The Development of a Reliable Change Index and Cutoff for the Revised Dyadic Adjustment Scale

The Revised Dyadic Adjustment Scale (RDAS; Busby, Crane, Larson, & Christensen, 1995) is a measure of couple relationship adjustment that is often used to differentiate between distressed and non‐distressed couples. While the measure currently allows for a determination of whether group mean scores change significantly across administrations, it lacks the ability to determine whether an individual's change in dyadic adjustment is clinically significant. This study addresses this limitation by establishing a cutoff of 47.31 and reliable change index of 11.58 for the RDAS by pooling data across multiple community and clinical samples. An individual whose score on the RDAS moves across the cutoff changes by 12 or more points can be classified as experiencing clinically significant change.     

Considering lesbian identity from a social-psychological perspective: two different models of "being a lesbian"

One long-standing project within lesbian studies has been to develop a satisfactory working definition of "lesbian." This article proposes two new models of a definition using principles of social psychology. Each model (a) utilizes the premise that gender lacks a categorical essence and (b) separates behavioral adherence to cultural stereotypes of femininity and masculinity from one's gender self-categorization. From these premises, I generate and critique two internally coherent models of lesbian identity that are inclusive (to different degrees) of various gender identities. For each model, the potential inclusion of trans men, trans women, genderqueers, and lesbian-identified cisgender men is evaluated. The explanatory power of these models is twofold. One, the models can serve as theoretical perspectives for scholars who study the intersection of gender and sexual identity. Two, the models can also characterize the everyday experience of people who have tacit working definitions of lesbian identity.     

THE HARMS SHOE COMPANY: DEVELOPMENT OF A COMPUTER MODEL FOR THE CLASSROOM

This paper describes a case that examines five key topics in production and operations management [1]—forecasting, inventory control, transportation planning, aggregate planning, and the disaggregation of the aggregate plan—in an integrated, realistic manner for upper-level undergraduate business majors [3]. The case structure stresses the linkage of these interrelated subjects and supplements the regular classroom presentations dealing with them. The case relies on computer calculations at each stage to provide the information input for calculations at the next stage. It is a static model with a twelve-month planning horizon. Students complete several exercises and assume several roles as the case unfolds. They act on their own in filling some roles and as members of teams in performing others. They do not compete with each other, as the purpose of the case is to help them develop an appreciation of the factors that persons performing the role must consider.     

Preparing Social Work Doctoral Students for Teaching

The results of a national survey of 51 social work doctoral program directors indicate that, although the majority of doctoral programs include preparation for teaching as a program objective, they offer limited formal course work and few opportunities for supervised teaching experiences. The authors discuss the results of this survey and make recommendations for better preparing social work doctoral students for their roles as teachers.     

Layered supervisory control architecture for reconfigurable automation

The development of control systems and supporting software remains one of the greatest obstacles to the widespread implementation of highly adaptive reconfigurable automation technology. This paper will present the structure of a modular automation control system designed to support rapid reconfiguration and redeployment of automation components. The paper will first present the concept of a layered system architecture and the use of modular automation components to support the construction of a wide variety of automated systems. This layered system architecture is then applied to the proposed modular supervisory control system responsible for configuring and driving automated production resources. Each of the control components comprising this modular control system will be presented.     

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.     

A Two-Question Method for Assessing Gender Categories in the Social and Medical Sciences

Three studies (N = 990) assessed the statistical reliability of two methods of determining gender identity that can capture transgender spectrum identities (i.e., current gender identities different from birth-assigned gender categories). Study 1 evaluated a single question with four response options (female, male, transgender, other) on university students. The missing data rate was higher than the valid response rates for transgender and other options using this method. Study 2 evaluated a method of asking two separate questions (i.e., one for current identity and another for birth-assigned category), with response options specific to each. Results showed no missing data and two times the transgender spectrum response rate compared to Study 1. Study 3 showed that the two-question method also worked in community samples, producing near-zero missing data. The two-question method also identified cisgender identities (same birth-assigned and current gender identity), making it a dynamic and desirable measurement tool for the social and medical sciences.     

Deconstructing Reparative Therapy: An Examination of the Processes Involved When Attempting to Change Sexual Orientation

Reparative therapy is a process through which reparative therapists believe they can and should make heterosexuals out of homosexuals. At the present time, most professional regulating bodies have banned the use of reparative therapy. In addition, reparative therapy is not supported by any reliable quantitative or qualitative studies. In spite of the lack of empirical substantiation, reparative therapists continue to practice, arguing that prior quantitative studies, as well as client self-determination, validate their methods. With a knowledge base originally grounded in psychoanalytic theory, current applications of reparative therapy cross not only scientific and psychological, but also social, political, and religious boundaries. The current trend promoting reparative therapy occurs through the conglomeration of the social, political, and religious dimensions of organizations that champion the cause of creating former homosexuals. Persons who identify as former homosexuals espouse the saving graces of a mixture of reparative therapy with various forms of religious counseling, on occasion offered by faith-based providers. The purpose of this paper is shed new light on the process and theory behind reparative therapy. This paper will attempt to provide social work clinicians with the knowledge necessary to understand and formulate an informed opinion about the use of reparative therapy for homosexuality.     

Re-Focusing the Business School Agenda

This commentary agrees with Starkey and Madan (2001) that business schools must incorporate Mode 2 production methods if they are to be significant knowledge producers in the future. We reinforce their specific suggestions about how that might be accomplished by focusing on learning from early Mode 2 attempts, promoting practitioner research, seeking business co-sponsorship and sheltering some Mode 1 practices and values, including longitudinal reflective research and information storage. We also argue, however, that business schools must go beyond such tasks, difficult and expensive though they are. The way business and business schools currently operate, and are being encouraged to operate, does not address the broader issues of human relevance that concern James March (1998) and others. The gap here is a risk for business and society, and appears to require new, Mode 3, methods of knowledge production.