Decision‐Analytic Approach for Water Sustainability Definition: A Higher Education Case Study

The purpose of this paper is to describe the development of a multi‐criteria decision analysis approach that can be used to circumscribe the definition of sustainability within an organization or institution with multiple operational divisions. Although our overall definition of sustainability is a process, the George Washington University (GW) definition of water sustainability is articulated through construction of an objective‐value hierarchy representing GW's strategic objectives and articulation of strength of preference among the attributes in that hierarchy. This study used multi‐criteria decision analysis methods, including structured interviews with four individual stakeholders and swing weighting. Three findings are of note. First, our stakeholders' thinking about their objectives was greatly influenced by perceived constraints and mandatory obligations on institutional performance implied by contracts or tradition. Second, in considering the trade‐off weights obtained from the swing‐weighting portion of the value assessment, all stakeholders placed similar emphasis on each of the fundamental objectives. Third, because of the decentralized nature of the university, the process through which the value assessment will be achieved must be transparent and accepted by each of the stakeholders supporting sustainability decisions. This case study illustrates a decision‐analytic sustainability approach that may be applied to large‐scale infrastructure systems, stakeholder engagement and negotiation in sustainability investments or alternatives assessments. Although the commitment to reduce climate impacts has been widespread, there have been fewer publicly announced water initiatives at the university level. At the university level, GW is only one of a handful of universities with a cohesive, visible, water plan. In addition, we demonstrate an approach in which explicit structuring of fundamental sustainability objectives may increase transparency for sustainability definition construction. Copyright © 2014 John Wiley & Sons, Ltd.     

The Epistemic Regress Problem,the Problem of the Criterion,and the Value of Reasons

There are important similarities between the epistemic regress problem and the problem of the criterion. Each turns on plausible principles stating that epistemic reasons must be supported by epistemic reasons but that having reasons is impossible if that requires having endless regresses of reasons. These principles are incompatible with the possibility of reasons, so each problem is a paradox. Whether there can be an antiskeptical solution to these paradoxes depends upon the kinds of reasons that we need in order to attain our epistemic goals. This article explains the problems and considers the ways in which two different conceptions of human flourishing support the value of different kinds of reasons. One conception requires reasons that allow an easy solution to these paradoxes. The other—rational autonomy—requires reasons that depend upon endless regresses. So we cannot have the kinds of fully transparent reasons required for rational autonomy.     

The Influence of Person Traits on Lawyer Selection Among British Adults

The present study examined selection criteria for lawyers among British adults, which begins to overturn a dearth of studies examining this issue among legal professions. A total of 122 participants were asked to rate eight lawyers dichotomized along lawyer origin (Britain versus South Asia), gender (women versus men), and age (younger versus older). A mixed-design analysis of variance showed that there was a main effect of lawyer origin, with British lawyers preferred over the South Asian counterparts. There were also a number of significant interactions between lawyer variables, as well as participant gender and age. The effect sizes of these interactions were generally smaller (η_p ² = .07?.24) than the main effect lawyer origin (η_p ² = .54). Limitations and practical implications are discussed in conclusion.     

A Unified Framework for the Prioritization of Organ Transplant Patients: Analytic Hierarchy Process,Sensitivity and Multifactor Robustness Study

Fair and equitable allocation of donor organs in the USA is a daunting yet necessary task, which can mean the difference between life and death for patients on transplant waiting lists. This paper proposes a multi‐criterion decision‐making model using the analytic hierarchy process to allow for an allocation decision to be made on the basis of urgency, efficiency, benefit and equity. These four perspectives and objectives can be broken down into both quantitative and qualitative measures, which can be easily combined and weighted through group consensus. The proposed model overcomes the limitations of a single type of system, integrates the views of many organ allocation philosophies, improves the decision maker's ability to collaborate, helps justify the decision and reaches the optimal result. In addition, the proposed profile matrix allows decision makers to graphically trade off criteria against each other and to clearly articulate the decision rationale. Our computational study suggests that the proposed model not only satisfactorily serves the objectives of many constituents, but also remains noticeably robust under various criteria‐weight‐change scenarios. It improves stakeholder confidence in the organ allocation procedure, maximizes the usefulness of the organ and enhances welfare to society. Copyright © 2012 John Wiley & Sons, Ltd.     

