Doris Zahner

Adjunct Associate Professor of Public Service

Dr. Doris Zahner is an Adjunct Associate Professor of Public Service of NYU’s Robert F. Wagner Graduate School of Public Service. She is also the VP of Assessment & Principal Measurement Scientist at CAE, a non-profit educational assessment organization based in Manhattan. Her responsibilities include overseeing all assessment development for CAE clients and products, developing and overseeing research studies pertaining to the CLA+ (Collegiate Learning Assessment) and other CAE instruments, and scientific oversight of scoring, equating, and reporting. Prior to her position with CAE, she was a program director at a professional licensure and certification firm and managed a variety of clients including a medical certification board, an information systems and auditing certification program, various nursing specialties, and plastics engineers. Her research at CAE pertains to international comparability of critical thinking assessments in higher education and the college-to-career space.  She holds a PhD in cognitive psychology and an MS in applied statistics from Teachers College, Columbia University. She earned her BS from Cornell University. Her post-doctoral work at the Stevens Institute of Technology was on the use of diagrams in information systems design and her personal research interests pertain to the use of diagrams in probability and mathematical problem solving. In her free time, Dr. Zahner enjoys cooking, SCUBA diving, and bird watching.   

This course introduces students to basic statistical methods and their application to management, policy, and financial decision-making. The course covers the essential elements of descriptive statistics, univariate and bivariate statistical inference, and introduces multivariate analysis. In addition to covering statistical theory the course emphasizes applied statistics and data analysis. The primary goal of this course is to introduce these basic skills and encourage a critical approach to reviewing statistical findings and using statistical reasoning in decision making.

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