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Dive into the research topics where Courtenay C. Stone is active.

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Featured researches published by Courtenay C. Stone.


Journal of Statistics Education | 2009

How Much Math Do Students Need to Succeed in Business and Economics Statistics? An Ordered Probit Analysis.

Jeffrey J. Green; Courtenay C. Stone; Abera Zegeye; Thomas A. Charles

Because statistical analysis requires the ability to use mathematics, students typically are required to take one or more prerequisite math courses prior to enrolling in the business statistics course. Despite these math prerequisites, however, many students find it difficult to learn business statistics. In this study, we use an ordered probit model to analyze the impact of alternative prerequisite math course sequences on the grade performance of 1,684 business and economics statistics students at a large Midwestern university. In addition, we show how imposing a minimum grade requirement of C- for the math prerequisite course would influence student success in the business statistics course. Although several studies have examined the impact of different math skills, our study is the first to provide a detailed analysis of the impact of different prerequisite math course sequences on student performance in business statistics. We demonstrate that, other things the same, taking more math credit hours, taking math courses that emphasize calculus, and imposing a minimum grade of C- on the prerequisite math course have significant positive impacts on student grade performance in the business and economics statistics course.


The Journal of Education for Business | 2014

The Major Field Test in Business: A Solution to the Problem of Assurance of Learning Assessment?

Jeffrey J. Green; Courtenay C. Stone; Abera Zegeye

Colleges and universities are being asked by numerous sources to provide assurance of learning assessments of their students and programs. Colleges of business have responded by using a plethora of assessment tools, including the Major Field Test in Business. In this article, the authors show that the use of the Major Field Test in Business for assurance of learning purposes is ill advised. First, it provides no direct evidence of student learning. Second, it offers no useful comparative analyses to other business students or institutions. Consequently, it provides no guidance for curriculum or program changes to achieve better learning outcomes. Thus, use of the Major Field Test in Business offers only a pretend solution to the problem of assurance of learning assessment.


Archive | 2007

Changes in Math Prerequisites and Student Performance in Business Statistics: Do Math Prerequisites Really Matter?

Jeffrey J. Green; Courtenay C. Stone; Abera Zegeye; Thomas A. Charles


The Journal of Economic History | 1995

In Search of Stock Market Bubbles: A Comment on Rappoport and White

Tung Liu; Gray J. Santoni; Courtenay C. Stone


Archive | 2012

The Major Field Test in Business: A Pretend Solution to the Real Problem of Assurance of Learning Assessment

Jeffrey J. Green; Courtenay C. Stone; Abera Zegeye; Thomas A. Charles


Archive | 2011

Unlikely Estimates of the Ex Ante Real Interest Rate: Another Dismal Performance from the Dismal Science1

Lee C. Spector; Courtenay C. Stone


Journal of Economic Education | 1999

A Critique of One-Tailed Hypothesis Test Procedures in Business and Economics Statistics Textbooks

Tung Liu; Courtenay C. Stone


Archive | 2013

Will Students Ever Learn Economic Principles? Are They Really That ObTUCE?

Jeffrey J. Green; Courtenay C. Stone; DeVon Yoho; Abera Zegeye


Archive | 2010

Suspicious Estimates of Ex Ante Real Interest Rates: Evidence of Macroeconomic Malpractice?

Lee C. Spector; Courtenay C. Stone


Archive | 2005

Federal Securities Regulations and Stock Market Returns

Tung Liu; Courtenay C. Stone; G. J. Santoni

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Tung Liu

Ball State University

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