Women's perceived stress and well-being following voluntary and involuntary relocation

This study investigated the relationship between voluntary and involuntary relocation and women's perceptions of stress and amount of control, as well as their satisfaction with personal well-being. Results indicated that involuntary movers felt significantly less control and had lower levels of satisfaction with the relationship with their spouses than did voluntary movers. Educational level and employment status were also explored in relation to the dependent variables. Women with high school/trade school education had significantly higher levels of perceived stress, feelings of less control, and lower levels of satisfaction with family life than women with more education.This paper was supported by the Colorado State University and University of Wyoming Experiment Stations and published as Scientific Series Paper No. 290.Paula P. Makowsky received her M.S. from Colorado State University. She is currently a Counselor, Catholic Social Services, Phoenix, AZ.Alicia Skinner Cook is a Professor, Department of Human Development & Family Studies, Colorado State University, Ft. Collins, CO 80523. Her research interests include grief and loss issues related to relocation. She received her Ph.D. from Arizona State University.Peggy S. Berger received her Ph.D. from Pennsylvania State University. She is an Associate Professor, Department of Consumer Science & Housing, Colorado State University, Ft. Collins, CO 80523. Her research interests include socioeconomic issues related to geographic mobility and to gender.Judith Powell received her Ed.D. from Oklahoma State University. She is a Professor, Child & Family Studies, and Head, Department of Home Economics, Division of Home Economics, University of Wyoming, Laramie, WY 82071. Her research interests include parent-child relations and effects of relocation on families.     

Enforcing women's rights through law

Because women have to be equal partners in development to insure its sustainability, the human rights of women must be foremost on development agendas. Ratification of and adherence to the Convention on the Elimination of All Forms of Discrimination Against Women (the Women's Convention) would be a powerful international tool in this regard. In various countries, progress towards legalizing rights for women is passing through a first stage which focusses on the protection of specific rights to a second stage in which sex is included as a prohibited ground of discrimination to a third stage which addresses the pervasive and structural nature of the violation of women's rights. It is expected that governments will renew their commitment to the Women's Convention at the Fourth World Conference on Women (WCW) and, thus, take more seriously their obligations to report progress and remove reservations. Regional initiatives, such as the Organization of American States' 1994 Convention on the Prevention, Punishment, and Eradication of Violence Against Women, can also be used to protect women's rights, and the application of national constitutions and domestic laws remains the first line of defence for women. Particular attention must be paid to laws which apply to property rights, nationality, equality within the family, reproductive and other health issues, and violence against women. The Draft Plan of Action prepared for the WCW challenges states to specify their plans to eliminate discrimination. While this Plan may prove to lack vision, women's nongovernmental organizations are playing a major role in accelerating the movement of international and domestic law towards justice for women.     

An Empirical Investigation of Information Search Strategies with Implications for Decision Support System Design

Understanding how people search through and combine information before making decisions is an important concern in the study of decision making and in the design of decision support systems (DSS). The purpose of this study is to examine DSS search strategies in relation to the body of empirical research on information load. Prior research is examined in relation to basic empirically-testable hypotheses and compared to the results of this study as a way of validating the procedures used here. The transfer of information load empirical research to a DSS scenario is confirmed statistically. Then, results of an analysis of information search patterns under DSS conditions are described. Finally, implications for DSS design are discussed in terms of possible search support mechanisms for specific search strategies.     

A robust pairwise likelihood method for incomplete longitudinal binary data arising in clusters

Clustered longitudinal data feature cross‐sectional associations within clusters, serial dependence within subjects, and associations between responses at different time points from different subjects within the same cluster. Generalized estimating equations are often used for inference with data of this sort since they do not require full specification of the response model. When data are incomplete, however, they require data to be missing completely at random unless inverse probability weights are introduced based on a model for the missing data process. The authors propose a robust approach for incomplete clustered longitudinal data using composite likelihood. Specifically, pairwise likelihood methods are described for conducting robust estimation with minimal model assumptions made. The authors also show that the resulting estimates remain valid for a wide variety of missing data problems including missing at random mechanisms and so in such cases there is no need to model the missing data process. In addition to describing the asymptotic properties of the resulting estimators, it is shown that the method performs well empirically through simulation studies for complete and incomplete data. Pairwise likelihood estimators are also compared with estimators obtained from inverse probability weighted alternating logistic regression. An application to data from the Waterloo Smoking Prevention Project is provided for illustration. The Canadian Journal of Statistics 39: 34–51; 2011 © 2010 Statistical Society of Canada     

Autonomy,Fairness and Active Relationships: Children's Experiences of Well‐being in Childcare

Researchers and policy‐makers are increasingly concerned with children's well‐being in Early Childhood Education and Care (ECEC) and Outside School Hours Care (OSHC) settings. Recent research identifies the value of using qualitative methods to understand children's experiences of well‐being in ECEC/OSHC, but there remain few such studies. This article presents findings from a child‐centric qualitative study with Australian children of nurses and police, which sought to understand their experiences of well‐being in ECEC/OSHC. Children's experiences of well‐being were shaped by parental relationships, how informed they were about the rationale for their care arrangements and the degree of age‐appropriate autonomy they experienced.     

Drawing the Line: An Exploratory Study of Single College Student Perceptions of Marital Boundaries in Opposite Sex Relationships

Marital boundary expectations among single young adults are examined within the context of gender and religiosity among a diverse single young adult sample (n = 422) consisting of college students residing in California, Utah, and Nebraska. Participants (ages 18–29, M = 22.42) completed an online survey and were given extra credit for their participation. The results show that these young adults tend to perceive the need for communication and gift-giving boundaries within the context of heterosexual marriages. Analyses also indicate a trend for women to have higher perceptions of marital boundaries than men and for religiosity (assessed in two different ways) to be linked with marital boundaries. Limitations and recommendations are discussed.     

The analysis of multivariate recurrent events with partially missing event types

In many clinical studies, subjects are at risk of experiencing more than one type of potentially recurrent event. In some situations, however, the occurrence of an event is observed, but the specific type is not determined. We consider the analysis of this type of incomplete data when the objectives are to summarize features of conditional intensity functions and associated treatment effects, and to study the association between different types of event. Here we describe a likelihood approach based on joint models for the multi-type recurrent events where parameter estimation is obtained from a Monte-Carlo EM algorithm. Simulation studies show that the proposed method gives unbiased estimators for regression coefficients and variance–covariance parameters, and the coverage probabilities of confidence intervals for regression coefficients are close to the nominal level. When the distribution of the frailty variable is misspecified, the method still provides estimators of the regression coefficients with good properties. The proposed method is applied to a motivating data set from an asthma study in which exacerbations were to be sub-typed by cellular analysis of sputum samples as eosinophilic or non-eosinophilic.