Beth L. Chance

Professor, Statistics Department

California Polytechnic State University

San Luis Obispo, CA 93401

bchance@calpoly.edu

statweb.calpoly.edu/bchance/

September, 2023

 

Education

  • CORNELL UNIVERSITY, Ithaca, New York.

MS, Ph.D. in Operations Research, 1994.
Concentration: Statistics (E. Slate).
Minors: Manufacturing (R. Roundy), Education (D. Monk).
Thesis Title: Behavior Characterization and Estimation for General Hierarchical Multivariate Linear Regression Models. Advisor: Dr. Martin Wells. Thesis examined the analysis of hierarchical data with emphasis on extreme data observations and characterization of model behavior under different modeling assumptions. Also examined estimation issues utilizing Monte Carlo Markov Chain sampling methods.
Honors: National Defense Science and Engineering Graduate Fellow, 1991-1994.

  • HARVEY MUDD COLLEGE, Claremont, California.

Bachelor of Science in Applied Mathematics, May 1990.
Major: Mathematics - Applied Option. Minor: Psychology.
Honors: Graduated with High Distinction; Honors in Humanities/ Social Sciences; Honors in Mathematics. HMC Dean's List every semester, 1987-1990.

 

Additional Courses/Professional Development Work

  • Multilevel Modeling in R: Basic and Advance Methods, InStats, Feb., 6-9, 2023
  • Matching and Weighting for Causal Inference with R, Statistical Horizons, July, 2021
  • Cal Poly CTLT’s Introduction to Equitable and Inclusive Teaching workshop, Winter, 2021
  • Multilevel and Mixed Models using R, and Longitudinal Data Analysis in R, Statistical Horizons, August 2020
  • Coursera Data Science Specialization courses (The Data Scientist’s Toolbox, Practical Machine Learning, Exploratory Data Analysis), June 2015
  • Teaching Statistics through Data Investigations MOOC, NC State, Spring 2015
  • EPSY 560: Educational Program Evaluation, University of Illinois-Chicago, Fall 2011

 

Appointments

  • 2007-               Professor of Statistics, California Polytechnic State University
  • 2002-2007       Associate Professor of Statistics, California Polytechnic State University
  • Spring, 2004   Department of Mathematics, St. Olaf College
  • April, 2002      Royal Statistical Society Centre for Statistical Education, Nottingham-Trent
  • 1999-2002       Assistant Professor of Statistics, California Polytechnic State University
  • 1994-1999       Assistant Professor of Mathematics, University of the Pacific

Teaching Experiences (Cal Poly)

  • Math 118/Stat 130 - Pre-Calculus Algebra/Introduction to Statistical reasoning (Modelling and Problem Solving)
  • Stat 150 – Introduction to Statistical Investigations
  • Stat 217 - Applied Statistics for the Liberal Arts
  • Stat 221 - Introduction to Probability and Statistics
  • Stat 301 – Statistics I  (current course coordinator)
  • Stat 302 – Statistics II
  • Stat 313 – Applied Experimental Design and Regression Models
  • Stat 321 - Probability and Statistics for Scientists and Engineers
  • Stat 322 - Statistical Analysis for Engineers and Scientists
  • Stat 365 – Statistical Communication
  • Stat 324 - Applied Regression Analysis
  • Stat 410 – Statistics Education: Content, Pedagogy, Technology, and Assessment
  • Stat 414 – Multilevel and Mixed Modeling (current course coordinator)
  • Stat 418 – Analysis of Cross Classified Data
  • Stat 512 – Statistical Methods
  • Stat 513 – Applied Experimental Design and Regression Models
  • IME 301 – Introduction to Operations Research
  • Study Abroad – History of Statistics with University of Florida (Cambridge, London), May 2023 (with support from Cal Poly Teacher-Scholar Grant)

 

Course Development

  • Stat 365 – Statistical Communication (Spring, 2019)
  • Stat 414 – Multilevel and Mixed Modeling (Fall, 2018)
  • Previously: Stat 301, Stat 410

 

Honors/Awards

  • International Association for Statistics Education Service award, 2021
  • Waller Distinguished Teaching Career Award, American Statistical Association, 2020
  • Distinguished Scholarship Award, California Polytechnic State University, 2019-2020
  • Journal of Statistics Education Best Paper Award, 2019
  • Daniel Solow Author Award, Mathematical Association of American, 2018
  • Learn by Doing Scholar Career Award, with S. Roy, K. McGaughey, and A. Rossman, California Polytechnic State University, 2018
  • Most Promising New Textbook Award, Textbooks and Academic Authors Association, 2017
  • Finalist, Cal Poly Distinguished Teaching Award, 2014
  • MERLOT (Multimedia Educational Resources for Learning and Online Teaching) Award for Exemplary Online Materials (with Allan Rossman), 2011
    • CAUSEweb Resource of the Year Award (with Allan Rossman), 2009
  • Best Contributed Paper Award (with A. Rossman), SIGMAA on Statistics Education, 2006
  • Fellow of the American Statistical Association, 2005
  • Mu Sigma Rho Statistical Education Award, 2003
  • Waller Education Award, American Statistical Association, 2002

 


 

Select Professional Activities

 

