Relation between ITPA average deviation and Stanford-Binet intelligence scores

The relation between average deviation, as determined using the Illinois Test of Psycholinguistic Abilities, and Stanford-Binet intelligence scores was examined using a preschool sample. The results revealed a curvilinear (quadratic) relation between total average deviation and Stanford-Binet intelligence scores. The use of average deviation as an index of “learning disabilities” was discussed.     

A dynamic decision model for portfolio investment and assets management

This paper addresses a dynamic portfolio investment problem. It discusses how we can dynamically choose candidate assets, achieve the possible maximum revenue and reduce the risk to the minimum level. The paper generalizes Markowitz's portfolio selection theory and Sharpe's rule for investment decision. An analytical solution is presented to show how an institutional or individual investor can combine Markowitz's portfolio selection theory, generalized Sharpe's rule and Value-at-Risk(VaR) to find candidate assets and optimal level of position sizes for investment (dis-investment). The result shows that the generalized Markowitz's portfolio selection theory and generalized Sharpe's rule improve decision making for investment.     

Predicting transition and adjustment to college: biomedical and behavioral science aspirants’ and minority students’ first year of college

The purpose of this study is to explore key factors that impact the college transition of aspiring underrepresented minority students in the biomedical and behavioral sciences, in comparison with White, Asian students and non-science minority students. We examined successful management of the academic environment and sense of belonging during the first college year. Longitudinal data were derived from the Higher Education Research Institute’s (HERI) 2004 Cooperative Institutional Research Program (CIRP) Freshman Survey and the 2005 Your First College Year (YFCY) Survey. Using a reformulation of the integration model (Nora, Barlow, and Crisp, 2005), we find concerns about college financing, negotiating family support and responsibility, and campus racial dynamics (perceived and behavioral) affect student adjustment and sense of integration in the first year. This study was made possible by the support of the National Institute of General Medical Sciences, NIH Grant Number 1 RO1 GMO71968-01. This independent research and the views expressed here do not indicate endorsement by the sponsor.     

Breaking the tyranny of office hours: Overcoming professor avoidance

ABSTRACT

Studies have found that Faculty–Student Interaction (FSI) has many positive benefits for students including academic support, professional development, mentoring, and career planning. Research-intensive universities exhibit the lowest levels of faculty–student interaction within higher education. This article utilises qualitative methods to explore faculty, student, and staff perceptions of faculty–student interactions, particularly those that take place out of the classroom, at a research-intensive public U.S. university. We identify social distance between faculty and students based on unequal status within a rigid, hierarchically-organised culture as a key barrier to FSI. We then discuss methods that some of the faculty in our study used to mitigate their social distance with students in an effort to increase FSI.     

The nexus between college choice and persistence

Initial student commitments have long been considered an influence on persistence, but the reasons why students choose to attend a college have seldom been considered as dimensions of initial commitments that could influence persistence processes and outcomes. This study used NPSAS-87 to examine the influence of finance-related reasons for choosing a college on persistence decisions. The findings include (1) finance-related choices have direct and indirect influences on whether students persist in college; and (2) market-based, monetary measures of financial aid, tuition costs, housing costs, and other living costs have a substantial direct effect on persistence.