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.     

Qdf misclassification probabilities for known population parameters

Approximated QDF misclassification probabilities have been derived for bivariate normal populations with known parameter values. Tne effect of unequal covariances and population distance on the misclassification probabilities are examined     

On the Complex Quantification of Risk: Systems‐Based Perspective on Terrorism

This article highlights the complexity of the quantification of the multidimensional risk function, develops five systems‐based premises on quantifying the risk of terrorism to a threatened system, and advocates the quantification of vulnerability and resilience through the states of the system. The five premises are: (i) There exists interdependence between a specific threat to a system by terrorist networks and the states of the targeted system, as represented through the system's vulnerability, resilience, and criticality‐impact. (ii) A specific threat, its probability, its timing, the states of the targeted system, and the probability of consequences can be interdependent. (iii) The two questions in the risk assessment process: “What is the likelihood?” and “What are the consequences?” can be interdependent. (iv) Risk management policy options can reduce both the likelihood of a threat to a targeted system and the associated likelihood of consequences by changing the states (including both vulnerability and resilience) of the system. (v) The quantification of risk to a vulnerable system from a specific threat must be built on a systemic and repeatable modeling process, by recognizing that the states of the system constitute an essential step to construct quantitative metrics of the consequences based on intelligence gathering, expert evidence, and other qualitative information. The fact that the states of all systems are functions of time (among other variables) makes the time frame pivotal in each component of the process of risk assessment, management, and communication. Thus, risk to a system, caused by an initiating event (e.g., a threat) is a multidimensional function of the specific threat, its probability and time frame, the states of the system (representing vulnerability and resilience), and the probabilistic multidimensional consequences.     

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.     

Diagnostic checks for discrete data regression models using posterior predictive simulations

Model checking with discrete data regressions can be difficult because the usual methods such as residual plots have complicated reference distributions that depend on the parameters in the model. Posterior predictive checks have been proposed as a Bayesian way to average the results of goodness-of-fit tests in the presence of uncertainty in estimation of the parameters. We try this approach using a variety of discrepancy variables for generalized linear models fitted to a historical data set on behavioural learning. We then discuss the general applicability of our findings in the context of a recent applied example on which we have worked. We find that the following discrepancy variables work well, in the sense of being easy to interpret and sensitive to important model failures: structured displays of the entire data set, general discrepancy variables based on plots of binned or smoothed residuals versus predictors and specific discrepancy variables created on the basis of the particular concerns arising in an application. Plots of binned residuals are especially easy to use because their predictive distributions under the model are sufficiently simple that model checks can often be made implicitly. The following discrepancy variables did not work well: scatterplots of latent residuals defined from an underlying continuous model and quantile–quantile plots of these residuals.     

Race,Rural Residence,and Wildland Visitation: Examining the Influence of Sociocultural Meaning1

Abstract Previous studies have shown that African Americans have less favorable impressions about wildlands and recreate on wildland areas less frequently than do whites. However, most of these investigations have been conducted on non-rural populations. Rural perceptions of wildlands and visitation to such areas have received relatively little attention. In this exploratory study, we propose that race operates on wildland recreation visitation through the different meanings rural blacks and whites attribute to wildlands. We examine this hypothesis with a structural model which specifies wildland meaning as an intervening factor between race and visitation. Single equation results show blacks visit wildlands less, and have less favorable definitions of wildlands, compared to whites. However, when wildland meaning is included in the structural model, racial differences become insignificant. This suggests that the meanings different racial groups attach to wildlands help explain visitation. Both sex and age are also significant predictors of both wildland meaning and visitation.     

On model life tables]

A comparative study and detailed analysis of various standard model life tables are presented. After examining the development of various methods by which demographic factors and weighting techniques are applied, the reasons for the existence of vast discrepancies among the model life tables for various world regions are discussed. It is argued that the 1955 UN model life tables and others developed in Europe and in the United States theoretically apply to Western populations, thus the so-called Chilean, Far East, Southern Asia, and Latin American models, all of which are extensions of Western models, are not totally applicable. Nonetheless, it is concluded that the UN's model population tables 90, 95, and 100 (published in 1955) closely approximate China's 1982 census statistics for life expectancy.     

Improvement of Highway Safety I: Identification of Causal Factors Through Fault-Tree Modeling1

As the first article of a two-part series, the purpose of this paper is to examine the functional factors that contribute to automobile accident occurrence and to model the causation structure in the form of a fault-tree. The fault-tree model provides an intuitive framework for qualitatively decomposing possible pathways to accident occurrence. Fault-tree analysis also provides a statistical representation of how interacting driver, vehicle, and environmental factors contribute to the likelihood of automobile accident occurrence. The application of this model facilitates pinpointing those factors that most contribute to accident causation and subsequently enables the identification and comparison of potential crash avoidance technologies.