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.     

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.     

Optimal Inattention to the Stock Market With Information Costs and Transactions Costs

Information costs, which comprise costs of gathering and processing information about stock values and costs of deciding how to respond to this information, induce a consumer to remain inattentive to the stock market for finite intervals of time. Whether, and how much, a consumer transfers assets between accounts depends on the costs of undertaking such transactions. In general, optimal behavior by a consumer facing both information costs and transactions costs is state‐dependent, with the timing of observations and the timing and size of transactions depending on the state. Surprisingly, if the fixed component of the transactions cost is sufficiently small, then eventually, with probability 1, a time‐dependent rule emerges: the interval between observations is constant and on each observation date, the consumer converts enough assets to liquid assets to finance consumption until the next observation. If the fixed component of transactions costs is large, the optimal rule remains state‐dependent indefinitely.     

End-to-end process management: implications for theory and practice

The term ‘end-to-end’ process management is now commonplace in the language and practice of operations. Managers are encouraged to migrate from functional process management to end-to-end process management to realise a range of performance improvements. However, these improvements are often elusive; the specific challenges associated with such a migration are under-researched. This paper uses a cross-sector study to identify the challenges of end-to-end process management and to generate practical managerial guidance. Three areas are identified that demand particular managerial attention: the need to move beyond process mapping, the role of IT in process management and maintaining the process infrastructure as a strategic asset. More significantly, the findings highlight the need for greater conceptual clarity regarding the end-to-end concept itself. The existing literature suggests that scope is the primary differentiator of the end-to-end process – the requirement to manage an extended boundary from customer order through to customer fulfilment. However, this research suggests that the end-to-end concept is more complex, comprising of three core constructs with seven dimensions: scope (boundary conditions, sequence/flow and controls); scale (resources and input/output transformation) and complexity (interrelationships and orientation). End-to-end process management involves much more than an extended boundary. It requires a systemic perspective and clarity regarding controls and transforming resources.     

Developing a factor model of coal miners’ attributions on risk-taking at work

This paper details a survey of coal miners’ views on the bases for risk-taking. While literature exists on the subject of risk-taking in mines, comparatively few studies have sought to elicit the views of mine personnel themselves. An 83-item questionnaire, grounded upon insights from an earlier qualitative study, was developed and distributed to a sample of mine personnel (N=932). Results were analysed by means of principal components, factor analysis, an iterative refinement of the data set resulting in the development of a three-factor model that was considered to reflect potentially important dispositional influences on risk-taking amongst operational staff in mines. Derived constructs, identified as time pressure, management commitment and confidence in ability to control risk, were found to possess moderate to high levels of internal consistency (α statistic) and high face validity. Findings are discussed with reference to insights from both cognitive risk research and more recent work within the safety culture/climate framework.     

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.