Short‐Term‐Effectiveness of a Relationship Education Program for Distressed Military Couples,in the Context of Foreign Assignments for the German Armed Forces. Preliminary Findings From a Randomized Controlled Study

This study examines the short‐term effectiveness of a relationship education program designed for military couples. Distressed couples were randomly placed in either a wait‐list control group or an intervention group. We conducted training sessions before a 3‐month foreign assignment, and refresher courses approximately 6‐week post‐assignment. We analyzed the dyadic data of 32 couples, using hierarchical linear modeling in a two‐level model. Reduction in unresolved conflicts was found in the intervention group, with large pre–post effects for both partners. Relationship satisfaction scores were improved, with moderate‐to‐large effects only for soldiers, rather than their partners. Post‐follow‐up effect sizes suggested further improvement in the intervention group. Future research should examine the long‐term effectiveness of this treatment.     

A branching method for the fixed charge transportation problem

This paper presents a branching method for the solution of the fixed charge transportation problem. Starting with a linear formulation of the problem, we develop the method which converges to the optimal solution. The method is based on the computation of a lower bound and an upper bound embedded within a branching process. We present a detailed numerical example to illustrate the proposed method.     

Modifying a central composite design to model the process mean and variance when there are hard-to-change factors

Summary.  An important question within industrial statistics is how to find operating conditions that achieve some goal for the mean of a characteristic of interest while simultaneously minimizing the characteristic's process variance. Often, people refer to this kind of situation as the robust parameter design problem. The robust parameter design literature is rich with ways to create separate models for the mean and variance from this type of experiment. Many times time and/or cost constraints force certain factors of interest to be much more difficult to change than others. An appropriate approach to such an experiment restricts the randomization, which leads to a split-plot structure. The paper modifies the central composite design to allow the estimation of separate models for the characteristic's mean and variances under a split-plot structure. The paper goes on to discuss an appropriate analysis of the experimental results. It illustrates the methodology with an industrial experiment involving a chemical vapour deposition process for the manufacture of silicon wafers. The methodology was used to achieve a silicon layer thickness value of 485 Å while minimizing the process variation.     

A new model and class of designs for mixture experiments with process variables

Experiments that involve the blending of several components are known as mixture experiments. In some mixture experiments, the response depends not only on the proportion of the mixture components, but also on the processing conditions, A new combined model is proposed which is based on Taylor series approximation and is intended to be a compromise between standard mixture models and standard response surface models. Cost and/or time constraints often limit the size of industrial experiments. With this in mind, we present a new class of designs that will accommodate the fitting of the new combined model.     

Sociologist Austin Turk and Policing: Structural Reinforcers and Reversals of the Positional Authority of Police

Austin Turk (1969) offers a distinctly sociological explanation of policing by theorizing that structural reinforcers (e.g., older police officer, younger citizen) and reversals (e.g., younger police officer, older citizen) of the situationally absolute positional authority of police officers affect the relationship between police officers and citizens. To this point, however, there have been only three direct tests of Turk’s theory ( Greenleaf and Lanza‐Kaduce, 1995 ; Lanza‐Kaduce and Greenleaf, 2000 ; Weidner and Terrill, 2005 ). All have examined overt conflict and the results are mixed. The present research therefore adds a fourth test of Turk’s (1969) theory to the sociological literature by examining the effects of structural reinforcers and reversals on citizens’ perceptions of the legitimacy and propriety of police actions during routine traffic stop encounters. Net of control measures, including the legal reason for the traffic stop, and extra‐legal measures, such as driver gender, the data provide modest to strong support for parts of Turk’s (1969) theory and absolutely no support for others. The conclusion of the present study is that more research is needed to determine whether Turk (1969) is correct in theorizing that there is a sociology, and not just a social psychology, to police‐citizen encounters.     

The Impact of the Rural Population Component on Homicide Rates in the United States: A County-Level Analysis

Abstract Using 3,130 U.S. counties or county equivalents, this paper provides a test of the impact of rural population on the violent crime of homicide, while controlling for the effects of other correlates. The results indicate that the traditional bond of group cohesion assumed to be associated with the rural environment and its residents continues to have an inhibiting effect on homicide for counties in the United States.     

More-for-less algorithm for fixed-charge transportation problems

The more-for-less (MFL) phenomenon in distribution problems occurs when it is possible to ship more total goods for less (or equal) total cost, while shipping the same quantity or more from each origin and to each destination. This paradox occurs often in fixed-charge transportation problems (FCTPs), and further analysis could bring significant reduction in costs. The MFL phenomenon for FCTPs has received minimal attention in the literature despite the fact that existing analytical algorithms, such as branch and bound, are limited to small problems due to excessive computational effort. In this paper, we develop a simple heuristic algorithm to identify the demand destinations and the supply points to ship MFL in FCTPs. The proposed method builds upon any existing basic feasible solution. It is easy to implement and can serve as an effective tool for managers for solving the more-for-less paradox for large distribution problems.     

Use of multiple imputation in supersampled nested case-control and case-cohort studies

Nested case-control and case-cohort studies are useful for studying associations between covariates and time-to-event when some covariates are expensive to measure. Full covariate information is collected in the nested case-control or case-cohort sample only, while cheaply measured covariates are often observed for the full cohort. Standard analysis of such case-control samples ignores any full cohort data. Previous work has shown how data for the full cohort can be used efficiently by multiple imputation of the expensive covariate(s), followed by a full-cohort analysis. For large cohorts this is computationally expensive or even infeasible. An alternative is to supplement the case-control samples with additional controls on which cheaply measured covariates are observed. We show how multiple imputation can be used for analysis of such supersampled data. Simulations show that this brings efficiency gains relative to a traditional analysis and that the efficiency loss relative to using the full cohort data is not substantial.     

A Case Study Perspective: The Experiences of Young Persons Testifying to Child Sexual Exploitation in British Criminal Court

Three young persons who gave evidence about child sexual exploitation in criminal court using various testimonial supports were interviewed about their testimony experiences. The witnesses reported that they felt extreme pressure to remember events accurately and cared greatly about being believed. None reported their own coping strategies to alleviate stress and took comfort breaks only after they cried on the stand. Defense attorney questions were reportedly repetitive, rapid, confusing, and focused on secondary content rather than the central criminal acts. The witnesses mentioned dissatisfaction in having supportive social workers whom they trusted leave the case and be replaced.     

Wo lernen Kinder mit sonderpädagogischem Förderbedarf besser? Ein Vergleich schulischer Kompetenzen zwischen Regel- und Förderschulen in der Primarstufe

Promoted by the UN Convention on the Rights of Persons with Disabilities, there is a trend towards the inclusive education of students with special educational needs (SEN) in regular classrooms. The present study addresses the question if achievement differences emerge between SEN students who attend a regular primary school and those who attend a school for special education. Based on data from the IQB-Ländervergleich Primarstufe 2011, a national assessment in German primary schools, the achievement of SEN students in regular schools (n?=?658) was compared to the achievement of students in special schools (n?=?413). Propensity score matching was applied to control for differences in achievement related characteristics between the two groups. After matching, SEN students in inclusive educational settings showed significantly higher test scores in German reading and listening comprehension as well as in mathematics than comparable SEN students in special schools. The effects were more pronounced for students with a special need of learning support than for students with speech and language-related special education support. Possible explanations for the higher achievement of SEN students in regular schools and for differential effects with regard to type of SEN are discussed.