KELLIE WILLS 5401 Meridian Ave. N Apt. E

Seattle, WA 98103 cell: (206) 683-6516

willsk@uw.edu http://blogs.uw.edu/willsk/

Education

Ph.D., Measurement, Statistics and Research Design, University of Washington College of Education, September 2013.

• Individual Concentration in Social Statistics from Center for Statistics and the Social Sciences.

• Dissertation title: "Uncertainty in estimating between-teacher variation for value-added modeling: A Bayesian perspective.”

M.A. Applied Statistics, University of California, Santa Barbara, December 2000. GPA 3.96/4.0.

B.S. Materials Science and Engineering, Massachusetts Institute of Technology, February 1992. GPA 4.75/5.0.

Professional Experience

9/2009 – 8/2012 and 9/2013 to present

Research Assistant, DEISA (Developing and Evaluating Instructionally Sensitive Assessments), University of Washington

Responsible for statistical and psychometric analysis for NSF-funded elementary science assessment project.

9/2012 – 6/2013 Fellow, Project for Interdisciplinary Pedagogy, University of Washington Bothell

Taught BIS 315 Understanding Statistics and BIS 232 Under-standing, Using and Visualizing Quantitative Data.

8/2009 – 7/2010 R Programming Consultant, NOAA, Seattle, WA

Contributed to the development of R package MARSS (Multivariate Autoregressive State-Space Modeling).

3/2008 – 12/2008 Engineering Service Manager, REvolution Computing, Seattle, WA

Wills Resume 2 of 3

Led customer training and support.

11/2006 - 12/2007 Senior Consultant, Insightful Corporation, Seattle, WA

Consulted on projects involving statistical analysis and programming using S-PLUS.

6/2005 - 10/2006 Mathematical Statistician, U.S. Census Bureau (Economic Statistical Methods and Programming Division and Service Sector Statistics Division), Suitland, MD

Researched, consulted on and reviewed seasonal adjustment practices and time series models for Census Bureau economic time series.

4/2004 – 1/2005 Quantitative Researcher, Corporate Executive Board, Washington, DC

Led the design, data collection and analysis for a marketing resource allocation survey.

3/2002 – 4/2004 Mathematical Statistician, U.S. Census Bureau (Statistical Research Division), Suitland, MD

Researched topics in seasonal adjustment and time series modeling, including novel time series models for economic series, diagnostics for model-based seasonal adjustment, and moving holiday effects.

3/2001 – 3/2002 Senior Consultant, Ernst & Young LLP, Washington, DC

Provided expertise in time series modeling, sample design and estimation, and other statistical methods to Ernst & Young and external clients.

Publications and Software

Ruiz-Primo, M. A., Li, M., Wills, K., Giamellaro, M., Lan, M.-C., Mason, H., and Sands, D. (2012). Developing and evaluating instructionally sensitive assessments in science. Journal of Research in Science Teaching, 49(6), 691–712.

Holmes, E. E., Ward, E. J. and Wills, K. (2012). MARSS: Multivariate autoregressive state-space models for analyzing time-series data. The R Journal 4(1), 11–19. http://journal.r-project.org/archive/2012–1/RJournal_2012-1.pdf. Software available at http://cran.r-project.org/web/packages/MARSS/index.html.

Aston, J. A., Findley, D. F., McElroy, T. S., Wills, K. C. and Martin, D. E. K. (2007). “New ARIMA Models for Seasonal Time Series and Their Application to Seasonal Adjustment and Forecasting.” U.S. Census Bureau Research Report Series Statistics #2007-14.

Wills Resume 3 of 3

Findley, D.F., Wills, K. C. and Monsell, B. C. (2004). “Comments on ‘Damping Seasonal Factors: Shrinkage Estimators for the X-12-ARIMA Program’,” International Journal of Forecasting, 20(4), pp. 551-556.

Presentations

“Teacher predictions of multiple-choice item difficulty: A two-way cross-classified Bayesian analysis.” 2013 American Educational Research Association annual meeting, San Francisco, CA.

“Comparing two experimental designs to evaluate item sensitivity.” 2012 American Educational Research Association annual meeting, Vancouver, B.C.

“Judging instructionally sensitive assessment: Teachers’ and students’ perspectives.” 2011 American Educational Research Association annual meeting, New Orleans, LA.

“The best of both worlds: Benchmarking the Quarterly Services Survey to the Services Annual Survey.” Statistics Canada, October 2006.

"Issues in identifying Easter effects in economic time series." 2006 Joint Statistical Meetings, Seattle, WA.

"Generalizations of the Box-Jenkins airline model with frequency-specific seasonal coefficients." 2003 Joint Statistical Meetings, San Francisco, CA.

Teaching Experience

9/2012 – 6/2013

Fellow, Project for Interdisciplinary Pedagogy, UW Bothell

• BIS 315 Understanding Statistics • BIS 232 Understanding, Using and Visualizing Quanti-

tative Data

1/2013 – 6/2013 University of Washington, Seattle, WA

• EDPSY 588 Survey Research Methods

1/2005 – 5/2006 Montgomery College, Takoma Park, MD

Part-time faculty for MA 091D Beginning Algebra, MA 116 Elements of Statistics

9/1999 – 12/2000 University of California, Santa Barbara

Teaching assistant for STAT 5A Statistics, STAT 174 Time Series