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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

Showing all 4 results
An Investigation of U.S. Undergraduate Business School Rankings Using Data Envelopment Analysis with Value-Added Performance Indicators
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Palocsay, Susan W.; Wood, William C. – Journal of Education for Business, 2014
"Bloomberg Businessweek" ranks U.S. undergraduate business programs annually. These rankings provide a convenient overall measure of quality, which is important in today's environment of concern about higher education costs and employment after graduation. Data envelopment analysis (DEA) has advantages over previous regression…
Descriptors: Business Administration Education, Undergraduate Study, Regression (Statistics), Educational Quality
Value-Added Adjustment in Undergraduate Business School Ranking
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Kreutzer, David W.; Wood, William C. – Journal of Education for Business, 2007
In 2006, "Business Week" issued a highly publicized ranking of undergraduate business schools (Lavelle, 2006). Although the ranking provided useful measures of quality, the high rank of some schools was partly due to the quality of incoming students and educational resources rather than the ability of the school to add value. In this article, the…
Descriptors: Educational Resources, College Outcomes Assessment, Educational Quality, Business Administration Education
Linked Multiple-Choice Questions: The Tradeoff between Measurement Accuracy and Grading Time.
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Wood, William C. – Journal of Education for Business, 1998
Describes the technique of linked multiple choice, a hybrid of open-ended and multiple-choice formats. Explains how it combines the testing power of free-response questions with the efficient grading of multiple choice. (SK)
Descriptors: Grading, Multiple Choice Tests, Student Evaluation, Test Items
A Spreadsheet Model for Teaching Regression Analysis.
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Wood, William C.; O'Hare, Sharon L. – Journal of Education for Business, 1992
Presents a spreadsheet model that is useful in introducing students to regression analysis and the computation of regression coefficients. Includes spreadsheet layouts and formulas so that the spreadsheet can be implemented. (Author)
Descriptors: Business Administration Education, Higher Education, Regression (Statistics), Spreadsheets