2012 Presenters

 


Jeff Allen, Ph.D.

Jeff Allen is the director of ACT's Statistical Services Research Department. Jeff joined ACT after earning his Ph.D. in Biostatistics from the University of Iowa in 2002. His research has included test security data forensics, prediction of college outcomes, and growth and value-added modeling using academic achievement data.

 

Michael Chajewski, Ph.D.

Michael Chajewski is an Assistant Psychometrician within Research & Development at the College Board in New York City. He received his Ph.D. from Fordham University working under the mentorship and guidance of Dr. Charles Lewis. His research interests include: Algorithm development for the management of item banks in computerized adaptive tests, large data model fit assessments, missing data impact, statistical software programming and Bayesian statistics.

 

Mike Clark, Ph.D.

Mike Clark is an Associate Research Scientist at Pearson, where he provides psychometric support for several large scale K-12 assessment programs. In addition to the operational psychometric work Mike performs, he is also leading a team within Pearson on developing methods to identify instances where breaches in test security may have occurred. Prior to joining Pearson in 2010, Mike spent five years working in licensure and certification testing at Applied Measurement Professionals. Mike works in Tulsa, Oklahoma, and he holds a Ph.D. in Quantitative Psychology from the University of Kansas.

 

Karla Egan, Ph.D.

Karla Egan is a Research Manager at CTB/McGraw-Hill where she manages a diverse group of Research Scientists and Research Associates and provides leadership on issues related to assessment development, assessment policy, test security, and psychometrics. She provides psychometric guidance to state departments of education for their customized assessments, and she works with educators through standard setting workshops and form selection workshops. Dr. Egan has presented her work on test security at the NCME, ATP, and NCSA conferences.

 

Jamila Kennedy

Jamila Kennedy is a Senior Analyst in the Education, Workforce, and Income Security team at the U.S. Government Accountability Office (GAO), an independent research arm of the U.S. Congress. In her current capacity, Mrs. Kennedy manages reviews that GAO conducts in the area of K-12 education. Over the course of 10 years with GAO, Mrs. Kennedy has also conducted reviews encompassing a broad range of federal policy areas, including financial regulation, consumer protection, privacy, and retirement issues. She also serves as an adjunct faculty member in GAO's Learning Center where she teaches courses in the leadership and audit curricula. Mrs. Kennedy is a doctoral student in Education Policy and Research Methods at George Mason University in Fairfax, Virginia.

 

Neal Kingston, Ph.D.

Neal Kingston is the Director of CETE. He started his career as a classroom teacher, worked summers with students with significant cognitive disabilities, and subsequently worked in large-scale assessment for 32 years. He has worked as a psychometrician, test developer, and systems developer. He has managed all aspects of the educational testing process for both general and alternate assessments, and has published and presented more than 100 articles, papers, and book chapters on assessment.

 

Jennifer A. Lawlor

Jennifer Lawlor is a Senior Data Analyst at the Law School Admission Council. She earned her Bachelor of Science in Information Science from Rider University. She has been with the Law School Admission Council for 16 years. Her current duties include database administration, item banking, test fraud detection, and assessment software testing. Jennifer’s research interests include computerized testing and item modifications.

 

Charles Lewis, Ph.D.

Charles Lewis is Distinguished Presidential Appointee, Educational Testing Service, and Professor, Department of Psychology, Fordham University. He received his Ph.D in Statistics from Princeton University and has taught at Dartmouth College, University of Illinois and University of Groningen. His areas of specialization are fairness and validity in educational testing, including test security; mental test theory, including item response theory; generalized linear models, including repeated measures; Bayesian inference, including multilevel modeling; and behavioral decision making.

 

Dennis Maynes, M.S.

Dennis Maynes is Chief Scientist at Caveon Test Security, a position that he has held since February, 2003. He has pioneered several methods for the statistical detection of potential test fraud, including the use of clusters to detect cheat rings and the use of embedded verification tests to detect braindump users. He has conducted more than 450 data forensics projects for more than 50 organizations, including 11 state departments of education, 10 medical programs, and 12 information technology certification programs. Maynes holds a Master’s Degree in statistics from Brigham Young University.

 

Andy Mroch, Ph.D.

Andy Mroch is a Research Associate in the Measurement Research Department at ACT. He earned his Ph.D. in Educational Psychology from the University of Wisconsin-Madison. Prior to joining ACT, Andy has worked as a research scientist at Pearson and as a psychometrician at the National Conference of Bar Examiners. His research has included such topics as dimensionality detection, test speededness, reliability, bias and fairness, testing accommodations, standard setting, regression artifacts, equating, and automated scoring.

