Marginal Means/Rates Models for Multiple Type Recurrent Event Data

Recurrent events are frequently observed in biomedical studies, and often more than one type of event is of interest. Follow-up time may be censored due to loss to follow-up or administrative censoring. We propose a class of semi-parametric marginal means/rates models, with a general relative risk form, for assessing the effect of covariates on the censored event processes of interest. We formulate estimating equations for the model parameters, and examine asymptotic properties of the parameter estimators. Finite sample properties of the regression coefficients are examined through simulations. The proposed methods are applied to a retrospective cohort study of risk factors for preschool asthma.     

Contextual assessment of couples therapy: the Clinical Discourse Q-Sets

This article describes a method for creating highly contextual assessments of couples therapy interaction using concepts from Systemic Functional Linguistics (SFL). According to SFL, talk in interaction serves three primary functions: to mediate social relations, to negotiate representations of reality, and to organize and structure the event as coherent. These concepts are operationalized using observational q-methodology. The Clinical Discourse Q-Sets (CDQS) include three separate q-sets for use by trained observers in rating 12-min segments of couples therapy conversation. Each q-set captures one aspect of the communication process as defined by Systemic Functional theory. Good-to-high reliabilities for the q-set profiles over various (n = 16) couples therapy episodes were found. Preliminary evidence for the conceptual structure and clinical validity of the system was found.     

Assessing nontraditional couples: validity of the marital satisfaction inventory--revised with gay,lesbian, and cohabiting heterosexual couples

Thirty-one gay male couples and 28 lesbian couples were compared with 36 cohabiting heterosexual couples using the Marital Satisfaction Inventory-Revised (MSI-R), a multidimensional measure of relationship functioning intended for use with both traditional and nontraditional couples. Analyses of scales' internal consistency and factor structure supported the construct validity of this measure with nontraditional couples. Analyses of mean profiles on the MSI-R indicated that cohabiting opposite-gender and same-gender couples were more alike than different, and were more similar to nondistressed samples of married heterosexual couples from the general community than to couples in therapy. Implications of current findings for clinical assessment and intervention are considered, and directions for future research are proposed.     

Work hardening: Outdated fad or effective intervention?

OBJECTIVES: The purpose of this outcome measurement study was to determine the effectiveness of a work hardening program as measured by the participants' work status at three months after program completion. Predictors of successful return to work were explored. STUDY DESIGN: The sequential case series design was employed, and data were gathered at three points: the initial work hardening assessment, the discharge assessment, and three months post-discharge from the work hardening program. Seventy-nine participants were included. RESULTS: Eighty-two percent (82%) of the clients who completed a work hardening program reported that they were working in some capacity three months after program completion. They listed their employment status in 5 sub-categories. Significant predictors of employment included "single" marital status, lower perceived disability scores at program entry, reduction in reported pain during program duration, and funding source. CONCLUSION: Work hardening remains an effective treatment strategy which promotes successful return to the workplace. Ongoing analyses of these programs is imperative.     

Organizational climate and burnout in a New Zealand social service agency

Abstract

A two-phase study was conducted on the relationship between organizational climate variables and burnout among personnel in a multifunction community service agency. Initial interviews with a small pilot sample identified major sources of stress, which were then incorporated into a second-phase questionnaire to all staff. Multiple regression analyses illustrated that perceived interactions between head office administrators and sections of the agency contributed significantly to emotional exhaustion, whereas perceptions of within-section interactions and involvement in decision-making had a positive impact on personal accomplishment. Perceived communication levels, however, were negatively related to personal accomplishment. The findings suggest the importance of organizational variables and highlight strategies for burnout reduction and effective stress management in human service organizations.     

Modeling Imbalanced Economic Recovery Following a Natural Disaster Using Input‐Output Analysis

Input‐output analysis is frequently used in studies of large‐scale weather‐related (e.g., Hurricanes and flooding) disruption of a regional economy. The economy after a sudden catastrophe shows a multitude of imbalances with respect to demand and production and may take months or years to recover. However, there is no consensus about how the economy recovers. This article presents a theoretical route map for imbalanced economic recovery called dynamic inequalities. Subsequently, it is applied to a hypothetical postdisaster economic scenario of flooding in London around the year 2020 to assess the influence of future shocks to a regional economy and suggest adaptation measures. Economic projections are produced by a macro econometric model and used as baseline conditions. The results suggest that London's economy would recover over approximately 70 months by applying a proportional rationing scheme under the assumption of initial 50% labor loss (with full recovery in six months), 40% initial loss to service sectors, and 10–30% initial loss to other sectors. The results also suggest that imbalance will be the norm during the postdisaster period of economic recovery even though balance may occur temporarily. Model sensitivity analysis suggests that a proportional rationing scheme may be an effective strategy to apply during postdisaster economic reconstruction, and that policies in transportation recovery and in health care are essential for effective postdisaster economic recovery.     

Robust confidence interval for a residual standard deviation

The residual standard deviation of a general linear model provides information about predictive accuracy that is not revealed by the multiple correlation or regression coefficients. The classic confidence interval for a residual standard deviation is hypersensitive to minor violations of the normality assumption and its robustness does not improve with increasing sample size. An approximate confidence interval for the residual standard deviation is proposed and shown to be robust to moderate violations of the normality assumption with robustness to extreme non-normality that improves with increasing sample size.     

Top management departures in cross-border acquisitions: Governance issues in an international context

This study examined top management team departures in U.S. manufacturing firms acquired by a foreign multinational during the six-year period following acquisition. Results indicated that greater cultural distance between the United States and the home country of the foreign multinational, higher levels of international integration in the target industry, and poor preacquisition performance in the U.S. target company were related to greater postacquisition top management departures. These effects were moderated significantly by the foreign acquirer’s international business and U.S. acquisition experience and showed different patterns over the short-term, intermediate-term, and long-term. Implications for future research on top management teams involved in cross-border acquisitions are discussed.