Generic Processes in Aligning the Multiple Bases of Identity: The Case of Becoming a Ministry Student

Identity theory distinguishes three bases of identity—role, group, and person—but studies have typically focused on one identity at a time. The interrelationship among the multiple bases of identity remains understudied. This study examines the multiple bases of identity individuals engage on their way to becoming ministry students. The results reveal the advantage of examining the multiple bases of identity as subcultural processes, the utility of qualitative research for expanding the empirical scope of identity theory, and the possibility of employing structural symbolic interactionist concepts within a processual symbolic interactionist agenda.     

The Development of Peer Interaction in Infancy: Exploring the Dyadic Processes

Peer interaction is an important component of children's social repertoires that is associated with a variety of developmental outcomes and life skills. The present study provides an in‐depth study of early dyadic peer behaviors during the infancy period, during which social competence with peers is first being developed. Results from variable‐centered analyses highlight the effectiveness of behaviors, such as offering objects to peers, and point to the importance of the social context set by a peer's prior social behavior and processes for eliciting peer responses. Findings from person‐centered analyses reveal marked individual differences in the processes through which infants are successful in eliciting responses from their peers, illustrating the presence of multiple pathways to achieving social competence with peers.     

A perspective of composite sampling

Composite samples are formed by physically mixing samples. Usually, composite samples are used to reduce the overall cost associated with analytical procedures that must be performed on each sample, but they can also be used to protect the privacy of individuals.

Composite sampling can reduce the cost of identifying individual cases that have a certain trait, such as those with a rare disease or those exceeding pollution-level standards. Not much is lost by applying this method as long as the trait is relatively rare.

Composite sampling can reduce the cost of estimating the mean of some process. When samples are composited, the ability to estimate the variance is lost. In spite of this, the potential savings are so great that composite samples have been used.

Much of this paper deasl with the variance of estimators based on composite sampling when the porportions of hte original samples comprising the composite sample are actually random. Taking repeated samples and measurements on several composite samples complicates the prodcedure, but allows the estimation of between and within variation as well as measurement error.     

Who speaks and how? Studies of voicing in the China Daily following a decade of change

This study used critical discourse analysis (CDA) to identify and unpick some of the ideas, beliefs, and attitudes encoded in newspaper texts without being explicitly stated. It uses a quantitative-qualitative approach to content analysis to compare articles published in the Chinese government-owned, English-language newspaper the China Daily in 1998 (n = 50) and 2010 (n = 50). The analysis focused on two things: the people considered by China Daily journalists to be important/interesting enough to be quoted and (through an analysis of Halliday's verbal processes) how these people's words are presented. The aim was to demonstrate the effectiveness of the approach advocated and to see whether such an approach can help answer how much the media in China has changed in response to changing times.     

Organizational Sustainability and Systemic Boundary Processes

Abstract

Every day, managers work to sustain the organizations wherein they work. In this article, the authors examine certain systemic boundary processes that are intrinsic to organizations and their sustainability. For readers of this journal, whose name points to the inherent connection between organizations and society, the authors present an argument that organizational boundary processes and their influence on organizational sustainability are important considerations for those of us interested in a viable future for our society. The importance of these processes for managers also is indicated.     

Dependence function for continuous bivariate densities

The notion of cross-product ratio for discrete two-way contingency table is extended to the case of continuous bivariate densities. This results in the “local dependence function” that measues the margin-free dependence between bivariate random variables. Properties and examples of the dependence function are discussed. The bivariate normal density plays a special role since it has constant dependence. Continuous bivariate densities can be constructed by specifying the dependence function along with two marginals in analogy to the construction of two-way contingency tables given marginals and patterns of interaction. The dependence function provides a partial ordering on bivariate dependence.     

A nonparametric bayesian approach to analysis of drug dependence data

In this paper, a nonparametric Bayesian approach to the analysis of binary response data is considered. Using a Dirichlet process prior, and squared error loss, the Bayes estimators of response probabilities are obtained. Finally, the results obtained are employed to analyze the ARC 090 Trial data.     

Bayesian autoregressive spectral analysis

The article describes an operational Bayesian approach to making inferences for the spectral density function for univariate autoregressive processes and for the AR operator of multivariate autoregressive processes. The derivation of the approach is described. Numerical examples, including the Wolfer Sunspot numbers, are used to demonstrate the practical usefulness of the approach.