Publications: Articles             

  • Chance, B., Kerr, A.*, and Palmer, J.* (submitted) “Taking the next step in exploring the Literary Digest 1936 poll”, JSDSE Data and Stories Library
  • Chance, B., Tintle, N., Roy, S., McGaughey, K., Chung, S.*, and Goodman, A.* (to appear). “Teaching Simulation-based Inference: Random Sampling or Random assignment? What instructors should know,” Journal of Statistics and Data Science Education.
  • Louie, J., Fagan, E., Stiles, J., Roy, S., & Chance, B. (2023), “Advancing social justice through learning data literacy,” Educational Leadership, 80(8).
  • Chance, B., Medina, E., and Silverbush, J.* (2023), “If you only have one hour … Teaching statistical inference to youth,” Statistics Teacher, March 23, 2023.
  • Chance, B., Tintle, N., Reynolds, S.,* Patel, A.,*, Chan, K.*, & Leader, S.* (2022), Student performance in curricula centered on simulation-based inference,” Statistics Education Research Journal, 21(3). https://iase-web.org/ojs/SERJ/article/view/6 
  • Louie, J., Stiles, J., Fagan, E., Chance, B., Roy, S. (2022), “Building Toward Critical Data Literacy with Investigations of Income Inequality,” Educational Technology & Society, 25(4).
  • Ruz, F., Chance, B., and Contreras, J. (2021), “Exploring How Chilean Pre-service Teachers’ Attitudes Toward Stochastics Vary by Content Topic,” International Journal of Science and Mathematics Education.
  • Ruz, F., Chance, B., Medina, E., and Contreras, J. (2021), “Content Knowledge and Attitudes Towards Stochastics and its Teaching in Pre-Service Chilean Mathematics Teachers,” Statistics Education Research Journal, 20(1).
  • Louie, J., Stiles, J., Fagan, E., Roy, S., and Chance, B. (2021), “Data Investigations to Further Social Justice Inside and Outside of STEM,” Connected Science Learning, 3(1).
  • Chance, B., and Sabbag, A. (2021), “Some New Old Assessment Ideas,” Statistics Teacher.
  • Alber, J.M., Cohen, C., Bleakley, A., Ghazvini, S., Tolentino, B., Almeida, R., & Chance, B.L. (2020). Comparing The Effects of Different Story Types and Speakers in Hepatitis B Storytelling Videos. Health Promotion Practice, 21(5), 811-821.
  • Chance, B., and Reynolds, S.* (2019), “Predicting the Kentucky Derby Winner, Sort Of,” Journal of Statistics Education Data and Stories Library, 27(2), 120-127.
  • Tintle, N., Clark, J., Fischer, K., Chance, B., Cobb, G., Roy, S., Swanson, T., VanderStoep, J. (2019), “Assessing the Association between Pre-course Metrics of Student Preparation and Student Performance in Introductory Statistics: Results from Early Data on Simulation-based Inference vs. Non-simulation-based Inference,” Journal of Statistics Education, 26(2).
  • Chance, B., Wong, J.*, and Tintle, N. (2016), “Student performance in curricula centered on simulated-based inference: A preliminary report,” Journal of Statistics Education, 24(3) 114-126.
  • Chance, B., and Roy, S. (2016), “Discussion of ‘Probability Modeling and Thinking: What can we learn from practice?’ by Pfannkuch et al.” Statistics Education Research Journal, 15(2), 38-40.
  • Chance, B. and Peck, R. (2015). “From curriculum guidelines to learning outcomes: Assessment at the program level,” The American Statistician, 69(4), 409-416.
  • Chance, B., Peck, R., and Rossman, A. (2015). “Comment on ‘Mere Renovation is too little too late: We need to rethink the undergraduate curriculum from the ground up’,” The American Statistician, 69(4), online supplement.
  • Tintle, N., Chance, B., Cobb, G., Roy, S., Swanson, T., and VanderStoep, J. (2015). “Combatting anti-statistical thinking using simulation-based methods throughout the undergraduate curriculum,” The American Statistician, 69(4), 362-370.
  • Rossman, A., and Chance, B. (2013). “Using simulation-based inference for learning introductory statistics for learning introductory statistics,” Wiley Interdisciplinary Reviews: Computational Statistics, 6(4), 211-221.
  • Rossman, A., and Chance, B. (2013). “Comment: The future of textbooks – Focusing on learning,” Technology Innovations in Statistics Education, 7(3).
  • Watson, J. and Chance, B. (2012). “Building intuitions about statistical inference based on resampling,” Australian Senior Mathematics Journal, 26(1), 6-18.
  • Garfield, J., Zieffler, A., Kaplan, D., Cobb, G. W., Chance, B. L., & Holcomb, J. P. (2011). “Rethinking Assessment of Student Learning in Statistics Courses,” The American Statistician, 65(1), 1-10.
  • Chance, B., Ben-Zvi, D., Garfield, J., & Medina, E.  (2007, October).  “The role of technology in improving student learning of statistics,” Technology Innovations in Statistics Education Journal, 1(1). 
  • Roback, P., Chance, B., Moore, T., and Legler, J. (2006). “Japanese Lesson Study: An Application to Upper-level Undergraduate Statistics,” Journal of Statistics Education, vol 14(2).
  • Rossman, A. and Chance, B. (2005). “Random Babies and Random Bookbags: Learning Basic Probability Through Simulating the Matching Problem,” Statistics Teacher Network, ASA/NCTM Joint Committee, Number 65.
  • Chance, B. and Mortlock, M. (2003). “Comparing British and American Tertiary Education: Two Personal Perspectives,” MSOR Connections, LTSN Newsletter, vol 3(2).
  • Chance, B. and Garfield, J. (2002). “New Approaches to Gathering Data on Student Learning for Research in Statistics Education,” Statistics Education Research Journal, vol 1(2).
  • Chance, B. (2002). “Components of Statistical Thinking and Implications for Instruction and Assessment,” Journal of Statistics Education, vol 10(3).
  • Chance, B. (2001). “Statistics Education: Current and Future Directions,” MSOR Connections, LTSN Newsletter, vol 1(3).
  • Rossman, A. and Chance, B. (2001). “Randomized Rendevous,” STAR Library: Statistics Teaching and Resource Library.
  • Chance, B. and Rossman, A. (2001). “Sequencing Topics in Introducing Statistics: A Debate on What to Teach When,” The American Statistician. vol 55(2), 140-144.
  • Chance, B. (2001). “Full Scale Evaluation of an Introductory Statistics Course: An Example,” ASA Section on Statistical Education Newsletter. vol 7(1).
  • Rossman, A. and Chance, B. (2001). “Teaching Contemporary Statistics Through Active Learning,” invited article, PBS Teacher Source webpage.
  • Garfield, J. and Chance, B. (1999). “Assessment in Statistics Education: Issues and Challenges,” Mathematical Thinking and Learning, vol 8(3).
  • Rossman, A. and Chance, B. (1999). “Teaching the Reasoning of Statistical Inference: A “Top Ten’ List,” College Mathematics Journal, vol 30(4), pp. 297-305.
  • delMas, R., Garfield, J. and Chance, B. (1999). “Assessing the Effects of a Computer Microworld on Statistical Reasoning,” Journal of Statistical Education, vol 7(3).

