"In My Opinion . . .": Justices' Opinion Writing in the U.S. Supreme Court, 1946–1997

Objectives . We develop hypotheses to explain the opinion writing by justices on the U.S. Supreme Court from 1946–1997. Methods . We use data from the U.S. Supreme Court Database, Phases I and II, to examine the proportion of cases in which a justice writes an opinion each term as well as the differences between writing majority, dissenting, and concurring opinions. OLS regression with robust standard errors is the estimation procedure. Results . We find that a justice's position as Chief Justice, professional and education background, reputation ranking, and tenure on the Court can explain a justice's opinion writing. At the same time, we discover that particular variables have different affects on writing majority, dissenting, or concurring opinions. Conclusions . This study demonstrates the importance of both structural and personal background variables in explaining judicial behavior. It also shows the importance of analyzing different kinds of judicial opinions when explaining the justices' opinion writing.     

Combinatorial analysis of the adaptive last particle method

The adaptive last particle method is a simple and interesting alternative in the class of general splitting algorithms for estimating tail distributions. We consider this algorithm in the space of trajectories and for general reaction coordinates. Using a combinatorial approach in discrete state spaces, we demonstrate two new results. First, we are able to give the exact expression of the distribution of the number of iterations in an perfect version of the algorithm where trajectories are i.i.d. This result is an improvement of previous known results when the cumulative distribution function has discontinuities. Second, we show that an effective computational version of the algorithm where trajectories are no more i.i.d. follows the same statistics than the idealized version when the reaction coordinate is the committor function.     

Point of engagement: reducing disproportionality and improving child and family outcomes

This paper describes an innovative service delivery model to reduce the number of children entering the child welfare system. Point of Engagement (POE) is a collaborative family- and community-centered approach initiated in Compton, a regional office in Los Angeles County that serves south Los Angeles, a predominantly African American and Hispanic/Latino area. Over the past two years, the POE has been implemented in the Compton area by providing more thorough investigations, engaging families, and delivering needed services to children and families within their homes and communities. POE has demonstrated a reduction in the number of children removed from their families, an increase in the number of children returned to their families within one year, and an increase in the number of children finding legal permanency.     

The relationship between pedometer-determined and self-reported physical activity and body composition variables in college-aged men and women

Pedometer-determined physical activity (PA) is inversely related to body composition in middle-aged adults; however, researchers have not established such a relationship in college students. OBJECTIVE AND PARTICIPANTS: In this study, the authors attempted to characterize PA and examine its relationship with body composition in undergraduate college students (N = 88). METHODS: The authors measured the BC of 44 women (M age = 21 +/- 1 year, M body mass index [BMI] = 23.9 +/- 4 kg/m2) and 44 men (M age = 22 +/- 1 year, BMI = 26.9 +/- 0.9 kg/m2); participants also wore a pedometer for 7 days and completed a PA questionnaire. RESULTS: Men averaged significantly more steps/day (10,027 +/- 3,535) than did women (8,610 +/- 2,252). For women only, the authors observed significant correlations between steps/day and body composition variables. Men reported engaging in vigorous PA significantly more often than did women. CONCLUSIONS: These findings indicate that men engage in PA more often but that PA is related to body composition only in women. In addition, there is better agreement between pedometer-measured and self-reported PA in college-aged men than women.     

Perceived continuing education needs and job relevance of health education competencies among health education and promotion practitioners in college health settings

Objective and Participants: The author conducted this study to determine college health education and promotion practitioners' perceived continuing education needs and perceived job relevance in relation to national health education responsibilities and competencies. Methods: In Spring 2006, the author invited college health education and promotion professionals to participate in an online survey, using 3 listservs. Of 276 individuals visiting the Web site, 141 participants completed the survey (51%). Participants rated their perceived training needs and job relevance for the 35 National Commission for Health Education Credentialing (NCHEC) competencies as well as preferred training formats. Results: Participants identified the following competencies as those in which they needed additional training: designing data-collection instruments, securing fiscal resources, interpreting evaluation and research results, carrying out evaluation and research plans, and developing plans for evaluation and research. They identified the following competencies as being the most relevant to their jobs: demonstrating a variety of skills in delivering strategies, interventions, and programs; using a variety of methods to implement strategies, interventions, and programs; initiating a plan of action; and using health-related information resources. The most preferred methods of obtaining additional continuing education were attending the American College Health Association annual meeting (67%) and completing home self-study print materials (67%). Conclusions: Collegiate professional organizations should offer a variety of continuing education opportunities centering on NCHEC competencies, specifically those perceived as needed by study participants.     

Adolescent Adjustment and Patterns of Parents' Behaviors in Early and Middle Adolescence

In this study, we identified unique clusters of parenting behaviors based on parents' school involvement, community involvement, rule‐setting, and cognitive stimulation with data from the Panel Study of Income Dynamics—Child Development Supplement. In early (n=668) and middle adolescence (n=634), parents who provided high cognitive stimulation (i.e., cognitive enrichment parents) or engaged in all parenting behaviors (i.e., engaged parents) had the highest family income, parent education, and percentage of European Americans. Adolescents of cognitive enrichment or engaged parents often evidenced the highest academic and social adjustment. Adolescents whose parents set a large number of rules (i.e., “Rule setters”) or were also heavily involved in the community (i.e., the “Managers” cluster) had the lowest adjustment.     

Managing demographic change and diversity in organizations: how feedback from coworkers moderates the relationship between age and innovative work behavior

In a field study of 211 employees of a midsized German high-tech company, useful feedback from coworkers was examined as a moderator of the relationship between age and supervisor ratings of radical innovative work behavior. When employees perceived higher levels of useful feedback from their coworkers, the relationship between age and radical innovative work behavior followed an inverted U-shape. This inverted U-shaped relationship was decreasingly manifested as the level of perceived useful feedback from coworkers dropped. Given demographic change and the aging of the workforce of many organizations, this finding broadens the still fragmentary knowledge of the conditions under which aging is likely to have more or less positive effects on innovative work behavior. The authors discuss the theoretical and practical implications of these results on both the individual and the team level of analysis.     

Modified mantel-haenszel procedures for matched pairs

In the prospective study of a finely stratified population, one individual from each stratum is chosen at random for the “treatment” group and one for the “non-treatment” group. For each individual the probability of failure is a logistic function of parameters designating the stratum, the treatment and a covariate. Uniformly most powerful unbiased tests for the treatment effect are given. These tests are generally cumbersome but, if the covariate is dichotomous, the tests and confidence intervals are simple. Readily usable (but non-optimal) tests are also proposed for poly-tomous covariates and factorial designs. These are then adapted to retrospective studies (in which one “success” and one “failure” per stratum are sampled). Tests for retrospective studies with a continuous “treatment” score are also proposed.     

Bayesian Analysis of Stochastic Volatility Models

New techniques for the analysis of stochastic volatility models in which the logarithm of conditional variance follows an autoregressive model are developed. A cyclic Metropolis algorithm is used to construct a Markov-chain simulation tool. Simulations from this Markov chain converge in distribution to draws from the posterior distribution enabling exact finite-sample inference. The exact solution to the filtering/smoothing problem of inferring about the unobserved variance states is a by-product of our Markov-chain method. In addition, multistep-ahead predictive densities can be constructed that reflect both inherent model variability and parameter uncertainty. We illustrate our method by analyzing both daily and weekly data on stock returns and exchange rates. Sampling experiments are conducted to compare the performance of Bayes estimators to method of moments and quasi-maximum likelihood estimators proposed in the literature. In both parameter estimation and filtering, the Bayes estimators outperform these other approaches.