Social science data and the APA

The wisdom of the American Psychological Association's submitting amicus briefs to affect social or legal policy is questioned by an analysis of the brief claimed to be a strong example of the effective use of social science data in the public policy arena; namely, the APA brief (Bersoff & Ogden, 1987) inLockhart v. McCree (1986). The data relied upon in the brief do not appear to support the assertions based upon them, and other data are adduced to develop the critique. It is concluded that it is mischievous for the Association to address itself to the courts by generalizing a data base well beyond its useful limits: The adversarial and scientific methods of establishing truth are in several respects antithetical.     

A spatial analysis of county-level outcomes in US Presidential elections: 1988–2000

This paper identifies spatial patterns of county-level presidential election outcomes from 1988 to 2000, and tests the retrospective (reward–punishment) and issue–priority models of voting behavior within the context of county-level geographical clusters. Based on our spatial analyses, we find that: the geographical concentration of the partisan vote has increased at both the global and regional scales. Globally, counties have become more likely to be clustered with similar counties in terms of their partisan support. Regionally, Democrats have increasingly received more votes from the East and the urban areas than Republican candidates while the opposite is true in the West and the rural areas. The regression analyses also support aspects of the issue–priority model of voting behavior, while the retrospective theory is confirmed only for 1996.     

第三方警务与保险——以市场为基准的犯罪预防案例研判（上）

本文试图探讨一种新的发展趋势。即以市场为基准展开的犯罪预防。保险公司是该种新型犯罪预防模式的代表机构。尽管保险的传统关注点在于犯罪或其他灾难发生后所遭受的损失,我们在此将揭示保险业从反应型犯罪管理模式向主动型管理模式的转变。该种趋势是更广义上的“去中心化警务”（decentralization of policing）的一部分,即警务从国家控制的管理机构向以社区和市场为基准的第三方的转移。新的意识形态支持这种转变,包括针对犯罪的保险统计理念的更新和对谨慎之人看法的转变。     

Responsible and responsive knowing in medical diagnosis: the medical gaze revisited

The medical gaze has long been privileged over the voice of the patient as the source of medical knowledge, in western societies. The ontology (that is, the very existence) of symptoms invisible to scientific observation will thus tend to be questioned by medical professionals. Yet any gaze, even the medical one, is refracted through the lenses both of social‐cultural stereotypes and of gender, and its seeings are shaped by these refractions. In this article, two family physicians and an epistemologist examine certain “unexplained” disorders, in a conversation informed by a feminist perspective: they bring a feminist point of view to bear on these issues. Medically unexplained disorders, which occur most frequently in women, are disabling conditions for which objectively observable symptoms and/or scientific causal explanations are not available. The approach taken in this article makes some of the assumptions underlying clinical knowledge more clearly visible: the authors' conversation situates diagnostic activity in medicine as a gendered, power‐infused social interaction within a cultural context where the gold standard of medical knowledge is very narrowly set. The participants propose responsible and responsive knowing as alternative strategies for knowing well. As they are presented here, these strategies incorporate an awareness of the inherent uncertainty of medical knowledge, raise questions about those to whom the knower is accountable, acknowledge the patient's experiences, and attend to the potentially oppressive effects of expert knowing.     

Social Competence in Late Elementary School: Relationships to Parenting and Neighborhood Context

Despite evidence that neighborhoods confer both risk and resilience for youth development, the existing neighborhood research has a number of methodological limitations including lack of diversity in neighborhoods sampled and neighborhood characteristics assessed. The purpose of this study was to address these methodological limitations of existing research and to examine the relationship of neighborhood structural and social characteristics to family-level social processes and teacher-reported social competence during early adolescence. The study sample of 3,624 fifth graders (51?% girls) was ethnically diverse, including roughly even proportions of non-Hispanic White, non-Hispanic Black, and Hispanic youth. Neighborhood measures included economic disadvantage derived from the U.S. Census, physical and social disorder obtained by direct observation, and social capital from parental reports. Family-level social processes included parent reported family cohesion and youth reported maternal and paternal nurturance. We found that neighborhood factors significantly associated with youth social aggression and social competence but not social withdrawal, after controlling for individual demographic characteristics and parenting factors. There was limited evidence of moderation of family influences by neighborhood characteristics as well as the moderation of neighborhood effects by children’s gender. Neighborhood physical disorder was associated with increased social aggression among boys but with increased social withdrawal among girls. Implications of the study’s findings for research on neighborhoods and adolescent development and the development of preventive interventions are discussed.     

An Exploration of Religion and Education in the Life of Constance Maynard,Mistress of Westfield College

This article provides an overview of the motivation for digitising Maynard's writings, evaluates the benefits and challenges of reproducing and publishing archives, and considers the implications of greater digitisation. Maynard's writings reveal that she drew on her evangelical belief system as a means of protection and inspiration, and never overcame the concerns of early educationalists to maintain ‘decorum’ and ‘femininity’ in the management of the college. Published and unpublished sources are considered to review Maynard's decision to enter higher education, the inspiration for a Christian college for women, impact of contemporary arguments opposing education for women on Maynard and Westfield College, and Maynard's reaction to the development of a science faculty in the early twentieth century.     

Analyzing block randomized studies: the example of the Jersey City drug market analysis experiment

Objectives

While block randomized designs have become more common in place-based policing studies, there has been relatively little discussion of the assumptions employed and their implications for statistical analysis. Our paper seeks to illustrate these assumptions, and controversy regarding statistical approaches, in the context of one of the first block randomized studies in criminal justice—the Jersey City Drug Market Analysis Project (DMAP).

Methods

Using DMAP data, we show that there are multiple approaches that can be used in analyzing block randomized designs, and that those approaches will yield differing estimates of statistical significance. We develop outcomes using both models with and without interaction, and utilizing both Type I and Type III sums-of-squares approaches. We also examine the impacts of using randomization inference, an approach for estimating p values not based on approximations using normal distribution theory, to adjust for possible small N biases in estimating standard errors.

Results

The assumptions used for identifying the analytic approach produce a comparatively wide range of p values for the main DMAP program impacts on hot spots. Nonetheless, the overall conclusions drawn from our re-analysis remain consistent with the original analyses, albeit with more caution. Results were similar to the original analyses under different specifications supporting the identification of diffusion of benefits effects to nearby areas.

Conclusions

The major contribution of our article is to clarify statistical modeling in unbalanced block randomized studies. The introduction of blocking adds complexity to the models that are estimated, and care must be taken when including interaction effects in models, whether they are ANOVA models or regression models. Researchers need to recognize this complexity and provide transparent and alternative estimates of study outcomes.