 

Publications: Texts

  • Tintle, N., Chance, B., McGaughey, K., Roy, S., Swanson, T., & VanderStoep, J. (2019) Intermediate Statistical Investigations, John Wiley & Sons.
  • Tintle, N., Chance, B., Cobb, G., Rossman, A., Roy, S., Swanson, T., & VanderStoep, J. (2015). Introduction to Statistical Investigations, John Wiley & Sons.
    • Additional material for AP version (R. Carver)
    • Additional work for Zybooks, a fully online version of the text
  • Chance, B. and Rossman, A. (2023). Introduction to Statistical Concepts, Applications, and Theory, 4rd edition. (self-published)
  • Rossman, A. and Chance, B. (2011). Workshop Statistics, 4th edition. Wiley.
    • Additional versions and editions
  • Shaughnessy, J. M., Chance, B., and Kranendonk, H. (2009). Focus in High School Mathematics: Statistics and Probability, Reston, VA: National Council of Teachers of Mathematics.
  • J. Michael Shaughnessy and Chance, B. (2005). Statistical Questions from the Classroom, Reston, VA: National Council of Teachers of Mathematics.
  • Bohan, J. with Chance, B. (2000). Statistics: Preparing for the AP Exam. Amsco Publishers.

 

Publications: Book Chapters

  • Chance, B., and Rossman, A. (2017). Part Editors: “Statistics, Statistics Education, Statistics Education Research Part editor for International Handbook of Research in Statistics Education, New York: Springer.
  • Chance, B., Garfield, J., Medina, E. and Ben-Zvi, D. (2008). “Assessment in Statistics Education” in Developing Students' Statistical Reasoning: Connecting Research and Teaching Practice, J. Garfield and D. Ben-Zvi. (Eds.) New York: Springer.
  • Chance, B., Garfield, J., Medina, E. and Ben-Zvi, D. (2008). “Using Technology to Improve Student Learning of Statistics in Developing Students' Statistical Reasoning: Connecting Research and Teaching Practice, J. Garfield and D. Ben-Zvi. (Eds.) New York: Springer.
  • Rossman, A, Chance, B., and Medina, E. (2006). “Some Key Comparisons Between Statistics and Mathematics, and Why Teachers Should Care,” in NCTM Yearbook 2006: Thinking and Reasoning with Data and Chance, Reston, VA: NCTM.
  • Chance, B., delMas, R., and Garfield, J. (2005). “Reasoning about Sampling Distributions” in The Challenge of Developing Statistical Literacy, Reasoning, and Thinking, D. Ben-Zvi and J. Garfield (Eds.). Dordrecht: Kluwer.
  • Chance, B. (2005). “Integrating Pedagogies to Teach Statistics,” in Innovations in Teaching Statistics, J. Garfield (Ed.). MAA Notes volume #65.

 

Recent Publications: Proceedings (* Cal Poly undergraduate students)

