Research with children: sharing the dilemmas

This paper identifies a number of significant gaps between the principles of good practice in research with children and the practical realities of conducting a research project with children. The context of the discussion is an ongoing research study of children and young people in Scotland with a parent or carer with HIV. The paper argues that conducting research with what is a hidden (and in many ways secret) population throws into sharp relief some difficulties and contradictions that are at the heart of the research process. The paper does not intend to present easy answers to the complex questions that it raises: the research project it describes is ongoing and not yet at the stage of disseminating findings in any definitive way. Moreover, it seems likely that there are no answers to the questions raised, but that the act of posing the questions may contribute to the development of better, more reflexive research with children.     

African American Gay Family Networks: An Entry Point for HIV Prevention

Gay families are constructed support networks that gay, bisexual, and transgender individuals of color form, often in response to societal marginalization and rejection from biological families. Research on these family structures has been scarce, with little focus on the experience of African American gay family networks in the South. The current grounded theory qualitative study focused on the experiences of 10 African American male and transgender individuals between the ages of 18 and 29 from gay families in the Mid-South, and explored the ways these families addressed safe-sex issues and human immunodeficiency virus (HIV) risk prevention. Results revealed that families can play a role in either increasing HIV risk (e.g., ignoring HIV issues, encouraging such unsafe behaviors as exchanging sex for money or drugs, stigmatizing HIV-positive people) or decreasing it (e.g., intensive, family-level prevention efforts at safe-sex practices and family support for HIV treatment adherence). The potential of these family networks for HIV prevention and adherence efforts is considered.     

The analysis of incontinence episodes and other count data in patients with overactive bladder by Poisson and negative binomial regression

Clinical studies in overactive bladder have traditionally used analysis of covariance or nonparametric methods to analyse the number of incontinence episodes and other count data. It is known that if the underlying distributional assumptions of a particular parametric method do not hold, an alternative parametric method may be more efficient than a nonparametric one, which makes no assumptions regarding the underlying distribution of the data. Therefore, there are advantages in using methods based on the Poisson distribution or extensions of that method, which incorporate specific features that provide a modelling framework for count data. One challenge with count data is overdispersion, but methods are available that can account for this through the introduction of random effect terms in the modelling, and it is this modelling framework that leads to the negative binomial distribution. These models can also provide clinicians with a clearer and more appropriate interpretation of treatment effects in terms of rate ratios. In this paper, the previously used parametric and non‐parametric approaches are contrasted with those based on Poisson regression and various extensions in trials evaluating solifenacin and mirabegron in patients with overactive bladder. In these applications, negative binomial models are seen to fit the data well. Copyright © 2014 John Wiley & Sons, Ltd.     

Supply Chain Contract Design: Impact of Bounded Rationality and Individual Heterogeneity

In this article, we model various forms of non‐optimizing behavior in a newsvendor setting, including biases such as recency, reinforcement, demand chasing, and anchoring, as well as unsystematic decision errors. We assume that a newsvendor may evaluate decisions by examining both past outcomes and future expected payoffs. Our model is motivated by laboratory observations under several types of supply chain contracts. Ordering decisions are found to follow multi‐modal distributions that are dependent on contract structures and incentives. We differ from previous research by using statistics to determine which behavioral factors are applicable to each decision maker. A great deal of heterogeneity was discovered, indicating the importance of calibrating a contract to the individual. Our analysis also shows that the profit performance and the effectiveness of co‐ordinating contracts can be affected by non‐optimizing behaviors significantly. We conclude that, in addition to the aggregate order quantities, the decision distributions should be considered in designing contracts.     

Intergenerational patterns of teenage fertility

One of the frequently cited consequences of teen childbearing is the repetition of early births across generations, which thereby perpetuates a cycle of poverty and disadvantage. We use data from the 1988 National Survey of Family Growth (NSFG), Cycle IV, to examine trends and determinants of the intergenerational teen fertility link for women who reached adolescence between the 1950s and the 1980s. We find that daughters of both white and black teen mothers face significantly higher risks of teen childbearing than daughters of older mothers. We also find, more generally, that patterns of teenage family formation (i.e., both marriage and childbearing behaviors) tend to be repeated intergenerationally. The results suggest that the intrafamily propensity for early childbearing is not inherited biologically, at least not through factors related to the timing of puberty. Rather, the intergenerational patterns appear to operate at least in part through the socioeconomic and family context in which children grow up.     

Way of being and the therapeutic pyramid: Expanding the application of a common factors meta‐model

Common factors proponents have suggested the need for principle‐based meta‐models to explain how various factors interact with each other to produce change. The therapeutic pyramid is a common factors meta‐model that outlines how therapeutic skills and techniques, the therapeutic alliance, and a therapist's way of being interactive to produce therapeutic change. Skills and techniques occupy the smallest top portion of the pyramid, with the therapeutic alliance in the middle and a therapist's way of being forming the foundation of the pyramid. The success of any layer rests on the quality of the immediately underlying layer. This study illustrates the broad applicability of common factors meta‐models by applying the therapeutic pyramid to couples therapy, family therapy, training and supervision, and professional ethics.     

Complexity as a Contract Design Factor: A Human‐to‐Human Experimental Study

Despite being theoretically suboptimal, simpler contracts (such as price‐only contracts and quantity discount contracts with limited number of price blocks) are commonly preferred in practice. Thus, exploring the tension between theory and practice regarding complexity and performance in contract design is especially relevant. Using human subject experiments, Kalkancı et al. (2011) showed that such simpler contracts perform effectively for a supplier interacting with a computerized buyer under asymmetric demand information. We use a similar set of experiments with the modification that a human supplier interacts with a human buyer. We show that human interactions strengthen the supplier's preference for simpler contracts. We find that suppliers have fairness concerns even when they interact with computerized buyers. These fairness concerns tend to be even stronger when suppliers interact with human buyers, particularly when the complexity of the contract is low. We also find that suppliers are more prone to random decision errors (i.e., bounded rationality) when interacting with human buyers. In the absence of social preferences, Kalkancı et al. identified reinforcement and bounded rationality as key biases that impact suppliers' decisions. In human‐to‐human experiments, we find evidence for social preference effects. However, these effects may be secondary to bounded rationality.