THE DEVELOPMENT OF A FORGIVENESS SCALE

This paper reports on the development, validity, and reliability of a self-report instrument designed to assess a respondent's perspective of pain resulting from relational violations and work toward relational forgiveness based on framework proposed by Hargrave (1994a). Presented here is the five-stage procedure used in the development of the Interpersonal Relationship Resolution Scale. Construct validity and reliability were determined from an initial sample of 164 subjects. Concurrent validity of the scal was supported by another sample of 35 respondents who took the Interpersonal Relationship Resolution Scal, the Personal Authority in the Family System Questonnaire, the Relational Ethics Scale, the Fundamental Interpersonal Relations Orientation-Behavior scale, and the Burns Depression Checklist. Finally, a predictive validity study of the scale was performed with a clinical and nonclinical sample of 98 volunteers. Data are presented that support the validity and reliability of the instrument, as will as the final version of the scale.     

APPROPRIABLE RENTS FROM YELLOWSTONE PARK: A CASE OF INCOMPLETE CONTRACTING

The history of Yellowstone Park is best understood in the context of the theory of the firm as developed by Armen Alchian. In the late nineteenth century, the Northern Pacific Railroad recognized the potential amenity rents from Yellowstone and captured them by vertically integrating its monopoly on transportation to the region with the supply of tourist facilities in the park. This gave the railroad de facto ownership of the park that lasted until automobiles were allowed to enter in 1915. Thereafter the tragedy of the commons ensued and rents were dissipated instead of maximized.     

An Unfinished Reflexive Journey: Social Work Students' Reflection on their Placement Experiences

The fieldwork placement is recognized as one of the major componentsof social work education and a major determinant of its quality.A key aspect of the learning process in the fieldwork placementis the exposition of practice encounters to the students’critical reflection. Given the importance of the process of‘reflection’ or ‘reflective learning’,a qualitative study based on the reflective logs of social workstudents was conducted to explore the meaning of social workfield education and the learning experiences of social workstudents during their placement. The study findings revealedthat disturbing events experienced by students in their fieldworkwere a catalyst to their reflective process. Meanwhile, theirundue concern with knowledge and skills application within acircumscribed knowledge frame suggests the dominant influenceof scientism and competence-based practice in social work, inwhich learning outcomes and instrumental and technical reasoningare highly emphasized. Discovery of ‘self’ was alsothe major premise in the students’ reflection logs, inwhich a majority of them took their prevailing self-identityas a constant state to be verified in interaction with othersin the fieldwork placement. Reflexivity is manifested in askingfundamental questions about assumptions generated by formaland practice theories; it addresses the multiple interrelationsbetween power and knowledge, and acknowledges the inclusionof self in the process of knowledge creation in social workpractice. Its realization in social work education requiresthe social work educators’ reflexive examination of thedynamics that influence the construction of curriculum, whichin turn construct our prospective social workers.     

Reflection on action: The process of helping social work students to develop their use of theory in practice

Over the years, college and practice-based social work teachers have been expected to help social work students to relate or integrate theory and practice, to transfer knowledge and/or to be a reflective practitioner. This paper first seeks to unpick and clarify what integrating theory and practice actually means and then goes on to suggest a model for exploring the use of theory in practice which a practice teacher could use with students in supervision.     

A Convolution Estimator for the Density of Nonlinear Regression Observations

Abstract. The problem of estimating an unknown density function has been widely studied. In this article, we present a convolution estimator for the density of the responses in a nonlinear heterogenous regression model. The rate of convergence for the mean square error of the convolution estimator is of order n ^?1 under certain regularity conditions. This is faster than the rate for the kernel density method. We derive explicit expressions for the asymptotic variance and the bias of the new estimator, and further a data‐driven bandwidth selector is proposed. We conduct simulation experiments to check the finite sample properties, and the convolution estimator performs substantially better than the kernel density estimator for well‐behaved noise densities.     

Back to basics: Re-examination of Demand-Control Theory of occupational stress

The Demand-Control model of occupational stress posits an interaction between job demands and job control predicting psychological strain, but previous research has found such an interaction only rarely or inconsistently. Such research, however, has often failed to measure either demands or strain faithfully to the model's constructs, or has simply failed to test for a statistical interaction. The present study corrected these shortcomings by going back to basics. Using a sample of 115 employees in a manufacturing company, it operationalized the variables more consistently with their original conceptualizations. However, when the hypothesized Demand-Control interaction was then tested, it still failed. Outcomes other than psychological strain (e.g. job dissatisfaction) were related negatively rather than positively to demands. This highlights the difference between psychological strain and dissatisfaction and casts doubt on models positing dissatisfaction as an intervening variable between stressors and strains.     

IT security planning under uncertainty for high-impact events

While many IT security incidents result in relatively minor operational disruptions or minimal recovery costs, occasionally high-impact security breaches can have catastrophic effects on the firm. Unfortunately, measuring security risk and planning for countermeasures or mitigation is a difficult task. Past research has suggested risk metrics which may be beneficial in understanding and planning for security incidents, but most of these metrics are aimed at identifying expected overall loss and do not directly address the identification of, or planning for, sparse events which might result in high-impact loss. The use of an upper percentile value or some other worst-case measure has been widely discussed in the literature as a means of stochastic optimization, but has not been applied to this decision domain. A key requirement in security planning for any threat scenario, expected or otherwise, is the ability to choose countermeasures optimally with regard to tradeoffs between countermeasure cost and remaining risk. Most of the planning models in the literature are qualitative, and none that we are aware of allow for the optimal determination of these tradeoffs. Therefore, we develop a model for optimally choosing countermeasures to block or mitigate security attacks in the presence of a given threat level profile. We utilize this model to examine scenarios under both expected threat levels and worst-case levels, and develop budget-dependent risk curves. These curves demonstrate the tradeoffs which occur if decision makers divert budgets away from planning for ordinary risk in an effort to mitigate the effects of potential high-impact outcomes.