  • Chance, B., Chung, S.*, and Tintle, N. (2022), Use of small-scale classroom experiments to inform statistics (SBI) pedagogy in tertiary classrooms,” Proceedings of the 11th International Conference on Teaching Statistics, Rosario, Argentina.
  • Ruz, F., Chance, B., and Medina, E. (2022), “Conocimiento estocástico de futuros profesores de matemática chilenos,” Proceedings of the 11th International Conference on Teaching Statistics, Rosario, Argentina.
  • Tintle, N., Chance, B., and McGaughey, K. (2022), “What do students in biology courses understand and appreciate about statistics,” Proceedings of the 11th International Conference on Teaching Statistics, Rosario, Argentina.
  • J. Louie, B, Chance, S. Roy, J. Stiles, and E. Fagan, (2021), “Promoting interest and skills in statistical and multivariable thinking with social justice investigations,” IASE 2021 Satellite Conference Proceedings, Online.
  • Chance, B., Mendoza, S.*, Tintle, N. (2018), “Student Gains in Conceptual Understanding in Introductory Statistics With and Without a Curriculum Focused on Simulation-Based Inference,” Proceedings of the 10th International Conference on Teaching Statistics, Kyoto, Japan.
  • McGaughy, K., Chance, B., Tintle, N., Roy, S., Swanson, T, VanderStoep, J. (2018), “Finding meaning in a multivariable world: A conceptual approach to an algebra-based second course in statistics,” Proceedings of the 10th International Conference on Teaching Statistics, Kyoto, Japan.
  • Pablo, N.,* Chance, B. (2018), “Can a Simulation-Based Inference course be flipped?” Proceedings of the 10th International Conference on Teaching Statistics, Kyoto, Japan.
  • Chance, B., McGaughey, K. (2014), “Impact of a simulation/randomization-based curriculum on student understanding of p-values and confidence intervals,” Proceedings of the 9th International Conference on Teaching Statistics, Flagstaff, AZ.
  • Tintle, N., Rogers, A., Chance, B., Cobb, G., Rossman, A., Roy, S., Swanson, T., VanderStoep, J. (2014), “Quantitative evidence for the use of simulation and randomization in the introductory statistics course,” Proceedings of the 9th International Conference on Teaching Statistics, Flagstaff, AZ.
  • S. Roy, A. Rossman, Chance, B., Cobb, G., VanderStoep, J., Tintle, N., Swanson, T. (2014), “Using simulation/randomization to introduce p-value in week 1,” Proceedings of the 9th International Conference on Teaching Statistics, Flagstaff, AZ.
  • Chance, B., Holcomb, J., Rossman, A., and Cobb. G. (2010). “Assessing student learning about statistical inference,” Proceedings of the 8th International Conference on Teaching Statistics, Ljubljana, Slovenia.
  • Holcomb, J., Chance, B., Rossman, A., Tietjen, E., and Cobb, G. (2010). “Introducing concepts of statistical inference via randomization tests,” Proceedings of the 8th International Conference on Teaching Statistics, Ljubljana, Slovenia.
  •  “Practical Issues in Conducting Statistics Education Research” (with J. Garfield, L. Lesser, A. Zieffler, R. delMas, and S. Hilton), 2006 Proceedings of the Section on Statistical Education, American Statistical Association.
  • “Using Simulation to Teach and Learn Statistics,” (with A. Rossman), Proceedings of the Seventh International Conference on Teaching Statistics, 2006, Salvador, Brazil. Voorburg: The Netherlands: International Statistical Institute.
  • “A Post-Calculus Introduction to Statistics for Future Secondary Teachers” (with A. Rossman and E. Medina), Proceedings of the Seventh International Conference on Teaching Statistics, 2006, Salvador, Brazil. Voorburg: The Netherlands: International Statistical Institute.
  • “A Data-Oriented, Active Learning, Post-Calculus Introduction to Statistical Concepts, Methods, and Theory” (with A. Rossman), Proceedings of the 2006 IASE Roundtable, G. Burrill (Ed.), Voorborg, The Netherlands: International Statistical Institute.
  • “Using Students’ Informal Notions of Variability to Develop an Understanding of Formal Measures of Variability” (with J. Garfield and R. delMas), Thinking about Data: Proceedings of the 33rd Carnegie Symposium on Cognition (2006), P. Shah and M. Lovett (Ed.), Erlbaum.
  • Assessing Effectiveness at the Program Level:  Undergraduate Statistics Program Evaluation” (with R. Peck), 2005 Proceedings of the Section on Statistical Education, American Statistical Association.

 

Recent Presentations: Professional Conferences

  • “Acceptability of different reasons for abortion by abortion stance in college students: Practical applications of results,” Abstract submitted to American Public Health Association’s 2023 Annual Meeting & Expo, C. Hackman et al.
  • “Careers in Teaching Undergraduate Statistical and Data Sciences: Who? What? Where? Why? How?.” Invited panelist, Joint Statistics Meetings, August 2023.
  • “If I can see it, I'll understand it: Using visuals to teach statistical concepts” with E. Robinson, UCOTS, June, 2023.
  • “Some hows and whys for integrating statistical thinking into mathematics courses,” plenary talk, 2023 Teaching Contemporary Mathematics Conference, North Carolina School of Science and Mathematics, Durham Campus, Feb., 2023.
  • “Use of small-scale classroom experiments to inform statistics (SBI) pedagogy in tertiary classrooms,” Proceedings of the 11th International Conference on Teaching Statistics, Rosario, Argentina, September, 2022.
  • “Incorporating ‘Social Justice’ and Multivariable Thinking Topics in Introductory Statistics Courses,” Friday Keynote Speaker (online), California Mathematics Council Community Colleges, Dec, 2021.
  • “Using classroom-based research to inform teaching of informal inference and the inquiry cycle,” NCTM Fall Virtual Conference, Nov. 2021
  • “How Random is That,” with E. Medina and J. Silverbush*, NCTM Fall Virtual Conference, Nov. 2021.
  • “Multivariable thinking throughout the curriculum,” IASE 2021 Satellite Conference (online), September, 2021.
  • “Using Randomized Experiments and Common Midterm Questions to Elucidate Student Learning Trajectories from Simulation-Based Inference Curricula,” presented (online) at Joint Statistics Meetings, August 2021.
  • Louie, J., Chance, B., Roy, S., Fagan, E., Stiles, J., & Finzer, W. (2021, June). “Building statistical thinking with social justice investigations and social science data” [Poster presentation]. 2021 DRK-12 PI Meeting, Online Conference.
  • “Using CODAP to Explore Social Justice Question,”  with S. Roy, J. Louie, and E. Fagan, NCTM Regional Conference (online), February, 2021.
  • “Building Statistical and Multivariable Thinking with Social Justice Investigations,” presented at Joint Statistics Meetings, online, August 2020.
  • “A View of Undergraduate Statistics Education,” Invited Introductory Overview Lecture, Joint Statistics Meetings, Denver, August 2019.
  • “Activities and Applet for Intuitive Understanding of SRS, Stratified, and Cluster Random Sampling,” presented at NCTM, April 2019.
  • Panelist, “Effectively Explaining Statistical Concepts to Researchers from Other Fields,” Joint Statistical Meetings, Vancouver, July 31, 2018.
  • “Student Gains in Conceptual Understanding in Introductory Statistics With and Without a Curriculum Focused on Simulation-Based Inference,” Kyoto, Japan, July, 2018, with Stephanie Mendoza (student)  (Stephanie and a second student also presented two other papers at this conference). I also presented on this research at the Joint Mathematics Meetings, January, 2018.
  • Panelist, “Effectively Explaining Statistical Concepts to Researchers from Other Fields,” Joint Statistical Meetings, Vancouver, August, 2018.
  •  “Student Gains in Conceptual Understanding in Introductory Statistics with and without a Curriculum Focused on Simulation-Based Inference,” presentation at Joint Statistics Meetings, Chicago, August 2, 2016
  • Panel, Guidelines for Statistics Education: MAA curricular guidelines, ASA guidelines, GAISE II, and SET, January 8, 2016
  • “Simulation-based inference beyond the introductory course,” presentation at Joint Mathematics Meetings, Seattle, January 8, 2016
  • “Teaching the statistical investigation process with simulation and randomization-based inference,” preceding the 2015 Joint Mathematics Meetings, San Antonio, Jan. 9, 2015
  • “Estimating with confidence: Developing Students’ Understanding,” California Mathematics Council – Community Colleges Fall Conference, Monterey, CA, Dec. 6, 2014 (with A. Rossman, Cal Poly)
  • “Innovations in Statistics Education,” Invited panel presentation, Joint Statistics Meetings, Boston, August, 2014.
  • “Impact of a simulation/randomization-based curriculum on student understanding of p-values and confidence intervals,” Invited presentation for International Conference on Teaching Statistics, Flagstaff, AZ, July 2014.