 

Peter J. Pashley, Ph.D.

Peter Pashley is Principal Research Scientist & Director of Testing and Research at the Law School Admission Council. He earned his Ph.D. in quantitative psychology from McGill University, his M.S. in mathematics and statistics from Carleton University, and his M.A. in psychology from the University of Windsor. Before joining the LSAC staff, Dr. Pashley was a research scientist at Educational Testing Service and a statistician with Revenue Canada. His research interests include admission modeling, computerized testing, timing issues, and item response theory.

 

Vincent Primoli, B.S.

Vincent Primoli currently works as a statistical analyst providing psychometric support at Data Recognition Corporation. For the past three years, Vincent has been involved in delivering data forensics solutions for large scale, K-12 assessment programs. His primary research interest is in erasure analysis, and he holds a B.S. in statistics from the University of Minnesota as he pursues his M.B.A.

 

Leonardo Satoridona, Ph.D.

Dr. Sotaridona specializes in statistical methods for the detection of answer copying on achievement test (http://doc.utwente.nl/41573/1/thesis_Sotaridona.pdf). He has published several papers on this topic and presented his research works at several national and international conferences. He earned a doctorate in psychometrics from the University of Twente and also holds several other degrees in statistics and mathematics education. He joined Measurement Incorporated as a psychometrician after more than five years as a research scientist at CTB McGraw-Hill and six years as a college mathematics instructor.

 

Mayuko Simon, Ph.D.

Mayuko Simon is a psychometrician at Data Recognition Corporation. Mayuko joined DRC after earning her Ph.D. from University of Minnesota in 2008. Her research interests include: application of data mining approach, test security, and maintenance of item banks in computer adaptive tests.

 

William Skorupski, Ed.D.

Willliam Skorupski is an associate professor of Research, Evaluation, Measurement, and Statistics in the School of Education at the University of Kansas. He teaches courses in item response theory (IRT), classical test theory, computer programming, ANOVA, regression, and multivariate statistics. His research focuses on applications of IRT, the evaluation of standard setting processes, the use of Bayesian statistics for solving practical measurement problems, and the implementation and estimation of innovative measurement models. Dr. Skorupski received his Ed.D. in Psychometric Methods from the University of Massachusetts Amherst in 2004

 

Gail Tiemann, M.S.

Gail C. Tiemann is a Project Coordinator at the Center for Educational Testing and Evaluation at the University of Kansas, where she coordinates and carries out a variety of measurement-focused research initiatives. She is the product manager for the test delivery engine component of the Kansas Interactive Testing Engine and manages the Kansas English Language Proficiency Assessment program. As a doctoral candidate at KU, she is completing a Ph.D. in Education Research, Evaluation, Measurement, and Statistics. Her research interests include computer-based testing, technology-enhanced item types, measurement of reading motivation, as well as test validity and fairness issues. She holds a M.S. in social work from the University of Wisconsin-Madison, and a B.S. in social work from the University of Kansas.

 

John Townes

John Townes is a Senior Analyst in the Education, Workforce, and Income Security team at the U.S. Government Accountability Office (GAO), an independent research arm of the U.S. Congress. Over the course of 15 years with GAO, Mr. Townes has conducted reviews encompassing a wide range of federal policy areas, including technology, foreign affairs, defense personnel and readiness issues, child welfare and Equal Opportunity and Employment issues. He also serves as an adjunct faculty member in GAO's Learning Center where he helps develop and teach courses on workplace diversity and inclusion.

 

Howard Wainer, Ph.D.

Howard Wainer received his Ph. D. from Princeton University in 1968. After serving on the faculty of the University of Chicago, a period at the Bureau of Social Science Research during the Carter Administration, and 21 years as Principal Research Scientist in the Research Statistics Group at Educational Testing Service, he is now Distinguished Research Scientist at the National Board of Medical Examiners and Professor (adjunct) of Statistics at the Wharton School of the University of Pennsylvania.

 

Steven Wise, Ph.D.

Steven Wise is a Senior Research Fellow at Northwest Evaluation Association. Dr. Wise has published extensively during the past three decades in applied measurement, with particular emphases in computer-based testing and the psychology of test taking. In addition, he sits on the editorial board of several academic journals and provides psychometric consultation to a variety of organizations. In recent years, Dr. Wise’s research has focused primarily on methods for effectively dealing with the measurement problems posed by low examinee effort on achievement tests.

 


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