Life Balance and Work Addiction Among NCAA Administrators and Coaches

Intercollegiate athletics represent an industry prone to challenges of work addiction and life balance. Work addiction and life balance domains in male and female intercollegiate athletic coaches and administrators (N = 245) were examined using multiple regression analysis. Higher levels of stress/anxiety, sleep disturbance, and career satisfaction and lower levels of quality of relationships and friendships were the strongest predictors of work addiction. Counseling focused on reducing the negative aspects of work addiction, while maintaining job performance, may benefit this population.     

A MINIMUM-COST AUDIT SAMPLING METHODOLOGY UNDER CONDITIONS OF PREDETERMINED BETA RISK

This paper presents a minimum-cost methodology for determining a statistical sampling plan in substantive audit tests. In this model, the auditor specifies β, the risk of accepting an account balance as correct when it is not, according to audit evidence requirements. Using β as a constraint, the auditor then selects a sampling plan to optimize the trade-off between sampling costs and the costs of follow-up audit procedures. Tables to aid in this process and an illustration are provided.     

Child labour measurement: Whom should we ask?

Funding decisions to support vulnerable children are tied to child labour statistics, hence the importance of an accurate measurement. The author analyses whether the type of respondent plays an important role in explaining variations in child labour statistics. Using data from two sites in Tanzania, the analysis shows that “whom we ask” matters considerably when estimating the prevalence of child labour. The results suggest that prevalence increases by approximately 35 to 65 per cent when using child self‐reports rather than proxy reports. This bias affects 14 to 31 per cent of the sample, depending on the indicator. Discrepancies decrease as the child ages and increase if proxy attitudes demonstrate opposition to child labour.     

Mothers' and Fathers' Well‐Being in Parenting Across the Arch of Child Development

Limited research on parental well‐being by child age suggests that parents are better off with very young children despite intense time demands of caring for them. This study uses the American Time Use Survey Well‐Being Module (N = 18,124) to assess how parents feel in activities with children of different ages. Results show that parents are worse off with adolescent children relative to young children. Parents report the lowest levels of happiness with adolescents relative to younger children, and mothers report more stress and less meaning with adolescents. Controlling for contextual features of parenting including activity type, solo parenting, and restorative time does not fully account for the adolescent disadvantage in fathers' happiness or mothers' stress. This study highlights adolescence as a particularly difficult stage for parental well‐being and shows that mothers shoulder stress that fathers do not, even after accounting for differences in the context of their parenting activities.     

Do the Constructs of the FACES IV Change Based on Definitions of “Family?” A Measurement Invariance Test

The Family Adaptability and Cohesion Scale (FACES) IV does not provide instructions about which family members respondents should think about while answering questions. This study examined which family members respondents thought about while completing the FACES IV, and if this changed measurement invariance and population heterogeneity of the measure. Using a sample of n = 511 individuals, a latent class analysis showed three distinct classes: Nuclear Family, Family of Origin, and All of the Above. The FACES IV demonstrated measurement invariance across classes on the majority of subscales; however, population heterogeneity tests suggested that the means and variances of the subscales varied across classes. The findings suggest further examination of how the measure functions with unique family constellations is warranted.     

‘All Those Stories,All Those Stories’: How Do Bosnian Former Child Refugees Maintain Connections to Bosnia and Community Groups in Australia?

Abstract

This article draws on oral histories from my PhD research to explore how six teenagers, now adults, remember their arrivals in Australia as child refugees from Bosnia. It examines their relationships with other people from Bosnia and the former Yugoslavia, including community groups, and how these relationships have changed over time. In examining these narratives, issues of intergenerational differences are highlighted, with interviewees positioning their experiences in relation to both their parents and their second-generation peers. Finally, it explores how former refugees maintain their relationships with family and friends in Bosnia, suggesting that these transnational connections provide them with as much familiarity and comfort as they do feelings of alienation.     

Mesurer le travail des enfants: qui faut‐il interroger?

La mesure du travail des enfants est une entreprise difficile et incertaine, mais cruciale puisque le ciblage de l'aide en dépend. Dans ce contexte, l'auteure montre à partir de données tanzaniennes, et en utilisant deux définitions du travail des enfants, que le choix du répondant influe considérablement sur les chiffres obtenus, supérieurs de 35 à 65 pour cent quand ce sont les déclarations des enfants qui sont prises en compte plutôt que celles des adultes. Le biais touche 14 à 31 pour cent de l'échantillon. L'écart diminue avec l'âge de l'enfant et se creuse lorsque le répondant adulte est hostile au travail des enfants.     

Identifying the most successful dose (MSD) in dose-finding studies in cancer

For a dose finding study in cancer, the most successful dose (MSD), among a group of available doses, is that dose at which the overall success rate is the highest. This rate is the product of the rate of seeing non-toxicities together with the rate of tumor response. A successful dose finding trial in this context is one where we manage to identify the MSD in an efficient manner. In practice we may also need to consider algorithms for identifying the MSD which can incorporate certain restrictions, the most common restriction maintaining the estimated toxicity rate alone below some maximum rate. In this case the MSD may correspond to a different level than that for the unconstrained MSD and, in providing a final recommendation, it is important to underline that it is subject to the given constraint. We work with the approach described in O'Quigley et al. [Biometrics 2001; 57(4):1018-1029]. The focus of that work was dose finding in HIV where both information on toxicity and efficacy were almost immediately available. Recent cancer studies are beginning to fall under this same heading where, as before, toxicity can be quickly evaluated and, in addition, we can rely on biological markers or other measures of tumor response. Mindful of the particular context of cancer, our purpose here is to consider the methodology developed by O'Quigley et al. and its practical implementation. We also carry out a study on the doubly under-parameterized model, developed by O'Quigley et al. but not     

Child and Youth Well-Being in the United States, 1975–1998: Some Findings from a New Index

Social Indicators Research - This paper addresses the following questions: Overall, on average, how did child and youthwell-being in the United States of Americachange in the last quarter of the...     

A Warning Zone Method for the Multiperiod Cost Variance Investigation Problem

This paper develops a warning zone approach to make variance investigation decisions for a multiperiod process. The assumed cost generation process varies between an in-control and out-of-control state. These states cannot be directly observed, but must be inferred from the reported cost variances. Using the warning zone method of inference, the manager investigates the process whenever an upper threshold is exceeded or a lower threshold is exceeded for two consecutive periods. A four-state Markov chain models the resulting decision process. Steady state probabilities are derived for this chain and are used to obtain explicit formulas for the effectiveness and efficiency of the decision process. These formulas permit computation of the cost savings attainable by the warning zone method. Compared to other decision rules, the warning zone method is much simpler than the theoretically optimal Bayesian revision method, but uses more information than the Markovian control limit method. Numerical comparison of results shows that the warning zone method usually captures most of the available cost savings, even in cases where the Markovian control limit method does not perform well.