 

Recent Presentations: Workshops, Minicourses 

  • “Using applets to teach statistical concepts” (online), September, 2023.
  • STUB workshop, with N. Tintle et al. August 17-Sept 8, 2023.
  • Proceso de Investigación Estadística  en el aula escolar: Oportunidades y desafíos para la enseñanza de la estadística,” with Elsa Medina, Pontificia Universidad Católica de Valparaíso, August, 2023 (online).
  • Power: What Is It and Why Do We Care? Understanding Power and Its Implications,” Beyond AP Statistics, USCOTS, June, 2023.
  • “Teaching Introductory Statistics with GAISE: Statistical Investigation Process, Multivariable Thinking, Simulation-Based Inference,” with A. Rossman, Clark College, April, 2023.
  • Promovienido el Pensamiento Estadístico: Implicaciones y Desafíos para la Enseñanza,” with Elsa Medina, Pontificia Universidad Católica de Valparaíso, April, 2023.
  • “Using Data Skills and Statistical Thinking to Investigate and Identify Social Inequalities,” with S. Roy, 6th annual social justice teach in, College of Liberal Arts, Cal Poly, Feb. 17, 2022
  • “Expanding Opportunities for Teaching Multivariable Thinking in Algebra-based First and Second Statistics Courses,” with N. Tintle, K. McGaughey, S. Roy, T. Swanson, and J. VanderStoep, USCOTS (online), June, 2021
  • “Activities for Online Teaching with the Simulation-Based Inference Approach,” with N. Tintle, Wiley webinar, March, 2021.
  • “Simulation-based Inference in Introductory Statistics: Keeping it Real in a Virtual Environment,” with N. Tintle and A. Sabbag, Wiley Webinar, July, 2020.
  • “Building Student Intuition Through Simulation-Based Inference,” ASA-AMATYC joint committee, online presentation, June, 2020.
  • Workshops for community college teachers, with A. Rossman at Rio Hondo, Diablo Valley, Riverside Community College (2019-2020)
  • “The Six-Step Process of Conducting Statistical Investigations,” with R. Carver, NCTM Annual Meeting, Chicago, April, 2020.
  • “Active-learning in an Online Environment” (with A. Sabbag), Wiley webinar, March, 2020.
  • “Teaching Statistics with Simulation-Based Inference,” with N. Tintle, online workshop, April, 2020.
  • co-presenter,Multivariable Thinking Across the Curriculum,” eCOTS, May 2020.
  • “Preparing for the 2020 AP Statistics Exam”, with R. Carver, online workshop, May, 2020.
  • Secondary teacher training, Invited workshop, UN Statistics Outreach and Training Initiative, St. George’s, Grenada, Dec 2019
  • “Using Data Literacy as a Tool to Promote Social Justice,” with S. Roy, Change the Status Quo Conference, Feb. 23, 2019, Cal Poly-San Luis Obispo
  • “Visualizing Key Statistical Concepts,” Invited presenter, region eCOTS satellite, CSU Channel Islands, May, 2018
  •  “Probability Models,” with A. Rossman, Beyond AP Statistics Workshop, Baltimore, MD, August 3, 2017
  • “Teaching Introductory Statistics with Simulation-Based Inference,” with A. Rossman, P. Lock, and R. Lock, Mathfest Minicourse, Chicago, IL, July 27, 29, 2017
  • “Teaching Introductory Statistics with Simulation-Based Inference,” with A. Rossman, T. Swanson, J. VanderStoep, pre USCOTS workshop, Penn State, May 17-18, 2017
  • “Teaching Introductory Statistics with Simulation-Based Inference,” with A. Rossman, Cuesta College, Feb. 4, 2017; Ventura College, Feb. 11, 2017
  • MAA workshop presenter, “Using interactive dynamic technology in teaching introduction statistics: Simulation-based inference,” Atlanta, January 7, 2017
  • Pre-workshop for AMATYC, Teaching Introductory Statistics with Simulation-Based Inference,” with A. Rossman, R. Gould, and N. Tintle, Denver, November 16, 2016
  • “Teaching Introductory Statistics with Simulation-Based Inference,” with K. McGaughey, MAA Minicourse, MathFest, Columbus OH, August 5-6, 2016
  • “Sliding Down Classification and Regression Trees,” Beyond AP Statistics workshop, Chicago, 2016
  • “Teaching Introductory Statistics with Simulation-Based Inference,” with N. Tintle, A. Rossman, and A. Sabbag, workshop preceding Joint Statistical Meetings, Chicago, July 30, 2016
  • AP Statistics workshop for experienced teachers, Atlanta, July 5-8, 2016
  • “Teaching the Statistical Investigation Process with Simulation-Based Inference,” with N. Tintle, workshop for eCOTS, May 17, 2016
  • Teaching Introductory Statistics with Simulation-Based Inference,” with A. Rossman, webinar for AMATYC, April 7, 2016
  •  “Teaching the Statistical Investigation Process with Simulation- and Randomization-Based Inference,” with N. Tintle, G. Cobb, A. Rossman, and S. Roy, a 1.5 day workshop preceding USCOTS, Penn State, May 27-28, 2015
  • Teaching the Statistical Investigation Process with Randomization-Based Inference,” with R. Lock, S. Roy, and T. Swanson, MAA Ancillary Workshop, Joint Mathematics Meetings, San Antonio, January 9, 2015
  • Faculty Development Workshop: Teaching the Statistical Investigation Process with Simulation and Randomization-Based Inference, with A. Rossman, S. Roy, N. Justice, and A. Sabbag, sponsored by CAUSE, Mesa AZ, March 6-7, 2015
  • “Modifying introductory courses to use simulation methods as the primary introduction to statistical inference,” workshop following ICOTS-9 (international conference on teaching statistics), with K. Morgan, R. Lock, A. Rossman, and N. Tintle, Flagstaff, AZ, July 19, 2014
  • “Teaching the Process of Statistical Investigations with a Randomization-Based Curriculum,“ MAA PREP Workshop, San Luis Obispo, June 24-27, 2014.
  • Teaching the Statistical Investigation Process with Randomization-based Inference, Workshop for eCOTS (electronic conference on teaching statistics), with N. Tintle, May 22, 2014

