A Survey of the Teaching of Statistics in M.B.A. Programs

A survey of business schools was conducted to obtain information about the current state of the teaching of business statistics to students enrolled in M.B.A. degree programs. The survey was undertaken for and presented at a June 1986 conference on “Making Statistics More Effective in Schools of Business,” held at the University of Chicago's Graduate School of Business. Information was elicited concerning both the required statistics sequence and elective statistics courses for M.B.A. students, as well as computer usage in these courses. This article summarizes the information obtained from the survey.     

Reviews

Abstract

Elizabeth Parang reviews Reengineering the Library: Issues in Electronic Resources Management. Scott Johnson reviews Academic Library Management: Case Studies.     

Web of Deception: Misinformation on the Internet

Abstract

“Serials Spoken Here” has reports on a symposium on “The Transition to Open Access Scholarship” held at the University at Albany, New York, and the 2004 North Carolina Serials Conference, both held in April 2004.     

Small-Sample Methods for Cluster-Robust Variance Estimation and Hypothesis Testing in Fixed Effects Models

ABSTRACT

In panel data models and other regressions with unobserved effects, fixed effects estimation is often paired with cluster-robust variance estimation (CRVE) to account for heteroscedasticity and un-modeled dependence among the errors. Although asymptotically consistent, CRVE can be biased downward when the number of clusters is small, leading to hypothesis tests with rejection rates that are too high. More accurate tests can be constructed using bias-reduced linearization (BRL), which corrects the CRVE based on a working model, in conjunction with a Satterthwaite approximation for t-tests. We propose a generalization of BRL that can be applied in models with arbitrary sets of fixed effects, where the original BRL method is undefined, and describe how to apply the method when the regression is estimated after absorbing the fixed effects. We also propose a small-sample test for multiple-parameter hypotheses, which generalizes the Satterthwaite approximation for t-tests. In simulations covering a wide range of scenarios, we find that the conventional cluster-robust Wald test can severely over-reject while the proposed small-sample test maintains Type I error close to nominal levels. The proposed methods are implemented in an R package called clubSandwich. This article has online supplementary materials.     

Contraceptive use patterns within females' first sexual relationships: the role of relationships, partners, and methods

This study used the 1995 National Survey of Family Growth (NSFG) to assess whether characteristics of females' sexual partners, relationships, and choice of contraceptive methods were associated with contraceptive use patterns within their first sexual relationship. White, black, and Hispanic females under age 25 (N=915) provided retrospective information on sexual activity and contraceptive use for first sexual relationships that occurred between 1991 and 1995. Females with older sexual partners and with same race/ethnicity partners (among Hispanics) had reduced odds of ever using contraception and/or uninterrupted use. Longer sexual relationships were associated with higher odds of ever using contraception but lower odds of uninterrupted use. Females who were older at first sex, who used hormonal methods (among whites), or who switched to more effective methods during their first sexual relationships had higher odds of ever using contraception and/or uninterrupted use. In contrast, switching to less effective methods during a first sexual relationship was associated with reduced odds of uninterrupted use.     

A use-and-transformation model for evaluating public R&D: illustrations from polycystic ovarian syndrome (PCOS) research

Evaluating federally funded research and development (R&D) presents unique challenges to both federal science agencies and evaluators. Often focusing only on outcome evaluative measures (such as productivity or economic value) can shortchange the true value of the federal investment. For example, program directors at the National Science Foundation (NSF) and National Institutes of Health (NIH) talk about the "value added" of the new interdisciplinary science centers that they have funded-and they hope to be able to capture how funding can generate increased capacity for new cutting-edge research in the future. The purpose of this paper is to present a use-and-transformation model for evaluating public R&D, which explicitly focuses on measuring capacity-based metrics for evaluation instead of outcome-based metrics. The theory for the model presented here explicitly uses the concept of a Knowledge Value Collective that was introduced by Bozeman and Rogers [Bozeman, B., & Rogers, J. D. (2002). A churn model of scientific knowledge value: Internet researchers as a knowledge value collective. Research Policy, 31(5), 769-794; Rogers, J. D., & Bozeman, B. (2001). "Knowledge value alliances": An alternative to the R&D project focus in evaluation. Science Technology & Human Values, 26(1), 23-55].     

Rhetoric and Reality of Economic Self-sufficiency Among Rural,Low-Income Mothers: A Longitudinal Study

This study examined the contributions of maternal labor force participation and marital status on economic self-sufficiency over time for rural mothers. Data were from 174 rural families participating in three waves of data collection in Rural Families Speak. χ ² and multiple logistic regression were utilized. Results revealed only one-third of mothers moved toward economic self-sufficiency over three years. Maternal education, employment status, and weekly work hours were associated with improved economic well-being. Compared to single-parent families, unmarried-couple and married-couple families had increased odds of improving economically. In an analysis of all mothers with partners, married or unmarried, martial status was not significant in economic improvement. Findings suggest the role of marriage in welfare reform for rural families should be reconsidered.