Reconceptualizing the Role of Conformity Behaviors in Family Communication Patterns Theory

Family communication patterns theory is one of the most influential theories in the field of family communication. The current article examines the construct of conformity, arguing that current conceptualizations of conformity paint this behavior as largely a negative familial element. Instead, this research argues for the concept of warm conformity behavior, where parents communicate their ideas in ways that promote warmth and closeness rather than just adherence to hierarchy and rules. This move does not add to the two dimensions of the theory, but rather speaks to the different ways in which parents might communicate the dimension of conformity to their child. To further this idea, our article includes a series of three studies designed to create and validate new measures of warm and cold conformity. Overall, the studies found general support for the validity of the scales. Implications and directions for future research are discussed.     

Local Box–Cox transformation on time-varying parametric models for smoothing estimation of conditional CDF with longitudinal data

Nonparametric estimation and inferences of conditional distribution functions with longitudinal data have important applications in biomedical studies, such as epidemiological studies and longitudinal clinical trials. Estimation approaches without any structural assumptions may lead to inadequate and numerically unstable estimators in practice. We propose in this paper a nonparametric approach based on time-varying parametric models for estimating the conditional distribution functions with a longitudinal sample. Our model assumes that the conditional distribution of the outcome variable at each given time point can be approximated by a parametric model after local Box–Cox transformation. Our estimation is based on a two-step smoothing method, in which we first obtain the raw estimators of the conditional distribution functions at a set of disjoint time points, and then compute the final estimators at any time by smoothing the raw estimators. Applications of our two-step estimation method have been demonstrated through a large epidemiological study of childhood growth and blood pressure. Finite sample properties of our procedures are investigated through a simulation study. Application and simulation results show that smoothing estimation from time-variant parametric models outperforms the existing kernel smoothing estimator by producing narrower pointwise bootstrap confidence band and smaller root mean squared error.     

Optimal direction Gibbs sampler for truncated multivariate normal distributions

Generalized Gibbs samplers simulate from any direction, not necessarily limited to the coordinate directions of the parameters of the objective function. We study how to optimally choose such directions in a random scan Gibbs sampler setting. We consider that optimal directions will be those that minimize the Kullback–Leibler divergence of two Markov chain Monte Carlo steps. Two distributions over direction are proposed for the multivariate Normal objective function. The resulting algorithms are used to simulate from a truncated multivariate Normal distribution, and the performance of our algorithms is compared with the performance of two algorithms based on the Gibbs sampler.     

CHANGING CHARACTERISTICS OF WOMEN ON LOCAL GOVERNMENT COUNCILS IN AUSTRALIA: 1982 – 1993

Between 1982 and 1993 the number of women serving on local government councils, the political arena in which women have been most successful, more than doubled. Data from two Australia wide surveys, one in 1982, the other in 1993, indicate that in the period between the two studies there were also some significant changes in the characteristics of women entering local government, with the 1993 respondents better educated and more likely to be in the paid workforce than their earlier counterparts. Some aspects of the commonly held stereotype of female councillors as middle aged, middle class housewives with adult children are challenged by these data, particularly with respect to workforce participation. While this indicates that female councillors are in some ways more heterogeneous than the stereotype suggests, their characteristics remain unrepresentative of those of many women in the community. This paper attempts to provide a picture of women who serve on local government councils, drawing on survey data collected Australia wide in 1982 and 1993. It examines the extent to which the characteristics of female councillors have changed over the period between the two surveys and the extent to which these women conform to the commonly held stereotype of women in local government, and considers the relevance of this to the issue of representation.     

A methodology for connecting user centered design (UCD) with eco-design. The possibility of migration of products to services based on the user acceptance

The consumer products generation is one of the main engines that fuel the planet's environmental problems, reduction of environmental impacts associated with the products has been studied from various aspects between them, the supply of products for public consumption instead of private, seeking to meet the needs of the community by establishing programs for sharing single product. It has been detected a problematic issues linked to this strategy, where the user acceptance of this new way of living together with the products must be achieved. The arguments here presented seek to identify user perception of such proposals and their possible acceptance throughout strategies from the User Centered Design (UCD).     

Variance estimation for two‐phase stratified sampling

The authors consider variance estimation for the generalized regression estimator in a two‐phase context when the first‐phase sample has been restratified using information gathered from the first‐phase sample. Simple computational expressions for variance estimation are provided for the double expansion estimator and the reweighted expansion estimator of Kott & Stukel (1997). These estimators are compared using data from the Canadian Retail Commodity Survey.     

Differences in drinking expectancies and motives for regular education and special education high school students with emotional/behavioral disorders

Alcohol expectancies and drinking motives were compared for regular education students (n=159) and students with emotional/behavioral disorders (EBD) receiving special education services (n=51). Differences existed between groups with respect to expected negative social consequences and emotional and physical outcomes associated with drinking. Across groups, drinkers reported more positive alcohol expectancies than non-drinkers, while non-drinkers reported more negative alcohol expectancies than drinkers. Differences also existed between the regular education and EBD students who drank with respect to coping, conformity, and social motives. Accounting for sample sizes differences, the relationship between alcohol use and negative physical effect was stronger for regular education students, while the relationship between alcohol use and conformity motives was stronger for the EBD group.