 

Invited Posters

  • “Promoting Data Literacy with Social Justice Investigations,” with J. Louie, S. Roy, E. Fagan, and J. Stiles, 2021 STEM For All Video Showcase.
  • Louie, J., Roy, S., Chance, B., Stiles, J., & Fagan, E. (2021). Promoting interest and skills in statistical and multivariable thinking with social justice data investigations. In Proceedings of the International Association for Statistical Education (IASE) 2021 Satellite Conference, Online Conference.
  • Virtual poster, “Promoting interest in statistics with social justice data investigations” with J. Louie, S. Roy, E. Fagan, and J. Stiles, PME-NA 43 Conference, October, 2021.
  • “Building Statistical Thinking with Social Justice Investigations and Social Science Data,” J. Louie, S. Roy, E. Fagan, J. Stiles, and W. Finzer, SREE Spring 2020 Conference.
  • “Does Simulation-Based Inference Improve Student Understanding/Retention/Attitudes?” with N. Tintle, Invited e-poster, Joint Statistics Meetings, August 2019.
  • “Broadening the Impact and Evaluating the Effectiveness of Simulation-based Curricular for Introductory Statistics,” N. Tintle, B. Chance, S. Roy, T. Swanson, J. VanderStoep, Atlanta, GA, January 2017
  • “Connecting the Logic and Scope of Inference with Data Production,” Soma Roy, Beth Chance, and Allan Rossman, USCOTS 2015, State College, PA.
  • "Helping Students "Discover" and Learn Statistical Concepts by Doing," Soma Roy, Allan Rossman, Beth Chance, Karen McGaughey, & Kevin Ross, 2015 Learn by Doing Conference, Cal Poly, May 15, 2015.
  • Presented a poster on the development and evaluation of the hybrid version of Stat 217, Cal Poly (with S. Roy, and with R. Andersen and M. Shaffer – Cal Poly undergraduates), April, 2010.
  • “Concepts of Statistical Inference: A Randomization-Based Curriculum,” (with A. Rossman, G. Cobb, J. Holcomb), invited poster presentation at 2008 CCLI Conference, Washington DC, August 2008.

 

Presentations: Colloquia

  • “Teaching Statistics with Simulation-Based Inference” with Nathan Tintle at UC Riverside (2/9/21), University Illinois-Urbana Champaign (2/25/21)
  • “What’s Next? (After Stat 101),” George Mason University, April 2020.
  • “Student Performance in Curricula Centered on Simulation-Based Inference,” University of Southern California, November, 2019.
  • “Where Do We Go From Here?,” San Diego State University, April 2018
  • “Assessing the Effectiveness of Simulation-Based Inference in Learning Statistics,” Middle Tennessee State University, April 2018
  • “Where Do We Go From Here?” Middle Tennessee State University,  April 2018
  • “Student Performance in (Stat 101) Curricula Centered on Simulation-Based Inference,” CSU Channel Islands, October 2, 2017
  • “Student Performance in Curricula Centered On Simulation-Based Inference,” San Diego State University, October 12, 2015
  • “A Data-Oriented, Active Learning, Post-Calculus Introduction to Statistical Concepts, Applications, and Methods,” with A. Rossman, Cleveland State University, November, 2004.
  • “Current Issues in Statistics Education,” Duke University, September, 2004.
  • “Implementing Active Learning in Your Classroom” with A. Rossman, presented for the Cal Poly Center for Teaching and Learning, Feb., 2003, Jan, 2004; Feb, 2005.
  • “Activities for Exploring Statistical Ideas at the Post-Calculus Level,” with A. Rossman, Claremont Colleges Statistics Colloquium, March, 2003.
  • “Using Simulation Activities to Improve Students' Reasoning: An Example of Classroom Based Research in Statistics Education,” presented at University of Wales Annual Statistics Conference; University of Glasgow Department of Mathematics Seminar, April, 2002.
  • “Using Simulation to Teach and Learning Statistics,” presented at RSS Centre, London; Nottingham-Trent University, Nottingham, April, 2002.
  • “Preparing for the AP Exam,” presented at Atascadero High School, February, 2001, and Ventura High School, March, 2001.

