The case of post-acquisition integration design decisions

In a multi-method study that examined post-acquisition integration design decisions, managers were found to have poor insight into the values underlying their decision making. This lack of insight was not found to be moderated by increased levels of experience with acquisition decision making, and its effects were reflected in post-acquisition performance.     

Determinants of sexual arousal and accuracy of its self-estimation in sexually functional males

Men with and without sexual dysfunction present with varying patterns of agreement between subjective estimates of sexual arousal and more objective psychophysiological measures of the same construct. This relative accuracy seems to be associated with sexual function, with men who have sexual dysfunction presenting less accurate estimations (mostly reporting below measured arousal levels). The purpose of this study is to clarify the processes underlying sexual arousal and the accuracy of its self-estimation. We looked at potential predictors of sexual arousal (subjective and physiological) and accuracy in estimating objective sexual arousal in a sample of 60 sexually functional males. Predictors included pre-existing sexual attitudes (erotophobia), both trait and state positive and negative affect, self-focused attention, and interoceptive awareness. Results indicate that this sexually functional sample generally reported below their own erection level. Interestingly, trait negative affect was associated with somewhat lower levels of subjective arousal and higher levels of physiological arousal. On the other hand, state positive affect facilitated both subjective and objective arousal and increased somewhat the accuracy of estimates of erectile responding. Pre-existing sexual attitudes as well as variations in self-focused attention and interoceptive awareness evidenced little effect on sexual arousal or the accuracy of its estimation.     

Child welfare privatization: quantitative indicators and policy issues

The purpose of this study was to demonstrate the development of safety, permanency, and child well-being indicators by using administrative data sets as well as by using these indicators as tools for evaluating Florida's Community-Based Care (CBC) initiative. Longitudinal data from 37 counties including 4 counties that implemented community-based care were examined in this study. The results of the study indicated that the overall performance of CBC counties is at least as good as the performance of their comparison run by the state counties. The findings that emerged from this study may provide important lessons for developing a performance measurement system in the child welfare field.     

An attribution model of public discrimination towards persons with mental illness

In this study, we build on previous work by developing and estimating a model of the relationships between causal attributions (e.g., controllability, responsibility), familiarity with mental illness, dangerousness, emotional responses (e.g., pity, anger, fear), and helping and rejecting responses. Using survey data containing responses to hypothetical vignettes, we examine these relationships in a sample of 518 community college students. Consistent with attribution theory, causal attributions affect beliefs about persons' responsibility for causing their condition, beliefs which in turn lead to affective reactions, resulting in rejecting responses such as avoidance, coercion, segregation, and withholding help. However, consistent with a danger appraisal hypothesis, the effects of perceptions of dangerousness on helping and rejecting responses are unmediated by responsibility beliefs. Much of the dangerousness effects operate by increasing fear, a particularly strong predictor of support for coercive treatment. The results from this study also suggest that familiarity with mental illness reduces discriminatory responses.     

Experience of cumulative trauma disorders on life roles of worker and family member: a case study of a married couple

The prevalence of diagnosed cumulative trauma disorders (CTD) within the workforce comes at a high price for employers burdened with financial losses from missed work and worker's compensation costs. Research has focused primarily on the impact of CTD on the worker role within the workplace, overlooking the impact on roles across multiple environments [24,35,54]. Furthermore, the influence of CTD on life roles of a spouse has not been examined. This single case study illustrated the experience of CTD within a marital relationship through the use of grounded theory. Results indicated that adaptations to CTD symptoms were least altering to the established routines and roles of the couple. With progression of symptoms, the spouse without symptoms was relied on more heavily for adaptations to manage pain. The results of this study indicate that occupational therapists must examine the client's valued roles and incorporate the family into intervention strategies.     

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.     

Individual and situational correlates of motivation for skills upgrading: an empirical study

The present research examines the tenability of a number of factors thought to precede an individual's motivation for skills upgrading. Because motivation for skills upgrading is instrumental to training success and is highly malleable, knowing the factors that precede motivation for skills upgrading would help managers and policy makers a great deal in formulating strategies to raise the competitiveness of the workforce. We derive several testable hypotheses from the existing literature and empirically verify the selected antecedents of motivation for skills upgrading. Results based on responses from 413 employees suggest that an individual's attitude towards skills upgrading, self-efficacy, usefulness of skills upgrading, health condition and long-term orientation are positively related to motivation for skills upgrading. Implications for policy makers, managers and researchers are discussed.     

Non-ignorable missing covariate data in survival analysis: a case-study of an International Breast Cancer Study Group trial

Summary.  Non-ignorable missing data, a serious problem in both clinical trials and observational studies, can lead to biased inferences. Quality-of-life measures have become increasingly popular in clinical trials. However, these measures are often incompletely observed, and investigators may suspect that missing quality-of-life data are likely to be non-ignorable. Although several recent references have addressed missing covariates in survival analysis, they all required the assumption that missingness is at random or that all covariates are discrete. We present a method for estimating the parameters in the Cox proportional hazards model when missing covariates may be non-ignorable and continuous or discrete. Our method is useful in reducing the bias and improving efficiency in the presence of missing data. The methodology clearly specifies assumptions about the missing data mechanism and, through sensitivity analysis, helps investigators to understand the potential effect of missing data on study results.     

Statistical modeling for Bayesian extrapolation of adult clinical trial information in pediatric drug evaluation

Children represent a large underserved population of “therapeutic orphans,” as an estimated 80% of children are treated off‐label. However, pediatric drug development often faces substantial challenges, including economic, logistical, technical, and ethical barriers, among others. Among many efforts trying to remove these barriers, increased recent attention has been paid to extrapolation; that is, the leveraging of available data from adults or older age groups to draw conclusions for the pediatric population. The Bayesian statistical paradigm is natural in this setting, as it permits the combining (or “borrowing”) of information across disparate sources, such as the adult and pediatric data. In this paper, authored by the pediatric subteam of the Drug Information Association Bayesian Scientific Working Group and Adaptive Design Working Group, we develop, illustrate, and provide suggestions on Bayesian statistical methods that could be used to design improved pediatric development programs that use all available information in the most efficient manner. A variety of relevant Bayesian approaches are described, several of which are illustrated through 2 case studies: extrapolating adult efficacy data to expand the labeling for Remicade to include pediatric ulcerative colitis and extrapolating adult exposure‐response information for antiepileptic drugs to pediatrics.