Pivotal partings: Forced termination with a sexually abused boy

The termination phase of therapy is an integral part of the treatment process engendering its own unique set of dynamics. However, the potential eruption of new material dislodged by the trauma of the impending loss may in some cases require a reassessment of discharge goals and consequent alteration of treatment modality. The likelihood of new material surfacing at this critical juncture is perhaps highest among the caseloads of therapist trainees, wherein the termination date is forced by the time-limited nature of the learning contract. In the following article, supervisor and trainee detail the process of therapeutic shift from a dynamic to a crisis-oriented modality in the case of a young boy whose central trauma emerged during termination.     

Confidence intervals,significance values,maximum likelihood estimates,etc. sharpened into Occam’s razors

Abstract

Confidence sets, p values, maximum likelihood estimates, and other results of non-Bayesian statistical methods may be adjusted to favor sampling distributions that are simple compared to others in the parametric family. The adjustments are derived from a prior likelihood function previously used to adjust posterior distributions.     

Implementation issues for consumer-directed programs: comparing views of policy experts, consumers, and representatives

An increasing number of aging community providers and consumers support consumer-direction (CD) in long-term care services. In regard to devolution, consumer-direction goes beyond the usual approach of shifting responsibilities from the federal government to state governments to bring programs "closer to the people." Consumer-direction goes even further by placing resources directly in the hands of consumers. Yet, many questions remain unanswered regarding how to implement CD personal assistance services in general, and especially for older persons. This article describes the importance of examining views from multiple key stakeholders involved in implementing CD programs. We report on three background studies that have informed the Cash and Counseling Demonstration and Evaluation (CCDE) design and implementation-policy expert interviews as well as surveys and focus groups with consumers and representatives. As a fourth data source, we drew upon experiences in designing the CCDE and initial results from the first year of implementation. Each of the three studies on its own provided essential information for planning the CCDE. However, when we examined the studies together, and added CCDE design and implementation experiences, views expressed by the different stakeholders formed a type of multi-perspective "dialogue" that expanded our knowledge about implementing CD services. We hope this increased knowledge will help expand the availability of such services for consumers of any age who want to direct their own care.     

Prozessverbesserung mit Reifegradmodellen

Since the Software Engineering Institute has published the Capability Maturity Model in 1991, maturity models evolved into a commonly used instrument for assessing the state of a specific class of objects and for identifying improvement measures. As process improvement is a core task of business process management and takes top positions on CIO agendas, maturity models are prospering in this domain as well. However, it remains unclear which maturity levels should be aspired for distinct processes or process groups. Numerous companies strive for increasing or even maximizing maturity levels. Some maturity model specifications contain oppositional advice, but lack concrete recommendations. Even academia provides no answers. Against this background, we propose a mathematical optimization model that builds on insights from value-based management in order to analyze general economic relationships of process improvement with maturity models. The guiding effects of these relationships are illustrated using the example of ??CMMI for Services??. We conclude by discussing limitations and by pointing out theoretical as well as managerial implications.     

Der Personalverantwortliche als strategischer Partner

Since Ulrich (Human resource champions: the next agenda for adding value and delivering results, Boston, Harvard Business School Press, 1997) shaped the strategic role of HR managers, his concept of an HR business partner has been controversially discussed by researchers and practitioners. Explanations about when and how HR managers act as strategic business partners have found limited attention in the literature. Based on the theory of reasoned action developed by Ajzen und Fishbein (Understanding attitudes and predicting social behavior, Englewood Cliffs, Prentice-Hall, 1980; J Pers Soc Psychol 27(1):41?C57, 1973), we hypothesize a positive relation between personal attitudes as well as subjective norm and the behaviour of HR managers to act as a strategic business partner. Results of the German Cranet survey in 2009 show that expected positive consequences influence the personal attitude, whereas the acceptance of the human resources as well as the existence of an HR strategy within the organisation is positively related with subjective norm. Hence, both attitude and subjective norm positively influence the behaviour of HR managers to act as a strategic business partner.     

Risk Perception and Information Processing: The Development and Validation of a Questionnaire to Assess Self‐Reported Information Processing

The role of information processing in understanding people's responses to risk information has recently received substantial attention. One limitation of this research concerns the unavailability of a validated questionnaire of information processing. This article presents two studies in which we describe the development and validation of the Information‐Processing Questionnaire to meet that need. Study 1 describes the development and initial validation of the questionnaire. Participants were randomized to either a systematic processing or a heuristic processing condition after which they completed a manipulation check and the initial 15‐item questionnaire and again two weeks later. The questionnaire was subjected to factor reliability and validity analyses on both measurement times for purposes of cross‐validation of the results. A two‐factor solution was observed representing a systematic processing and a heuristic processing subscale. The resulting scale showed good reliability and validity, with the systematic condition scoring significantly higher on the systematic subscale and the heuristic processing condition significantly higher on the heuristic subscale. Study 2 sought to further validate the questionnaire in a field study. Results of the second study corresponded with those of Study 1 and provided further evidence of the validity of the Information‐Processing Questionnaire. The availability of this information‐processing scale will be a valuable asset for future research and may provide researchers with new research opportunities.     

Multiobjective Prioritization Methodology and Decision Support System for Evaluating Inventory Enhancement Strategies for Disrupted Interdependent Sectors

Disruptions in the production of commodities and services resulting from disasters influence the vital functions of infrastructure and economic sectors within a region. The interdependencies inherent among these sectors trigger the faster propagation of disaster consequences that are often associated with a wider range of inoperability and amplified losses. This article evaluates the impact of inventory‐enhanced policies for disrupted interdependent sectors to improve the disaster preparedness capability of dynamic inoperability input‐output models (DIIM). In this article, we develop the dynamic cross‐prioritization plot (DCPP)—a prioritization methodology capable of identifying and dynamically updating the critical sectors based on preference assignments to different objectives. The DCPP integrates the risk assessment metrics (e.g., economic loss and inoperability), which are independently analyzed in the DIIM. We develop a computer‐based DCPP tool to determine the priority for inventory enhancement with user preference and resource availability as new dimensions. A baseline inventory case for the state of Virginia revealed a high concentration of (i) manufacturing sectors under the inoperability objective and (ii) service sectors under the economic loss objective. Simulation of enhanced inventory policies for selected critical manufacturing sectors has reduced the recovery period by approximately four days and the expected total economic loss by $33 million. Although the article focuses on enhancing inventory levels in manufacturing sectors, complementary analysis is recommended to manage the resilience of the service sectors. The flexibility of the proposed DCPP as a decision support tool can also be extended to accommodate analysis in other regions and disaster scenarios.