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Johnson, Marina E.; Berenson, Mark L. – Decision Sciences Journal of Innovative Education, 2019
AACSB has now mandated that analytics be integrated into the undergraduate business curriculum. Given that the subject of statistics provides the underpinnings of the developing discipline of business analytics, this article focuses on effective course delivery aimed at enhancing the learning of introductory business statistics in the modern world…
Descriptors: Teaching Methods, Introductory Courses, Undergraduate Students, Statistics
Berenson, Mark L. – Decision Sciences Journal of Innovative Education, 2013
There is consensus in the statistical literature that severe departures from its assumptions invalidate the use of regression modeling for purposes of inference. The assumptions of regression modeling are usually evaluated subjectively through visual, graphic displays in a residual analysis but such an approach, taken alone, may be insufficient…
Descriptors: Spreadsheets, Computer Software, Regression (Statistics), Models
Hollister, Kimberly K.; Berenson, Mark L. – Decision Sciences Journal of Innovative Education, 2009
Increasing numbers of universities are offering courses in online and hybrid formats. One challenge in online assessment is the maintenance of academic integrity. We present a thorough statistical analysis to uncover differences in student performance when online exams are administered in a proctored environment (i.e., in class) versus an…
Descriptors: Computer Assisted Testing, Supervision, Statistical Analysis, Performance
Peterson, Richard L.; Berenson, Mark L.; Misra, Ram B.; Radosevich, David J. – Decision Sciences Journal of Innovative Education, 2008
Student faculty ratings are used at most institutions of higher learning for three important reasons. First, the ratings provide direct feedback to the faculty, and this enables faculty to adjust their teaching styles. Second, the ratings provide the administration with information intended to assist in guiding and mentoring faculty toward more…
Descriptors: Business Administration Education, College Faculty, Student Evaluation of Teacher Performance, Universities
Berenson, Mark L.; Koppel, Nicole B. – Decision Sciences Journal of Innovative Education, 2005
In business research situations it is often of interest to examine the differences in the responses in repeated measurements of the same subjects or from among matched or paired subjects. A simple and useful procedure for comparing differences between proportions in two related samples was devised by McNemar (1947) nearly 60 years ago. Although…
Descriptors: Business Administration Education, Higher Education, Statistics, Statistical Analysis