Seeking Clarity and Confidence in the Divorce Decision-Making Process

There is a well-established literature dedicated to why couples divorce, transitions associated with divorce, and the impact of divorce on families. However, little is known about the divorce decision-making process. We conducted in-depth interviews with individuals who have recently considered divorce (n = 30) and asked specifically about the roles of 2 concepts in their decision-making process: clarity and confidence. Three major themes emerged from the data: (a) Clarity about a decision to divorce or stay married is desired, it fluctuates, and takes time to find; (b) pivotal moments can bring clarity; and (c) confidence (in the final decision) is desired. Clinical implications and directions for future research are discussed.     

The Impact of Flexible Working Arrangements on Work–life Conflict and Work Pressure in Ireland

Recent rapid economic growth in Ireland has been accompanied by a strong surge in the number of women in employment, and this has led to a significant increase in the proportion of dual‐earner families. These changes have brought the issue of reconciliation between work and care commitments to the fore. Flexible working arrangements in firms have been identified as one important means of balancing work and other commitments. In this article we investigate the relationship between four flexible working arrangements; flexitime, part‐time hours, working from home and job sharing, and two key employee outcomes; work pressure and work–life conflict, using data from the first national survey of employees in Ireland in 2003. Our results show that while part‐time work and flexitime tend to reduce work pressure and work–life conflict, working from home is associated with greater levels of both work pressure and work–life conflict. We conclude that it is important to distinguish between flexible working arrangements to discover their potential for reducing work pressure and work–life conflict.     

The joint paediatric–forensic examination in child abuse

The investigation of alleged child abuse should be multi-professional and coordinated to minimize distress to the child and family. Much attention has focused on the joint interview process, with less prominence being given to the medical component of the initial investigation. No standard practice exists in the United Kingdom regarding the conduct of the medical examination or in the training requirements of the doctors who perform the examination. We present a model of practice which has evolved in Edinburgh and the Lothians, drawing on the combined expertise and experience of paediatricians and police surgeons, which has operated for over 2 years; and propose a formal accreditation process for doctors who wish to specialize in the field of child abuse. © 1998 John Wiley & Sons, Ltd.     

Wage Cuts as Investment in Future Wage Growth

Abstract. Wage cuts are often presumed to reflect an adverse change in economic constraints. However, several theoretical models have shown they can be a form of investment in future wage growth. This paper provides empirical evidence of the latter by explicitly modeling the worker's job choice when the job offer consists of both a starting wage and expected future wage growth. We use our analytical model to estimate the distribution of job offers faced by workers who are searching across jobs differing in both initial wage and expected wage growth. For females, roughly one‐third of job changes that result in immediate wage cuts are transitions to jobs that have a higher value function than the existing job. For males, the corresponding value is one‐fifth.     

Stakeholder value disclosures: anchoring on primacy and importance of financial and nonfinancial performance measures

In the growing debate about stakeholder values, there has been little discussion about information overload or whether the requested disclosures can be effectively used. Stakeholder advocates call for complicated and massive environmental and related social disclosures while not considering how information overload might affect the discourse about corporate performance. Stakeholders, including shareholders, plead for more transparency in financial statements, management discussion and analysis (MDA), and other corporate disclosures. As we know, shareholders and boards of directors are most concerned with the ‘Holy Trinity’ of earnings per share, dividends and market value changes. We believe that managers and stakeholders involved in performance evaluations have multiple interests that extend beyond traditional shareholder value measures. We note that the Balanced Scorecard (BSC) was developed as one tool to reflect and communicate these multiple measures. We test how managers use (or ignore) multiple performance measures and we posit that stakeholders will face many of the same constraints when using and processing multiple disclosures including Corporate Social Reports (CSR), environmental, or similar disclosures. While we do not directly test a wide variety of stakeholder disclosures, we examine eight (four for a single subject) shareholder values (financial measures) and four stakeholder values (nonfinancial measures). The eight measures included in our research instruments serve as proxies for the multiple concerns that might be of interest to many stakeholders. Note that stakeholders are likely to be extremely interested in nonfinancial performance measures, while many shareholders will likely concentrate on financial performance measures. Field research has reported managers tend to favor financial measures while discounting or ignoring nonfinancial measures when evaluating subordinates, making it difficult to align performance evaluations and incentives with corporate strategies (Ittner et al. Account Rev 78:725–758, 2003). In this study, we find the relative weights managers place on financial and nonfinancial performance measures are influenced by both (1) presentation order and (2) the relative importance of specific measures. When financial measures are presented first, the manager who performs better on financial measures is rated higher than the manager who performs better on nonfinancial measures. However, when nonfinancial measures are presented first, managers who excel on nonfinancial measures are rated higher. Reports that include financial measures that are relatively more (less) important also produce higher (lower) ratings for the manager who excels on financial measures. Thus, the relative weights that superiors place on financial and nonfinancial measures in evaluating corporate managers’ performance are substantially anchored both by the order in which measures are presented as well as by the importance of the specific performance measures employed. Other stakeholder disclosures are likely to be similarly anchored, perhaps biased, by primacy and a priori importance rankings.     

Statistical approaches for conducting network meta-analysis in drug development

We introduce health technology assessment and evidence synthesis briefly, and then concentrate on the statistical approaches used for conducting network meta-analysis (NMA) in the development and approval of new health technologies. NMA is an extension of standard meta-analysis where indirect as well as direct information is combined and can be seen as similar to the analysis of incomplete-block designs. We illustrate it with an example involving three treatments, using fixed-effects and random-effects models, and using frequentist and Bayesian approaches. As most statisticians in the pharmaceutical industry are familiar with SAS? software for analyzing clinical trials, we provide example code for each of the methods we illustrate. One issue that has been overlooked in the literature is the choice of constraints applied to random effects, and we show how this affects the estimates and standard errors and propose a symmetric set of constraints that is equivalent to most current practice. Finally, we discuss the role of statisticians in planning and carrying out NMAs and the strategy for dealing with important issues such as heterogeneity.     

Bayesian Nonparametric Hidden Markov Models with application to the analysis of copy-number-variation in mammalian genomes

We consider the development of Bayesian Nonparametric methods for product partition models such as Hidden Markov Models and change point models. Our approach uses a Mixture of Dirichlet Process (MDP) model for the unknown sampling distribution (likelihood) for the observations arising in each state and a computationally efficient data augmentation scheme to aid inference. The method uses novel MCMC methodology which combines recent retrospective sampling methods with the use of slice sampler variables. The methodology is computationally efficient, both in terms of MCMC mixing properties, and robustness to the length of the time series being investigated. Moreover, the method is easy to implement requiring little or no user-interaction. We apply our methodology to the analysis of genomic copy number variation.