The Role of Pre-collegiate Partnership Programs in Environments Ambivalent about Affirmative Action: Reflections and Outcomes from an Early Implementation

Preparing underrepresented students for college success though pre-collegiate partnership programs is one alternative to affirmative action programs. This article describes the Multicultural Excellence Program (MEP), a partnership program between an urban school district and 22 four-year higher education institutions. MEP, begun in 1987, targets 7th–12th-grade students from groups historically underrepresented in higher education. It helps them plan how to prepare themselves for continuing on to a four-year college. Analyses evaluating program effectiveness examined outcomes of over 4,000 secondary students and 243 college students. Despite substantial turnover, particularly at transition points, MEP has been very successful in enrolling its high school graduates immediately in four-year colleges. Although many MEP students have thrived in college, a smaller proportion has struggled.     

Asymptotic expansions of the null distributions of some test statistics for profile analysis in general distributions

This paper discusses asymptotic expansions for the null distributions of some test statistics for profile analysis under non-normality. It is known that the null distributions of these statistics converge to chi-square distribution under normality [Siotani, M., 1956. On the distributions of the Hotelling's T²$T^2$-statistics. Ann. Inst. Statist. Math. Tokyo 8, 1–14; Siotani, M., 1971. An asymptotic expansion of the non-null distributions of Hotelling's generalized T²$T^2$-statistic. Ann. Math. Statist. 42, 560–571]. We extend this result by obtaining asymptotic expansions under general distributions. Moreover, the effect of non-normality is also considered. In order to obtain all the results, we make use of matrix manipulations such as direct products and symmetric tensor, rather than usual elementwise tensor notation.     

Posterior Odds with a Generalized Hyper-g-Prior

Averaged orthogonal rotations of Zellner's g-prior yield general, interpretable, closed form Bayes factors for the normal linear model variable selection problem. Coupled with a model space prior that balances the weight between the identifiable and the unidentifiable models, limiting forms for the posterior odds ratios are seen to yield new expressions for high dimensional model choice.     

Disparities in Educational Opportunities and Outcomes: What Do We Know and What Can We Do?

This article examines disparities based upon poverty and race/ethnicity. After framing the issues by looking at national, state, and local data, it illustrates ways that social scientists can be involved in shaping educational practices and policies, focusing on the types of skills that are useful and on ways of thinking about the types of collaboration that are needed. Skills discussed are methodological as well as substantive; both types draw from existing knowledge bases. For collaboration, the model described is that of action research. Approaches are illustrated through personal examples drawn from collaborations with urban public schools. They include defining expected growth for students at different achievement levels, school accountability issues, and setting up long-term collaboration .