Family and school capital explaining regional variation in math and reading achievement

We know that inequality varies by region and also begins early in life. Bivariate data suggest that 5–14-year-old children in the 1994 National Longitudinal Survey of Youth (NLSY) score differently in reading and mathematics achievement depending on their region, with children in the South and West scoring lower. We combine literatures on regional bases of inequality and family and school capital to generate hypotheses explaining these differences. Analyses of covariance provide supportive evidence. For both outcomes among boys, the variation is explained by additive models including family and child social and human capital, although selected aspects of school capital are also influential; these models also explain math achievement among girls. A model including both additive and interactive effects explains regional differences in reading achievement for girls. We interpret these findings in terms of their implications for studying inequality in child achievement as well as for emphasizing the importance of regional inequality, particularly beyond the South versus non-South distinction.     

After a Disaster: Lessons in Survey Methodology from Hurricane Katrina

In 2005, the National Science Foundation funded a number of projects to study the impact of Hurricane Katrina. The current article provides an overview of several research approaches used to conduct post-Katrina research. Each method had some advantages and disadvantages. The post-disaster context meant that experience from traditional survey methods often did not apply. Comparisons of advantages and disadvantages associated with each sampling method serve to inform future post-disaster research and illuminate the limits of classical research methods.     

Die Auswirkungen von Neid auf individuelle Leistungen: Ergebnisse einer Panelanalyse

Relative income differences are likely to lead to envy within a reference group. Envy in turn influences social behavior and individual performance. While positional concerns are apparent in daily life, empirical evidence is rare in the economic literature. This paper investigates the impact of the relative income position on individuals’ performance or productivity. As ?performance“ is difficult to measure we turn to soccer players whose performance has been well documented. The broad sample covers eight seasons of the German premier soccer league (Bundesliga) between 1995 and 2004, and includes 1040 players, a salary proxy and several performance variables. The results show that player performance is strongly affected by relative income position. A disadvantage in the relative income position reduces productivity. The larger the income differences within a team, the stronger are the effects of positional concern. Team composition also significantly affects behaviour.     

Incorporating quality into data envelopment analysis of nursing home performance: A case study

When using data envelopment analysis (DEA) as a benchmarking technique for nursing homes, it is essential to include measures of the quality of care. We survey applications where quality has been incorporated into DEA models and consider the concerns that arise when the results show that quality measures have been effectively ignored. Three modeling techniques are identified that address these concerns. Each of these techniques requires some input from management as to the proper emphasis to be placed on the quality aspect of performance. We report the results of a case study in which we apply these techniques to a DEA model of nursing home performance. We examine in depth not only the resulting efficiency scores, but also the benchmark sets and the weights given to the input and output measures. We find that two of the techniques are effective in insuring that DEA results discriminate between high and low quality performance.     

Tweeting democracy? Examining Twitter as an online public relations strategy for congressional campaigns’

Considering the integral relationship between public relations and democracy (Martinelli, 2011) coupled with the growing use of social media for democratic aims (Smith, 2011) the current study examines the effectiveness of Twitter as a public relations communications tool for congressional campaigns. Specifically, as a means of testing Twitter's effectiveness in informing and engaging voters, congressional candidate and political party Twitter use for all 435 U.S. House of Representatives races (N = 1284) are compared with 2010 election outcomes. Results indicate that candidates’ Twitter use significantly increased their odds of winning, controlling for incumbency and Party ID. Additionally, significant differences between incumbents’ and challengers’ Twitter use during the election cycle emerged, which has important implications for public relations practices aimed at achieving democratic outcomes.     

Principal Component Analysis of Fertility Changes: United States, 1950–1960

Abstract

Much of present theory and research concerning class and ethnicity overlooks or discounts the overlapping effects of these two social dimensions upon individual behavior and group structure. Gordon's ethclass is discussed as the most proximate attempt at a conceptual model which integrates the two. Hypotheses suggested by this scheme as it relates to multi-ethnic, highly stratified societies are discussed. It is suggested that the three variables of the ethclass—cultural behavior, primary group interaction, and group identification—be augmented by a status variable which will account for the effects of socially assigned ethnic and class identities.     

Block and Basu bivariate lifetime distribution in the presence of cure fraction

This paper presents estimates for the parameters included in the Block and Basu bivariate lifetime distributions in the presence of covariates and cure fraction, applied to analyze survival data when some individuals may never experience the event of interest and two lifetimes are associated with each unit. A Bayesian procedure is used to get point and confidence intervals for the unknown parameters. Posterior summaries of interest are obtained using standard Markov Chain Monte Carlo methods in rjags package for R software. An illustration of the proposed methodology is given for a Diabetic Retinopathy Study data set.     

Visual Sequence Learning in Infancy: Domain-General and Domain-Specific Associations with Language

Research suggests that non-linguistic sequence learning abilities are an important contributor to language development (Conway, Bauernschmidt, Huang, & Pisoni, 2010). The current study investigated visual sequence learning as a possible predictor of vocabulary development in infants. Fifty-eight 8.5-month-old infants were presented with a three-location spatiotemporal sequence of multi-colored geometric shapes. Early language skills were assessed using the MacArthur-Bates CDI. Analyses of children's reaction times to the stimuli suggest that the extent to which infants demonstrated learning was significantly correlated with their vocabulary comprehension at the time of test and with their gestural comprehension abilities 5 months later. These findings suggest that visual sequence learning may have both domain-general and domain-specific associations with language learning.     

论我国民间组织设立制度之完善

民间组织设立是公民的结社自由得以实现和民间组织成长兴盛的关键.我国现行的双重许可登记制度给民间组织设立设置了过高的门槛,使得大量民间组织无法合法设立,"强政府--弱社会"的格局并未改善,制度完善势在必行.政府对结社自由的限制必须坚持最低限度、法律保留、利益平衡和标准客观等基本原则,在此基础上提出的单一许可登记制兼顾了公民、民间组织、社会和国家的不同需要,有利于实现保障结社自由和限制结社自由的相对平衡,并由此促进国家与社会之间良性互动关系的形成.