CATHOLIC ETHICS AS SEEN FROM PADUA

During the summer of 2006, over four hundred Catholic ethicists from around the world gathered for four days in Padua, Italy. About sixty of the conference papers have become available in two edited collections, Catholic Theological Ethics in the World Church: The Plenary Papers from the First Cross‐cultural Conference on Catholic Theological Ethics, and Applied Ethics in a World Church: The Padua Conference. As the conference was marked by a distinctive and creative tension—between the diversity which characterized the nationalities and cultural identities of the participants, on the one hand, and the commonness of their religious heritage, on the other—these essays can tell us much about contemporary Catholic ethics in its response to global pluralism. The following develops four reflections. First, the conference papers pursue a style of scholarship that is at once critically creative and ecclesially rooted. Second, the conference raises new concerns about the importance that Christian formation must have in a pluralist world. Third, the participants affirm and defend the ultimate universality of moral goods while also arguing that these goods are expressed and embodied in unavoidably particular ways. Finally, the most important contribution that Catholic ethics can make to public conversations about issues of common concern is through its articulation and defense of key human values.     

Unnoticed,Untapped, and Underappreciated: Clients' Perceptions of their Public Defenders

The challenge of providing high-quality public defense services continues to be a concern at federal, state, and local levels. Some scholars have alluded to a potential solution in client-centered representation, but research in this area is sparse at best. Such a lack of understanding leaves in its place speculation, particularly as to the potential importance of client perceptions in shaping broader system legitimacy. To fill this gap and create an empirical platform for future research, an exploratory pilot study was launched with the Hamilton County, Ohio Public Defender's Office, which used mixed methodologies to assess client attitudes toward public defenders as a potential resource for aiding the improvement of indigent representation. Findings from this pilot study suggest that there are five factors a public defense attorney should address that may prove to be very important in obtaining client satisfaction and cooperation: engaging the client for input, listening to the client, examining the prosecutor's evidence, focusing on the client's case during meetings, and informing the client of potential consequences. Implications for practice and future research are discussed. Copyright © 2015 John Wiley & Sons, Ltd.     

Improving Delivery Behaviors During Exposure for Pediatric OCD: A Multiple Baseline Training Trial With Community Therapists

This study tested whether a new training tool, the Exposure Guide (EG), improved in-session therapist behaviors (i.e., indicators of quality) that have been associated with youth outcomes in prior clinical trials of exposure therapy. Six therapists at a community mental health agency (CMHA) provided exposure therapy for 8 youth with obsessive–compulsive disorder (OCD). Using a nonconcurrent multiple baseline design with random assignment to baseline lengths of 6 to 16 weeks, therapists received gold-standard exposure therapy training with weekly consultation (baseline phase) followed by addition of EG training and feedback (intervention phase). The primary outcome was therapist behavior during in-session exposures, observed weekly using a validated coding system. Therapist behavior was evaluated in relation to a priori benchmarks derived from clinical trials. Additional outcomes included training feasibility/acceptability, therapist response to case vignettes and beliefs about exposure, and independent evaluator-rated clinical outcomes. Three therapists reached behavior benchmarks only during the EG (intervention) phase. Two therapists met benchmarks during the baseline phase; one of these subsequently moved away from benchmarks but met them again after starting the EG phase. Across all therapists, the percentage of weeks meeting benchmarks was significantly higher during the EG phase (86.4%) vs. the baseline phase (53.2%). Youth participants experienced significant improvement in OCD symptoms and global illness severity from pre- to posttreatment. Results provide initial evidence that adding the EG to gold-standard training can change in-session therapist behaviors in a CMHA setting.     

The impacts of ignoring individual mobility across clusters in estimating a piecewise growth model

A three-level piecewise growth model (3L-PGM) can be used to break up nonlinear growth into multiple components, providing the opportunity to examine potential sources of variation in individual and contextual growth within different segments of the model. The conventional 3L-PGM assumes that the data are strictly hierarchical in nature, where measurement occasions (level 1) are nested within individuals (level 2) who are members of a single cluster (level 3). However, in longitudinal research, it is sometimes difficult for data structures to remain purely clustered during a study, such as when some students change classrooms or schools over time. One resulting data structure in this situation is known as a multiple membership structure, where some lower-level units are members of more than one higher-level unit. The new multiple membership PGM (MM-PGM) extends the 3L-PGM to handle multiple membership data structures frequently found in the social sciences. This study sought to examine the consequences of ignoring individual mobility across clusters when estimating a 3L-PGM in comparison to estimating a MM-PGM. MM-PGM estimates were less biased (especially in the cluster-level coefficient estimates), although we found substantial bias in cluster-level variance components across some conditions for both models.     

Stopping rules for multi-category computerized classification testing

Computerized classification testing (CCT) aims to classify persons into one of two or more possible categories to make decisions such as mastery/non-mastery or meet most/meet all/exceed. A defining feature of CCT is its stopping criterion: the test terminates when there is enough confidence to make a decision. There is abundant research on CCT with a single cut-off, and two common stopping criteria are the sequential probability ratio test (SPRT) statistic and the generalized likelihood ratio statistic (GLR). However, there is a relative scarcity of research extending the SPRT to the multi-hypothesis case for when there is more than one cut-off. In this paper, we propose a new multi-category GLR (mGLR) statistic as well as a stochastically curtailed version of the CCT with three or more categories. A simulation study was conducted to show that the mGLR statistic outperformed the existing stopping rules by generating shorter average test length without sacrificing classification accuracy. Results also revealed that the stochastically curtailed mGLR successfully increased test efficiency in certain testing conditions.