Credentials
Lois
Sayrs received her Ph. D. in Political Science from Northwestern
University in 1986 with specializations in Methodology and Modeling.
She has published several articles on methods and has written a
monograph on Pooled Time Series
Analysis for Sage Publications. She
served on the faculty at Washington State University for three years and
at the University of Iowa for five years until 1992 where she taught both
graduate and undergraduate statistics, regression, methodology and
modeling. Dr. Sayrs served as
the chair of the methods section for the Midwest Political Science
Association and as an Adjunct Professor in the Department of Political
Science at Arizona State University where she taught statistics and
research methods. Currently,
Dr. Sayrs is the Senior Methodologist for the Office of the Auditor
General for the state of Arizona, serves as the principal in her own
consulting firm and teaches statistics at the University of Phoenix.
Dr. Sayrs won the 1993, 1998 and 2005 National Council of State
Legislature's Award for Excellence in Methodology. Selected
accomplishments include:
-
Developing
methodologies to evaluate Arizona’s Behavioral Health System, the
three Arizona universities and Arizona’s K-12 Education System.
-
Designing
the methodology for four long term evaluations of early childhood
intervention programs designed to give Arizona's disadvantaged
children a better chance for success.
-
Winning
the Governor’s Award for Excellence for authoring the chapter on
Performance Measures for the State's Strategic Planning Manual.
-
Co-founding
the Arizona Evaluation Network- a local affiliate of the American
Evaluation Association designed to bring evaluation practitioners and
academics throughout Arizona together.
-
Consulting
and training auditors and evaluators nationally and internationally.
Education,
Skills and Training
Ph.D.
Northwestern University, 1985 (Methods)
M.A. Northwestern University,
1981
B.A. University of South
Carolina, (Phi Beta Kappa) 1979
Extensive
graduate coursework in math, statistics, engineering and economics.
Expert in regression models (quantal choice, time series), data
reduction techniques (factor analysis) and text analysis.
Programming experience in SPSS, SAS, STATA, TSP.
Fluent in French.
References
and curriculum vitae available upon request.
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