SexEd.com: Values and norms in web‐based sexuality education

The sexual values and norms transmitted to adolescents through school‐based sexuality education programs have been noted and critiqued by an interdisciplinary pool of researchers. With the increasing availability of the Internet to many American adolescents, the opportunities it provides for discreet and independent exploration, and the virtual lack of regulation of information provided by web sites, the Internet is emerging as a unique and critical site of sexuality education. This work analyzes the values and norms transmitted to adolescents via 52 sexuality education web sites, drawing parallels to its school‐based counterpart and interrogating the reliance of all forms of sexuality education on a problem‐focused, gendered, and narrowly‐bounded discourse of adolescent sexuality.     

What Cruising Infants Understand about Support for Locomotion

“Cruising” infants can only walk using external support to augment their balance. We examined cruisers' understanding of support for upright locomotion under four conditions: cruising over a wooden handrail at chest height, a large gap in the handrail, a wobbly unstable handrail, and an ill‐positioned low handrail. Infants distinguished among the support properties of the handrails with differential attempts to cruise and handrail‐specific forms of haptic exploration and gait modifications. They consistently attempted the wood handrail, rarely attempted the gap, and occasionally attempted the low and wobbly handrails. On the wood and gap handrails, attempt rates matched the probability of cruising successfully, but on the low and wobbly handrails, attempt rates under‐ and overestimated the probability of success, respectively. Haptic exploration was most frequent and varied on the wobbly handrail, and gait modifications—including previously undocumented “knee cruising”—were most frequent and effective on the low handrail. Results are discussed in terms of developmental changes in the meaning of support.     

Social-ecological research in urban natural areas: an emergent process for integration

Urban Ecosystems - Understanding the structure and function of urban landscapes requires integrating social and ecological research. Here, we integrate parallel social and ecological assessments of...     

Applying the Housing First approach to single-site permanent supportive housing

This study explored how the U.S. Departments of Housing and Urban Development-Veterans Affairs Supportive Housing (HUD-VASH) program applies Housing First principles in the context of ten single-site programs. Focus group discussions with 64 HUD-VASH staff and community partners explored how the programs were influenced by Housing First principles and specific strategies to implement these principles in a single-site setting. Focus group respondents described resourceful ways that the principles of Housing First were implemented in their programs specifically related to (1) housing choice and structure, (2) separation of housing and services, (3) service philosophy, and (4) service array. Several of the Housing First domains cite the importance of integrated housing and the provision of services off-site; it was of particular interest to learn how single-site programs address these issues logistically. Lessons learned from this study include the importance of leveraging the independent yet overlapping tasks of case management and property management to ensure functional – if not geographic – separation of housing and services; maintaining staff on-site to address Veterans’ needs; working with community service organizations to complement the array of service available to residents; and housing single-site programs in mixed-use buildings.     

Regulation of Jealousy Protest in the Context of Reunion Following Differential Treatment

Emotion regulation strategies and variation in their presentation were explored toward understanding infants' responses during reunion with mother (Re) following baseline mother–infant interaction (Bl) and differential treatment (DT) episodes. Correlation analyses revealed cohesion among distress and mother‐directed touch and proximity‐seeking during DT and Re, mother‐directed gaze during DT, and resistance during Re. The association between mother‐directed gaze during DT and distress during Re suggests that visual inattention during DT serves as a regulatory strategy. Overall, these linkages yield expanded understanding of jealousy protest as a constellation of responses that endures beyond the eliciting condition and includes regulatory behaviors. Cross‐context comparisons revealed that distress was lower during Re than during DT, but not as low as Bl, suggesting that DT poses challenge to interactive repair. Inquiry into individual variation revealed that distress during Re was augmented in laterborn males and with risk influences of dysregulated fear, and maternal insensitivity and hostility. Conversely, maternal depression was associated with less distress; later judgment as insecure, especially insecure‐avoidance, was associated with less mother‐directed behaviors. These findings suggest that dysregulation following DT is indicated by both resistance and passivity. In sum, the results highlight emotion regulation as a powerful framework for addressing recovery following DT.     

Efficient heterogeneous sampling for stochastic simulation with an illustration in health care applications

In modeling disease transmission, contacts are assumed to have different infection rates. A proper simulation must model the heterogeneity in the transmission rates. In this article, we present a computationally efficient algorithm that can be applied to a population with heterogeneous transmission rates. We conducted a simulation study to show that the algorithm is more efficient than other algorithms for sampling the disease transmission in a subset of the heterogeneous population. We use a valid stochastic model of pandemic influenza to illustrate the algorithm and to estimate the overall infection attack rates of influenza A (H1N1) in a Canadian city.     

Anderson's classification statistic based on a post-stratified training sample

The performance of Anderson's classification statistic based on a post-stratified random sample is examined. It is assumed that the training sample is a random sample from a stratified population consisting of two strata with unknown stratum weights. The sample is first segregated into the two strata by post-stratification. The unknown parameters for each of the two populations are then estimated and used in the construction of the plug-in discriminant. Under this procedure, it is shown that additional estimation of the stratum weight will not seriously affect the performance of Anderson's classification statistic. Furthermore, our discriminant enjoys a much higher efficiency than the procedure based on an unclassified sample from a mixture of normals investigated by Ganesalingam and McLachlan (1978).     

Inferences on regression coefficients in a regression model under heteroscedasticity and robustness with respect to departure from normality

In this paper we consider a simple linear regression model under heteroscedasticity and nonnormality. A statistical test for testing the regression coefficient is then derived by assuming normality for the random disturbances and by applying Welch's method. Some Monte Carlo studies are generated for assessing robustness of this test. By combining Tiku's robust procedure with the new test, a robust but more powerful test is developed.     

A simulation study of the nearest neighbour analysis method of papadakis

The relative performances of randomised block, balanced lattice squares and Papadakis nearest neighbour analyses were compared on two simulated fields whose soil heterogeneity profiles were generated, one with a few evenly spaced contours and the other with many unevenly spaced contours. Four levels of random error were generated to simulate different proportions of random error and soil heterogeneity. Dummy treatments, corresponding to 7 x 7 and 11 x 11 balanced lattice squares were applied to the fields. The results from simulated experiments showed an interaction of error mean square (EMS) between size of experiment (7 x 7, 11 x 11) and levels of soil heterogeneity in the lattice analyses, but no such interaction in the Papadakis analyses. The Papadakis EMS decreased as random error decreased but at a rate depending on the map andthe ratio of soil heterogeneity to random error.