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Biography

Mark Hamner is an Assistant Professor in mathematics and computer science and Associate Provost of Institutional Research and Improvement at Texas Woman's University. He specializes in data management and statistics.

Industry Expertise (3)

Education/Learning

Information Technology and Services

Research

Areas of Expertise (7)

Statistics

Mathematics

Data Management

University Teaching

University Administration

Higher Education

Sampling

Accomplishments (2)

Distinction in Teaching Award (professional)

2011-04-01

Texas Woman’s University Honors Convocation.

Mary Mason Lyon Award (professional)

2008-04-01

Texas Woman’s University Honors Convocation.

Education (4)

Baylor University: Ph.D., Statistics 2000

Baylor University: M.S., Statistics 1998

Baylor University: M.S., Mathematics 1997

The University of Texas: B.A., Mathematics 1994

Affiliations (4)

• Association for Institutional Research
• Midwestern Association for Institutional Research
• American Statistical Association
• Mathematical Association of America

Event Appearances (4)

Math Online at Texas Woman’s University

Texas Association of Academic Administrators in the Mathematics Sciences  Waco, TX

2011-01-01

“Keeping Your Teaching Style Accessible Using Online Technology

TWU Office of Distance Education Fifth Annual Online Educator Symposium  Denton, TX

2011-01-01

From Here to There: One Courses Journey from Hybrid to Online Delivery

TWU Distance Education Brown Bag Presentation  Denton, TX

2011-01-01

Time-Line Predictions of Total Newly Enrolled Students Using Observed Applicant Data

Mid-America Association for Institutional Research Annual Conference  St. Louis, Missouri

2007-01-01

Articles (5)

Embracing an Operational Definitions Approach to Understanding and Teaching Basic Hypothesis Testing

Journal of Statistics Education

2012

Stalking the True Null Hypothesis

Journal of Irreproducible Results

2008

Learning and Interactive Modules: An Experimental Study

Proceedings of E-Learn 2007--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education

2007 This paper describes the results of an empirical study on the effectiveness of interactive web-based learning modules for use with lower level computer science and elementary statistics courses. The project was designed to measure if interactive web-based modules are effective as a learning tool, and if so, can we measure how effective they are.

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Empirical Bayes and Bayes Prediction of Finite Population Total Using Auxiliary Information

Texas Project NExT Journal

2004 Let P = {1, 2,…, N} represent the set of labels of the units of a finite population (N known) and yi represent a fixed value of interest for each unit i ∈ P. The focus of this paper is on the prediction of a finite population total T =∑i yi by sampling n units from a population of size N units.

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Exploring the Differences between Science and Non-Science Majors in an Environment that Controls the Presence of Males

Proceedings of the American Society for Engineering Education (ASEE) Gulf-Southwest

2004 Women remain sorely under-represented in mathematics, computer science, and the physical sciences. As a result, researchers have attempted to profile female students that choose these majors and to explain why others do not.

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