survey on Health Promotion and Education in Institutions of Higher Education and mailed the survey to a stratified random sample of 600 ACHA member institutions, as well as to 97 key "best-practice health promotion leaders". The larger sample produced a 75.3% response rate, and 90.7% of the key informants returned usable surveys. The authors report selected findings from both groups that chronicle the state of health promotion practice in higher education at the close of the 20th century. The task force used the findings to establish a data-driven framework for the Year 2001 Standards of Practice for Health Promotion in Higher Education.     

The Gambling Self-Efficacy Questionnaire: An Initial Psychometric Evaluation

Instruments to assess individuals' self-efficacy for the control of addictive behaviors have been useful for monitoring behavior change, predicting maintenance of treatment gains, and identifying potential relapse situations. The Gambling Self-Efficacy Questionnaire (GSEQ) was developed to assess perceived self-efficacy to control gambling behavior. A demographically diverse sample of 309 adult gamblers completed an initial set of 42 items, of which 16 were selected to form the final version of the GSEQ. The GSEQ showed high internal consistency ( = .96) and good test-retest reliability (r = .86). A factor analysis provided some support for a unitary factor structure. As expected, GSEQ scores were negatively correlated with reports of problematic gambling behavior. Participants experiencing problems related to their gambling behavior scored significantly lower on the GSEQ than those who were not experiencing gambling problems. This psychometric examination of the GSEQ supported its potential utility for treatment planning and outcome evaluation with problem gamblers.     

Optimizing multi-stage production with constant lot size and varying numbers of batches

The model presented in this paper assumes that a uniform lot size is produced through a series of manufacturing stages, with a single set-up and without interruption at each stage. Transportation of partial lots, called batches, is allowed between stages after the whole batch is completed. The batch sizes must be equal at any particular stage, but the optimal number of equal-sized batches may differ across stages. Of course, the set-up costs, the inventory-holding costs and the transportation costs influence both the optimal batch-sizes at the various stages and the uniform lot size. An optimization method for this deterministic model is developed and is illustrated by an example.     

Physician strives to create lean,clean health care machine. Studies of manufacturing processes may one day help make your practice more efficient

Elisabeth Hager, MD, MMM, CPE, is teaming up with scientists and industrialists to teach physicians how to apply principles of lean, total-quality manufacturing to their practices. She believes innovation and efficiencies can help doctors resurrect their profession's image and their control over it--and perhaps even reinvent American health care.     

Evaluation of the Food and Agriculture Sector Criticality Assessment Tool (FASCAT) and the Collected Data

To protect and secure food resources for the United States, it is crucial to have a method to compare food systems’ criticality. In 2007, the U.S. government funded development of the Food and Agriculture Sector Criticality Assessment Tool (FASCAT) to determine which food and agriculture systems were most critical to the nation. FASCAT was developed in a collaborative process involving government officials and food industry subject matter experts (SMEs). After development, data were collected using FASCAT to quantify threats, vulnerabilities, consequences, and the impacts on the United States from failure of evaluated food and agriculture systems. To examine FASCAT's utility, linear regression models were used to determine: (1) which groups of questions posed in FASCAT were better predictors of cumulative criticality scores; (2) whether the items included in FASCAT's criticality method or the smaller subset of FASCAT items included in DHS's risk analysis method predicted similar criticality scores. Akaike's information criterion was used to determine which regression models best described criticality, and a mixed linear model was used to shrink estimates of criticality for individual food and agriculture systems. The results indicated that: (1) some of the questions used in FASCAT strongly predicted food or agriculture system criticality; (2) the FASCAT criticality formula was a stronger predictor of criticality compared to the DHS risk formula; (3) the cumulative criticality formula predicted criticality more strongly than weighted criticality formula; and (4) the mixed linear regression model did not change the rank‐order of food and agriculture system criticality to a large degree.     

Entry and Exit in OTC Derivatives Markets

We develop a parsimonious model to study the equilibrium and socially optimal decisions of banks to enter, trade in, and possibly exit, an OTC market. Although we endow all banks with the same trading technology, banks' optimal entry and trading decisions endogenously lead to a realistic market structure composed of dealers and customers with distinct trading patterns. We decompose banks' entry incentives into incentives to hedge risk and incentives to make intermediation profits. We show that dealer banks enter more than is socially optimal. In the face of large negative shocks, they may also exit more than is socially optimal when markets are not perfectly resilient.