An Examination of the Relationship Among High School Size,Social Capital,and Adolescents' Mathematics Achievement

In an effort to enhance both adolescents' social capital and increase achievement, public school districts across the United States have created small high schools. Using data derived from a longitudinal and nationally representative study of U.S. high school students, the Educational Longitudinal Study of 2002, results show that when adolescents' parents know their friends' parents math achievement is significantly predicted. This association, however, is nonsignificant when conditioned on standard measures of prior achievement and family background, among others. In addition, while this relationship is also strong and significant within small high schools, it, too, is eliminated when conditioned on select confounding variables. These findings are discussed in terms of current efforts to improve achievement through reductions in school size.     

The Effects of the Registration System on the Seasonality of Births: The Case of the Soviet Union

Scientists study seasonality in order to understand the effect of environmental, biological, and social factors on demographic events. Poor data quality can also affect seasonal variation in mortality and fertility statistics. The influence of error on seasonal data becomes crucial as researchers analyze timing and spacing of events in time-series analyses. In this study we examine the reported number of births by month in the Soviet Union for 1950, 1955, and 1958–85. The lowest number of births has typically occurred in December, and the highest in January. This seasonal pattern is not consistent with any plausible biological or behavioural explanation. It is probably an artifact of attributing births that actually occurred during the preceding December or earlier, to January. This implies that Soviet statistical practice has not followed the stated policy of attributing births to the period (day, month, year) in which they occur. A substantial reduction between the 1950s and 1985 in the December-January peak in reported births implies marked improvement in Soviet vital registration statistics. The Soviet case shows that characteristics of the registration system can impart a particular seasonal pattern to demographic data. It also shows that officially prescribed procedures are not always followed in data generation, even in centrally planned economies. Researchers should carefully examine the quality of seasonal data before concluding that the data reflect real variations in demographic behaviour.     

Diffusion of an Economic Development Policy Innovation: Explaining the International Spread of Casino Gambling

This study uses an event history analysis to examine the factors that lead to the adoption of casino gambling among 13 nations around the world. Specifically, measures of fiscal stress, economic development, tourism, religiosity, and income levels are tested for their relationship to national decisions to legalize casino gambling. This study found that economic development needs, as measured by general unemployment rates, were associated with the casino legalization decisions of national governments. Higher unemployment rates were more likely in the years that nations legalized casino gambling. Religiosity, measured by frequency of church attendance, was also found to be a significant barrier in legalization decisions. Measures of fiscal stress, tourism, and income levels were not found to have significant relationships with the legalization decisions. This is interesting because these factors are often cited in case studies, media reports, and the statements of politicians during legalization processes. This study points to the need for further research in several areas. Further exploration of potential explanatory variables and more appropriate measures of currently theorized factors is warranted. Another area for further research is the seeming contradictory findings of multiple statistical analyses and multiple anecdotal findings of the impacts of fiscal stress on the casino legalization decision.     

The problem of justification in social work

Abstract

In this paper we argue that the real test of professional social work practice is whether it can be plausibly, effectively and defensibly justified. Since the early 1950s social work in Australia has engaged in a strategy of professionalisation. This strategy and its implications were described by McDonald and Jones in 2000. This paper supports the concerns expressed. We argue that the way out of our profession's dilemma is by focusing on the problem of justification. The main questions addressed by McDonald and Jones appear to be: What is professional social work practice? Does the concept of professionalism serve us and our clients well now? What form should social work take in the future? Their answer is ‘that the “strategy of professionalisation”, as conventionally conceived by Australian social work, is no longer viable in the emerging milieu.’ We build on that answer by exploring the notion of justification in terms of the concepts Foundationalism, Coherentism and Reliabilism. We conclude by suggesting that the immediate task for social work in this new century is to solve the problem of justification.     

Correlational biases in mean response latency differences

Multifarious psychological constructs are indexed by the mean latency difference (MLD), the within-subject difference between mean response latency on two tasks. Two associations consistently emerge in mean latency data. Firstly, across subjects, mean latencies on distinct tasks are positively correlated. This correlation arises from individual differences in general rates of information processing that are a shared influence on response latency in diverse tasks. Secondly, across tasks, the mean and variance of mean latency are positively correlated. Compared to a simple task, a complex task has both a larger average mean latency and a larger variance of mean latency, across subjects. Taken together, these associations make the interpretation of the MLD problematic by biasing correlations between the MLD and (a) task mean latencies, (b) the average of the mean latencies, (c) external criteria, and (d) other MLDs. A variety of mean latency transformations were evaluated and, while they differed in their effectiveness, they did not satisfactorily rectify MLD biases. An alternative approach, focusing on scale invariant contrasts of within-subject response latency distributions, is introduced in the conclusion.     

Birth Outcome Measures and Infant Mortality

Recent studies have proposed alternative birth outcome measures as means of assessing infant mortality risk; nevertheless, there hasn’t yet been an integrated analysis of these approaches. We review 14 strategies, including various combinations of birth weight, gestational age, fetal growth rate, and Apgar scores—as predictors of early neonatal, late neonatal, and postneonatal mortality, and infant mortality. Using the NCHS linked birth/infant death file for 2001, we construct multivariate logit models and assess the associations between each of the 14 key birth outcome measures and four mortality outcomes. We find that all evaluated birth outcome measures are strong predictors, but Apgar scores are the strongest among all models for all outcomes, independent of birth weight and gestational age. Apgar scores’ predictive power is stronger for Mexican-, white-, and female-infants than for black- and male-infants. Second, all birth outcome measures remain significantly associated with mortality, but their predictive power reduces drastically over time. These findings suggest a rule of thumb for predicting infant mortality odds: when available, Apgar scores should always be included along with birth weight (or LBW status) and gestational age. Additionally, these findings argue for the continued study of low birthweight, gestational age, and Apgar scores as independently salient health outcomes.