Affairs of the Heart: Qualities of Adolescent Romantic Relationships and Sexual Behavior

We know more about parent and peer influences than about the ways in which specific qualities of adolescent romantic relationships may influence sexual decision‐making. Using data from the Toledo Adolescent Relationships Study, we focus on communication processes and emotional feelings, as well as more basic contours of adolescent romantic relationships, including power and influence dynamics. Controlling for traditional predictors and duration of the relationship, results suggest that subjectively experienced relationship qualities matter for understanding teens' sexual behavior choices. Further, findings indicate a similar effect of most relationship qualities on male and female reports of sexual behavior. However, influence and power dynamics within the relationship were not related to the likelihood that boys reported sexual intercourse in a focal relationship. In contrast, girls who perceived a more favorable power balance were less likely to report sexual intercourse than their female counterparts who perceived a less favorable power balance. Recognizing that the results capture reciprocal influence processes, longitudinal and qualitative data are used to further explore the complex nature of these associations.     

Small area estimation: the EBLUP estimator based on spatially correlated random area effects

This paper deals with small area indirect estimators under area level random effect models when only area level data are available and the random effects are correlated. The performance of the Spatial Empirical Best Linear Unbiased Predictor (SEBLUP) is explored with a Monte Carlo simulation study on lattice data and it is applied to the results of the sample survey on Life Conditions in Tuscany (Italy). The mean squared error (MSE) problem is discussed illustrating the MSE estimator in comparison with the MSE of the empirical sampling distribution of SEBLUP estimator. A clear tendency in our empirical findings is that the introduction of spatially correlated random area effects reduce both the variance and the bias of the EBLUP estimator. Despite some residual bias, the coverage rate of our confidence intervals comes close to a nominal 95%.     

Children's participation in foster care placements

This article presents results from a study of the birth children of foster carers and their experiences of growing up with foster siblings. Data were gathered from focus groups (17 participants), discussion groups (16 participants), a questionnaire (684 responses) and eight individual interviews. The children's participation in the fostering placements is in focus. Accounts from the children show that several of them participate in care-giving activities in everyday life. Their participation in the official assignment is however limited and can lead to children taking on responsibility with no support from adults. The tension between children's agency and position in society is addressed. The study shows how power relations between children and adults come into play, how both children and adults (re)-produce positions where children's rights to have a say in questions that concern them are not reflected within fostering processes.     

Training Intraverbal Naming to Establish Matching-to-Sample Performances

The current study evaluated whether training intraverbal naming would be sufficient to establish visual-visual matching-to-sample (MTS) performances in college students. In the first experiment, we used a multiple-probe design across stimulus sets to assess whether six participants could match arbitrary visual stimuli (AB) after learning to tact their two experimentally defined classes (A’ and B’) and then intraverbally relate their names (i.e., “A’ goes with B’”). All participants matched the stimuli accurately after training, as well as emitted the trained intraverbals. In the second experiment, we used a multiple baseline design across four participants to assess whether the same training would produce bi-directional intraverbals in the form of “B’ goes with A’,” and MTS performance consistent with symmetry (BA). All participants responded accurately during matching and intraverbal tests. Across both experiments, participants stated the trained intraverbals while performing the matching task. Results showed that MTS performance can be established solely by verbal behavior training.     

Perceived Inflation Persistence

This article constructs and estimates a measure called perceived inflation persistence that can be used to determine if professional forecasters’ inflation forecasts indicate there has been a change in inflation persistence. This measure is built via the implied autocorrelation function that follows from the estimates obtained using a forecaster-specific state-space model. Findings indicate that U.S. perceived inflation persistence has changed since the mid-1990s with more consensus among forecasters at lower levels of persistence. When compared to the autocorrelation function for actual inflation, forecasters typically react less to shocks to inflation than the actual inflation data would suggest.     

Recognizing Structural Nonidentifiability: When Experiments Do Not Provide Information About Important Parameters and Misleading Models Can Still Have Great Fit

In the quest to model various phenomena, the foundational importance of parameter identifiability to sound statistical modeling may be less well appreciated than goodness of fit. Identifiability concerns the quality of objective information in data to facilitate estimation of a parameter, while nonidentifiability means there are parameters in a model about which the data provide little or no information. In purely empirical models where parsimonious good fit is the chief concern, nonidentifiability (or parameter redundancy) implies overparameterization of the model. In contrast, nonidentifiability implies underinformativeness of available data in mechanistically derived models where parameters are interpreted as having strong practical meaning. This study explores illustrative examples of structural nonidentifiability and its implications using mechanistically derived models (for repeated presence/absence analyses and dose–response of Escherichia coli O157:H7 and norovirus) drawn from quantitative microbial risk assessment. Following algebraic proof of nonidentifiability in these examples, profile likelihood analysis and Bayesian Markov Chain Monte Carlo with uniform priors are illustrated as tools to help detect model parameters that are not strongly identifiable. It is shown that identifiability should be considered during experimental design and ethics approval to ensure generated data can yield strong objective information about all mechanistic parameters of interest. When Bayesian methods are applied to a nonidentifiable model, the subjective prior effectively fabricates information about any parameters about which the data carry no objective information. Finally, structural nonidentifiability can lead to spurious models that fit data well but can yield severely flawed inferences and predictions when they are interpreted or used inappropriately.     

Suicide Prevention Training Program for Gatekeepers Working in Community Hospice Settings

Gatekeepers in community hospice settings encounter patients and caregivers struggling with suicidal thoughts. Limited guidance is available for training staff on the prevention of suicide in hospice care. This study evaluated one promising, evidence-based, suicide prevention program with a behavioral rehearsal practice session. A pre- and post-, one group design, was utilized to measure the training impact and educational needs of staff working in community hospice settings (N =39). Training increased awareness of the risk factors for suicide, as reported by nearly 80% of participants. Self-efficacy scores showed a statistically significant Increase, t(df = 35), ?9.59, p= .00 (two-tailed), from pretraining (n=36, M=2.21, SD= .65) to posttraining (n=36, M=3.03, SD=.56). Satisfaction and the need for additional devoted time for suicide prevention training were highly rated. Suicide prevention training programs can enhance self-efficacy, knowledge, and skills for gatekeepers working in community hospice settings.     

The potential power of social policy programmes: income redistribution,economic resources and health

Lundberg O, Fritzell J, Åberg Yngwe M, Kölegård ML. The potential power of social policy programmes: income redistribution, economic resources and health Int J Soc Welfare 2010: ??: ??–??© 2010 The Author(s), Journal compilation © 2010 Blackwell Publishing Ltd and International Journal of Social Welfare. This Supplement includes a number of articles dealing with the role of social policy schemes for public health across the life course. As a key social determinant of health, poverty and its consequences have historically been at the forefront of the public health discussion. But also in rich countries today, economic resources are likely to be important for health and survival, both on an individual and an aggregate level. This introductory article serves as a background for the more specific analyses that follow. The focus is on why income and income inequality could have an effect on individual and population health. We discuss relationships between the individual and population levels and between income and health, and some of the possible mechanisms involved. We also present arguments for why welfare state institutions may matter.