 

Funded Grants: Principal Investigator

·       Co-Principal Investigator for “Expanding and assessing the art and practice of statistical thinking in post-secondary courses,” (Nathan Tintle, PI) NSF IUSE 2235355, 2023-2027, $800,000.

·       Co-Principal Investigator for “Integrating the statistical investigation process, data visualization, and simulation into high school statistics,” (Soma Roy, PI), NSF DRK12 2201121, June 15, 2022 – May 31, 2025, $449,984.

·       Co-Principal Investigator for “Strengthening Data Literacy Across the Curriculum,” with Education Development Center, NSF DRK12 1813956, 7/1, 2018 – 6/30, 2021, $1,021,760.

·       Co-Principal Investigator for “RCN-UBE: Statistical Thinking in Undergraduate Biology (STUB) Network: A network for coordinating the teaching and assessment of statistical thinking in introductory biology,” with Dordt College, August 15, 2017 – July 31, 2022.

·       Co-Principal Investigator for “Preparing graduate students for careers in teaching statistics and data science,” with American Statistical Association, NSF/DMS, August 1, 2018 – July 31, 2019.

·       Co-Principal Investigator for “Developing a meaning-focused curriculum in simulation-based inference for a second course in introductory statistics,” with Dordt College and Hope College, NSF/IUSE/EHR, Sept. 1, 2016 – August 31, 2018.

  • Co-Principal Investigator for “Broadening the impact and evaluating the effectiveness of randomization-based curricula for introductory statistics” NSF/TUES/DUE- Phase II. $550,000. Jan 1, 2014-Dec 31, 2016.
  • Co-Principal Investigator for “Developing an innovative randomization-based introductory statistics curriculum,” a collaborative project with Cal Poly, Dordt College, and Hope College, resubmitted May, 2011 to NSF TUES Type I Project, Award #1140629, January 2012 – June 2013, $199,924.
  • Co-Principal Investigator (with A. Rossman, M. Carlton, G. Cobb, and J. Holcomb) for “The CATALST Project: Change Agents for Teaching and Learning Statistics,” a collaborative research project with the University of Minnesota (J. Garfield, A. Zieffler, R. delMas), submitted January, 2008 to NSF/CCLI Program, Phase II, August 2008 – August 2011, $181,686.
  • Co-Principal Investigator for “Concepts of Statistical Inference: A Randomization-Based Curriculum,” submitted May 2006 (with A. Rossman, M. Carlton, G. Cobb, and J. Holcomb), NSF/CCLI Program, Phase I Award #0633349, 2007-2008, $149,842.

 

Grants: Consultant

  • Disciplinary Advisory Group, Digital Promise for Gates Foundation Grant (2021-2025)
  • Advisory Board, GraphSmarts:  New Tools For Improving Graphing Practices Among Biology Students, NSF Grant # 1726180 (2021-2022)
  • Advisory Board, STAT-LM (Statistics Learning Map Project), NSF EAGER grant, Jonathan Templin, Principal Investigator, University of Kansas, November, 2016-2018.
  • Evaluator for Cal Poly Noyce Scholars Program for T. Grundmeier and E. Medina, NSF Grant 1239827, $798,097, Sept. 2010 – Aug. 2017, 0.1 summer months (year 2-5).
  • Participant (Delphi process), STEM Educational Change Efforts in Higher Education: A Meta-Synthesis of Activities, Strategies, Concepts, and Theories across Disciplines. National Science Foundation, Research and Evaluation on Education in Science and Engineering (REESE)
  • Advisor for NSF Grant “Adapting and Implementing Innovative Materials in Statistics Courses (AIMS),” 2006-2010,   J. Garfield and R. delMas, Principal Investigators.
  • Advisor for NSF Grant “Instructional Modules in Educational Measurement and Statistics for School Personnel, 2004-present, R. Zwick, Principal Investigator.
  • Consultant/Workshop Developer/Presenter for NSF Grant (INSPIRE), 2002-2004, R. Peck, R. Gould, Principal Investigators.
  • Consultant, National Science Foundation Grant “Tools for Teaching and Assessing Statistical Inference,” 1998-2000, J. Garfield and R. delMas, Principal Investigators.

