Recent European fertility patterns: Fitting curves to ‘distorted’ distributions

Recent patterns of fertility in Europe show marked differences between countries. Recent United Kingdom and Irish fertility curves show ‘distortions’ in terms of a ‘bulge’ in early age fertility, distinct from the smoother curves of other European countries. These patterns may not be adequately described by mathematical functions used by previous studies to model fertility curves. A mixture model with two component distributions may be more appropriate. The suitability of the simple and mixture Hadwiger functions is examined in relation to the fertility curves of a number of European countries. While the simple Hadwiger model fits recent period age-specific fertility distributions for some countries, others which display a ‘bulge’ in early age fertility require a mixture Hadwiger model. Some of the parameters of the Hadwiger models appear to be related to familiar demographic indices. The simple and mixture Hadwiger models appear useful in describing and comparing fertility patterns across European countries.     

DESENSITIZING HERBERT BLUMER'S WORK ON RACE RELATIONS

Recent applications of Herbert Blumer's group position model to the study of contemporary race prejudice have misrepresented the ongoing process of definition and accommodation that, according to Blumer, mediates race relations. By conforming to the canons of research design and using standard sample surveys, public opinion polls, variables analysis, and statistical techniques to study perceptions of group threat, group hostility, and prejudicial attitudes, Blumer's dynamic social imagery, as well as the socially grounded methodology he sought to promote, are undermined. The result is a static depiction of race relations that has nothing to do with the variegated experiential complexities that Blumer claimed underlie all human group life.     

Lack of reciprocity among Dutch teachers: Validation of reciprocity indices and their relation to stress and well-being

This research presents the results of two related studies on the convergent and construct validity of three measures of reciprocity in exchange relationships at work. In Study 1, 71 Dutch teachers were interviewed about their specific investments and outcomes in the exchange relationships with their students, colleagues and school. ANOVA revealed that they reported significantly more investments than outcomes, and that the number of reported investments and outcomes mentioned varied as a function of the type of exchange relationship. Building on these results, multi-item scales were created to assess reciprocity at a detailed level for each of the three exchange relationships. Study 2 validated these specific reciprocity measures by relating them to two global assessments of reciprocity (convergent validity) as well as to measures of job stress and well-being (construct validity). LISREL-analysis of data obtained from a further sample of 224 teachers revealed that for each type of exchange relationship there were significant, consistent and meaningful relationships among the three reciprocity measures. Further, hierarchical regression analysis showed that the reciprocity measures were differentially related to job stressors and measures of well-being. Implications are discussed.     

Developing From Tranditional Microscale Chemistry to Microscale Green Chemistry

Microscale chemistry is appealing to all levels of education.In contrast to conventional macroscale chemistry,only minute amount of chemicals are required to undertaking a chemical investigation.     

Book Reviews and Notes

Although student deliberation of public issues is recognized as a vital component of democratic education, little research focuses on the range of perspectives available to students during such deliberation. Social justice and legitimacy demand a wide range of inclusion, choices, and perspectives during student deliberation. This article contrasts soft versus deliberative democratic education, where the range of perspectives is correspondingly narrow or broad. Unfortunately, research shows that social studies textbooks promote soft democratic education by privileging dominant cultural representations, ideologies, and metanarratives of American exceptionality. This article presents content analysis as a method for identifying the range of civic and cultural perspectives in curricula. Once these perspectives are identified, social studies educators can revise curricula to increase inclusion and strengthen student deliberation. To illustrate this method, the author examines two sets of instructional materials. While on opposite opposite sides of the ideological spectrum, the sets are similar in their narrow range of perspectives concerning controversial public issues.     

Social Distress Theory and Teaching About Homelessness: A Retrospective Analysis

This paper provides a retrospective analysis of our course:“Hamelessness in the United States: An Interdisciplinary Approach.” It analyzes how such a course reveals social distress on two distinct levels: course content and course process. We deploy the concepts, tenets and insights of social distress theory to provide a retrospective analytical framework for the course. In addition, we extend the theory by presenting two corollaries to it and show how the literature on homelessness provides alternative connections among the major elements ofsocial distress theory. Thus, we raise new questions for the theory to consider. We also make recommendations for potential teachers of courses on homelessness.     

Effect of systematic sampling on arima models

Given a general homogeneous non-stationary autoregressive integrated moving average process ARIMA(p,d,q), the corresponding model for the subseries obtained by a systematic sampling is derived. The article then shows that the sampled subseries approaches approximately to an integrated moving average process IMA(d,l), l≤(d-l), regardless of the autoregressive and moving average structures in the original series. In particular, the sampled subseries from an ARIMA (p,l,q) process approaches approximately to a simple random walk model.