Disclosure issues in neuroscience research

Issues of disclosure arise in neuroscientific research during the informed consent process, whenever incidental findings are identified, and when study results are generated. The possibility of disclosure of incidental findings and/or research results may raise informational expectations on the part of subjects and may alter a study's risk:benefit ratio. We recommend that the informed consent process address this potential consequence of research participation, and specify the conditions under which particular types of information will be offered, the conditions under which information may not be disclosed, and any provisions for helping subjects make sense of the information to be disclosed.     

Children's Use and Knowledge of Display Rules for Anger Following Hypothetical Vignettes versus Following Live Peer Interaction

Our primary goal was to examine the correspondence between children's self-reported use and knowledge of display rules for anger following hypothetical vignettes versus following live peer interactions. Our secondary goal was to investigate whether children's self-reported experience and self-reported expression of anger were related their observed anger expression, considered an observational measure of use of display rules for anger. Participants were 274 second-grade children. Children were first interviewed about their use and knowledge of display rules for anger in game-playing situations depicted through hypothetical vignettes. Several months later, children interacted with a confederate in standardized games designed to simulate the vignettes and answered the same questions about display rules. Children's responses were moderately related across the two contexts. However, following the live interactions, compared to the hypothetical vignettes, children reported feeling less anger, expressing less anger, intending to hide their anger more, and dissembling their anger more. In addition, there were differences in the quality and quantity of strategies for hiding anger that children generated across the two contexts. Observations of anger expression were not related to self-reports of either the experience or expression of anger.     

A NOTE ON A MULTIVARIATE GENERALIZATION OF THE KRUSKAL-WALLIS TEST

Marketers are often interested in testing whether the mean vectors of multivariate distributions are equal. The test usually applied, one-way MANOVA, assumes the distributions are multinormal. Unfortunately, this assumption is not supported in many studies. As an alternative, a nonparametric multivariate one-way analysis of variance procedure is presented.     

Evaluating Potential Distribution of High‐Risk Aquatic Invasive Species in the Water Garden and Aquarium Trade at a Global Scale Based on Current Established Populations

Aquatic non‐native invasive species are commonly traded in the worldwide water garden and aquarium markets, and some of these species pose major threats to the economy, the environment, and human health. Understanding the potential suitable habitat for these species at a global scale and at regional scales can inform risk assessments and predict future potential establishment. Typically, global habitat suitability models are fit for freshwater species with only climate variables, which provides little information about suitable terrestrial conditions for aquatic species. Remotely sensed data including topography and land cover data have the potential to improve our understanding of suitable habitat for aquatic species. In this study, we fit species distribution models using five different model algorithms for three non‐native aquatic invasive species with bioclimatic, topographic, and remotely sensed covariates to evaluate potential suitable habitat beyond simple climate matches. The species examined included a frog (Xenopus laevis), toad (Bombina orientalis), and snail (Pomacea spp.). Using a unique modeling approach for each species including background point selection based on known established populations resulted in robust ensemble habitat suitability models. All models for all species had test area under the receiver operating characteristic curve values greater than 0.70 and percent correctly classified values greater than 0.65. Importantly, we employed multivariate environmental similarity surface maps to evaluate potential extrapolation beyond observed conditions when applying models globally. These global models provide necessary forecasts of where these aquatic invasive species have the potential for establishment outside their native range, a key component in risk analyses.     

Mothers and child care: policies,values and theories

Government expansion of child care services is based on the assumption that both parents are employed (the adult worker model) and make cost‐benefit calculations in choosing child care (the rational economic choice model). This paper addresses this assumption, based on research examining mothers' assessments of appropriate child care. These assessments involve complex moral and emotional decisions around their own and their children's needs, and differ between social groups. On this basis, we conclude that the assumptions underlying current child care expansion policy are inadequate, and that the mere expansion of services is not enough.     

An Examination of the Asymmetric Effects of Money Supply Shocks in the Pre–World War I and Interwar Periods

We test whether monetary shocks had asymmetric output effects before World War II. Ball and Mankiw (1994) show that expectations of persistent inflation under fiat money can explain why negative monetary shocks had larger effects than positive shocks after World War II. Consistent with this explanation, we find such asymmetry in the interwar period following the abandonment of the gold standard and before it, when agents arguably anticipated this development. We find no monetary asymmetry before World War I, which is consistent with Ball and Mankiw (1994), because under a credible gold standard, agents do not expect persistent inflation.     

DEXPERT: an expert system for the design of experiments

DEXPERT is an expert system, built using KEE, for the design and analysis of experiments. From a mathematical model, expected mean squares are computed, tests are determined, and the power of the tests computed. Comparisons between designs are aided by suggestions and verbal interpretations provided by DEXPERT. DEXPERT provides a layout sheet for the collection of the data and then analyzes and interprets the results using analytical and graphical methods.     

Modeling Benzene Pharmacokinetics Across Three Sets of Animal Data: Parametric Sensitivity and Risk Implications

Typically, the uncertainty affecting the parameters of physiologically based pharmacokinetic (PBPK) models is ignored because it is not currently practical to adjust their values using classical parameter estimation techniques. This issue of parametric variability in a physiological model of benzene pharmacokinetics is addressed in this paper. Monte Carlo simulations were used to study the effects on the model output arising from variability in its parameters. The output was classified into two categories, depending on whether the output of the model on a particular run was judged to be generally consistent with published experimental data. Statistical techniques were used to examine sensitivity and interaction in the parameter space. The model was evaluated against the data from three different experiments in order to test for the structural adequacy of the model and the consistency of the experimental results. The regions of the parameter space associated with various inhalation and gavage experiments are distinct, and the model as presently structured cannot adequately represent the outcomes of all experiments. Our results suggest that further effort is required to discern between the structural adequacy of the model and the consistency of the experimental results. The impact of our results on the risk assessment process for benzene is also examined.     

Professional networks,science ability,and gender determinants of three types of leadership in academic science and engineering

This paper examines the factors associated with holding leadership positions among men and women academic scientists. We develop hypotheses for three determinants of leadership: professional networks, science ability, and gender. We test the resulting model on the likelihood of holding three different types of academic science leadership—research center leadership, university administrative leadership, and discipline leadership. Findings show that while science productivity and reputation are strongly associated with having either a center or discipline leadership position, they are less strongly associated with administrative leadership. Also, larger and more dense collaboration networks predict having a center leadership position, but the opposite is true for holding an administrative leadership position. Women are more likely to be in discipline leadership positions and less likely to be a leader of a research center or have an administrative university leadership position. Finally, having more women in the network reduces the likelihood of holding discipline or center leadership positions. Interpretations of findings and conclusions explore the potential implications for theory, practice and policy.     

Transportation Difficulty of Black and White Rural Older Adults

The purpose of this study was to understand self-reported transportation difficulty among rural older adults. We used data from the UAB Study of Aging (255 Black and 259 White), community-dwelling participants residing in rural areas. We examined the relationship of predisposing characteristics, enabling resources, and measures of need for care with self-reports of transportation difficulty. Blacks reported having more transportation difficulty than Whites (24.7% vs. 11.6%; p ≤ .05). When we introduced other variables, race differences disappeared, but there was a race by income interaction with transportation difficulty. Whites with lower incomes were more likely to have transportation difficulty than Whites with higher incomes. When data from Blacks and Whites were analyzed separately, income was the only variable associated with transportation difficulty among Whites. Among Blacks, income was not related to transportation difficulty but several variables other than income (age, gender, marital status, MMSE scores and depression) were.