Women and social security: a progressive approach

This article explores some major assumptions underlying the Social Security system and alternative approaches to rendering the system more economically viable, meeting the income needs of the elderly and/or providing greater equity under its benefit and taxation provisions. It attempts to show that the current structure of Social Security not only reinforces but also exacerbates the underlying economic inequalities in our nation's political economy under the guise of a social insurance program. In addressing selected benefit and taxation issues, the article focuses on how working and older women are faring in the 1990s under the Social Security system. It argues that although the program theoretically is gender neutral, its impact is not. Women, particularly those who are single, are poorly served. The article concludes that a progressive restructuring of the Social Security system itself is imperative if we are to meet the needs of a large percentage of workers, older people, and the economic and social demands of the 1990s and beyond. It also offers some suggestions for such change.     

Predicting marital satisfaction using prepare: a replication study*

This study clearly replicated the previous findings which demonstrated the predictive validity of PREPARE. Like the previous study, this longitudinal study was a 3-year follow-up of 179 couples who took PREPARE during their engagement. As in the initial longitudinal study, PREPARE predicted, with about 80% accuracy, couples who got divorced from those that were happily married. Also, the same linear trend in PREPARE scores was found (highest to lowest scores): happily married, unhappily married, cancelled/delayed marriage, and separated/divorced. This study further indicates the importance of the premarital period as the foundation for marriage and the ability of PREPARE to identify high-risk premarital couples who could benefit from premarital counseling. Premarital counseling could potentially help these high risk couples develop a more satisfying marriage.     

The United States should recognize and support caregiving youth

In the United States, more than 5.4 million children and adolescents under age 18 provide care for family members who are aging or have chronic illness, disability, or other health conditions that require assistance. In this policy report, we describe youth’s care for the family, and highlight the increasing prevalence, global challenges, and uneven successes of measurement and categorization. We briefly summarize research on how caregiving affects youth’s academic, social, and emotional well-being. Next, we present novel, emerging evidence from the public school-based 2019 Youth Risk Behavior Survey for the State of Florida, which suggests that as many as 24% of middle school students and 16% of high school students provide at least some care to the family on a regular basis. Drawing on this evidence, we discuss targeted social programs which have been shown to promote the well-being of caregiving youth outside of the United States, as well as a 13-year-old school-based intervention in The School District of Palm Beach County, Florida. We conclude with specific recommendations for a path toward recognizing and supporting caregiving youth via policy and practice in the United States. Our aim is to increase the awareness and feasibility of identifying and supporting caregiving youth and their families via government-organized data collection and targeted social policies.     

A RELATIONAL EVENT FRAMEWORK FOR SOCIAL ACTION

Social behavior over short time scales is frequently understood in terms of actions, which can be thought of as discrete events in which one individual emits a behavior directed at one or more other entities in his or her environment (possibly including himself or herself). Here, we introduce a highly flexible framework for modeling actions within social settings, which permits likelihood-based inference for behavioral mechanisms with complex dependence. Examples are given for the parameterization of base activity levels, recency, persistence, preferential attachment, transitive/cyclic interaction, and participation shifts within the relational event framework. Parameter estimation is discussed both for data in which an exact history of events is available, and for data in which only event sequences are known. The utility of the framework is illustrated via an application to dynamic modeling of responder radio communications during the early hours of the World Trade Center disaster.     

A comparison of two boxplot methods for detecting univariate outliers which adjust for sample size and asymmetry

It is important to identify outliers since inclusion, especially when using parametric methods, can cause distortion in the analysis and lead to erroneous conclusions. One of the easiest and most useful methods is based on the boxplot. This method is particularly appealing since it does not use any outliers in computing spread. Two methods, one by Carling and another by Schwertman and de Silva, adjust the boxplot method for sample size and skewness. In this paper, the two procedures are compared both theoretically and by Monte Carlo simulations. Simulations using both a symmetric distribution and an asymmetric distribution were performed on data sets with none, one, and several outliers. Based on the simulations, the Carling approach is superior in avoiding masking outliers, that is, the Carling method is less likely to overlook an outlier while the Schwertman and de Silva procedure is much better at reducing swamping, that is, misclassifying an observation as an outlier. Carling’s method is to the Schwertman and de Silva procedure as comparisonwise versus experimentwise error rate is for multiple comparisons. The two methods, rather than being competitors, appear to complement each other. Used in tandem they provide the data analyst a more complete prospective for identifying possible outliers.     

The self-assessed literacy index: Reliability and validity

Literacy is associated with many outcomes of research interest as well as with respondents’ ability to even participate in surveys, yet very few surveys attempt to measure it because doing so is often complex, requiring extensive tests. The central goal of this paper is to develop a parsimonious measure of respondents’ reading ability that does not require a complex literacy test. We use data from the 2003 National Assessment of Adult Literacy to identify correlates of reading ability to form a literacy index. These correlates include self-assessments of one’s ability to understand, read and write English, and literacy practices at home. Our literacy index reliably discerns literacy test scores above educational attainment, and the index shows high internal consistency (coefficient alpha = 0.78) and validity. The paper concludes with implications of these findings for survey research practitioners and suggestions for future research.     

Petropolis: a social history of urban animal companions

This essay provides an overview of the argument and scope of an exhibition, “Petropolis: A Social History of Urban Animal Companions” (15 July to 9 November 2003), curated by the authors for the New-York Historical Society. The visual history of pets in New York City from the 18th century to the present reveals a great deal about the changing relationships between humans and animals as the city became increasingly urbanized and industrialized and as the city came to have its dramatic mix of people drawn from many races, ethnicities and social classes. The exhibition shows a remarkable diversity of animals participating in domestic and in public city life, proving that the social history of New York City really cannot be told without including companion animals as actors and objects in that history.