Sketching the Contours of the Scholarship of Teaching and Learning in Theology and Religion

This article argues that there is an identifiable scholarship of teaching and learning in theology and religion that, though varied in its entry points and forms, exhibits standards of excellence recognizable in other forms of scholarship. Engaging in this scholarship enhances a professor's possession of practice and often reveals insights into student learning and the contours of a field that can advance both educational and disciplinary projects. Through conversation with a form of the scholarship of teaching and learning that emerged most clearly in work associated with the Carnegie Foundation for the Advancement of Teaching, we describe starting points and generative assumptions that have been employed in the discourse of the scholarship of teaching and learning in theology and religion as they have emerged in submissions to Teaching Theology and Religion over the past decade and a half and point to its benefits. See responses to this essay by Charles R. Foster , Stephen Brookfield , and Pat Hutchings published in this issue of the journal. Responses by Reid B. Locklin, Joanne Maguire Robinson, and Nadine S. Pence appear in next issue issue, 16:3 (2013).     

Prospective assessment of late-luteal phase dysphoric disorder

This investigation evaluated a method for the prospective assessment of the symptoms of premenstrual syndrome (PMS). The American Psychiatric Association has proposed a diagnostic category for PMS in the DSM-III-R entitled late-luteal phase dysphoric disorder (LLDD). The criteria for this disorder include prospective documentation of at least two symptomatic cycles. Two groups of women were studied, one group that met the DSM-III-R diagnostic criteria for LLDD and a comparison group that did not. Subjects recorded symptoms related to PMS for two menstrual cycles. A clinically significant worsening of symptoms was defined as a symptom increase during the premenstruum of greater than one standard deviation above normal. These effect sizes were then used to determine if the subject met the DSM-III-R criteria for prospective confirmation. Data analysis showed that although the LLDD group showed evidence for PMS in several symptom groups, only a minority (31%) met the requirement of prospective confirmation of significant PMS symptoms for the two cycles recorded. These results were discussed in terms of the need for prospective behavioral assessment of LLDD and the implications of these findings for past and future research.Portions of this paper were derived from the master's thesis of the first author.     

The simplicity of theories: Its degree and form

Almost all commentators acknowledge that among the grounds on which scientists perform theory-choices are criteria of simplicity. In general, simplicity is regarded either as only a logico-empirical quality of a theory, diagnostic of the theory's future predictive success, or as a purely aesthetic or otherwise extra-empirical property of it. This paper attempts to demonstrate that the simplicity-criteria applied in scientific practice include both a logicoempirical and a quasi-aesthetic criterion: to conflate these in an account of scientists' theory-choice is to court confusion.     

Bayesian item selection criteria for adaptive testing

Owen (1975) proposed an approximate empirical Bayes procedure for item selection in computerized adaptive testing (CAT). The procedure replaces the true posterior by a normal approximation with closed-form expressions for its first two moments. This approximation was necessary to minimize the computational complexity involved in a fully Bayesian approach but is no longer necessary given the computational power currently available for adaptive testing. This paper suggests several item selection criteria for adaptive testing which are all based on the use of the true posterior. Some of the statistical properties of the ability estimator produced by these criteria are discussed and empirically characterized.Portions of this paper were presented at the 60th annual meeting of the Psychometric Society, Minneapolis, Minnesota, June, 1995. The author is indebted to Wim M. M. Tielen for his computational support.     

Material handling device selection in cellular manufacturing

This paper presents a new multi‐criteria decision model for the material handling device (MHD) selection problem in cellular manufacturing systems. Given a set of manufacturing cells based on several automatic work‐centres, the technique makes it possible to select a particular MHD for each cell in an integrated way, with different constraints being taken into consideration. The approach is based on two different multi‐attribute analyses executed with analytic hierarchy process (AHP) methodology, and a final integer linear programming including important limitations faced by the designer when making MHD investment decisions. An example using real data is provided to illustrate this methodology. Copyright © 2002 John Wiley & Sons, Ltd.