 

Frost Scholar Research Program

  • 2022: Sophia Chung, Brandon Brownell
  • 2021: Sean Pepper, Katherine Chan (Summer), Sean Pepper (Spring)
  • 2020: Ajay Patel, Cecilia Guzman (Summer)
  • 2019: Jason Lu, Maddy Ansbro, Maeve Calanog, Harry Yan (Summer)
  • 2017: (Separate NSF funding): Rowan Kardos, Danielle Simmons (Summer)
  • 2016: Stephanie Mendoza, Brannden Moss (Summer)

 

Senior Project Advising:

  • Mackenzie Noto (2019), Color Discrimination Test and Cancer Survivor Exercise Data Consulting
  • Shea Reynolds (2019), Student Attitudes in Introductory Statistics Courses With and Without Simulation Based Inference
  • Stephanie Mendoza (2018), Retention of Statistical Concepts in Introductory Statistics Curriculums
  • Tessa McDonnell (2018), Evaluating Effectiveness of Educational Interventions
  • Jenna Harrelson (2018), How Random is That? Statistical Concepts in Elementary Education
  • Janelle Dunn (2017), Exploring Statistical Literacy at the Elementary Level
  • Chandra Anderson and Danielle Brown  (2017), Data Science Specialization
  • Upneet Cheema (2017), Exploring Methods for Introducing Confidence Intervals
  • Leticia Esparanza (Mathematics) (2015), Student Performance in Curricula Centered on Simulation-based Inference: A continuation of a previous study
  • Jimmy Wong (2014), Modelling Assessment Data with a Hierarchical Approach
  • Melissa Bowler (2014), Results of a Statistics alumni survey
    • Cited in ASA Guidelines for Undergraduate Programs in Statistics
  • Veronica Hernandez-Medina (2014), Analyzing Pharos SignUp at California Polytechnic State University Robert E. Kennedy Library Poly Connect Lab
  • Kaity Sutter (2013), Analysis of momentum and scoring systems in NCAA volleyball
  • Josh Beemer (2013), Evaluation of student attitudes with randomization based curriculum
    • Presentation at 2013 Joint Statistical Meetings
  • co-advisor, Maro Tsiifte (2012), Evaluation of AP Statistics grading process
  • Alex Herrington (2011), Teaching Statistics
  • Eva Klentos (2011), Effects of Scoring Systems in Volleyball
  • Michelle Shaffer (2010), Student Perceptions of Statistics
  • Brian Verbakken (2010), p-value, What is that again?
  • Rebecca Andersen (2009), Stat 217 Hybrid Pilot Course
  • co-advisor, Oliver Mead (2009), Understanding of the Statistical Procedure of Confidence Intervals as a way of Understanding Oneself and Their Field of Study
  • co-advisor, Emily Tjeten (2009), Assessing Students’ Understanding of Statistical Significance
  • Mary Ellen DeHaven (2008), A Website for GE Statistics Students
  • Esther Holmes (Computer Science) (2006), Secretary Problem Simulation
  • Tiffany Evensen (Mathematics) (2005), Factors That Influence a Students’ Choice of Major
  • co-advisor, Amanda King (2005), Survey of Statistical Background and Habits of California Secondary Teachers
  • co-advisor, Katie Pesicka (2004), Assessing the Effectiveness of Technology in a Classroom Setting
  • Andrew Asplund (2002), Investigations into Statistics Education: Survey and Review

 

Master’s Committees

  • Henrik Lee, IME, 2015
  • Jesse Bukenberger, IME, 2014
  • Advisor, Eric Freeman, IME, 2014
  • Stella Tan, Environmental Engineering, 2011
  • John Vu, Computer Science, 2010
  • Courtney Ward, Environmental Engineering, 2009

 

Editorial/Review Work:

  • Assistant editor, Statistical Education Research Journal, 2006-2013, 2018-2019
  • Reviewer, Statistics in Schools, US Census Bureau, with R. Peck, 2016
  • Advisor, Common Vision project (NSF DUE-1446000), 2014-2015
  • Mentor, TANGO project (NSF DUE- 1432251), 2014-2019
  • Expert Stat Panel Item Review, College Board, June 2015
  • Statway reviewer, Dana Center, UT-Austin, 2011
  • Publisher reviews
    • Association for Women in Mathematics chapter
    • Practice Data Analysis with JMP, SAS Publishing
    • Mathematics for Teachers, Cengage
    • NCTM Reasoning and Sense Making, NCTM
    • Stat2Labs, Springer
    • 3rd edition of Statistical Methods for the Social Sciences, Prentice Hall.
  • PhD Thesis Review, University of Queensland, April 2006.
  • Co-editor, STATS Magazine for Students, Appointed January, 2002-2004.
    • ASA Committee on Publications.
  • Editorial Board Member: STATS Magazine for Students. Appointed January, 1999-2001.
  • Book Reviews Editor: Journal of the American Statistical Association. Appointed January, 1998-2001.
  • Editorial Board Member: Journal of Statistics Education. Appointed January, 1997-2000.
  • Reviewer: Educational Technology & Society, Journal of Computational and Graphical Statistics, Mathematical Thinking and Learning, College Mathematics Journal, Addison Wesley (Longman), Prentice Hall, Freeman, Springer Verlag, Journal of Statistics Education, American Statistician, Journal of Research in Mathematics Education, IIE Transactions, Perceptual and Motor Skills (Psychological Reports), Princeton University Press, Swedish Council for the Renewal of Higher Education, IASE Satellite Conference on Statistics Education and the Communication of Statistics, Statistics Education Research Journal, Key College Publishing, The American Statistician, Teaching Statistics, ICOTS-7, ICOTS-8, SRTL-9, Variety in Statistics Assessment Project, ICME 14.

 

Recent Professional Service:

  • Waller Education Award Committee, 2020-2022
  • Judge, Undergraduate Statistics Project Competitions, Spring 2021, Summer 2023
  • Co-originator, Presenter, Preparing to Teach Workshops, 2018-2022
  • Chair-elect/Chair/Past Chair, Section on Statistical Education, American Statistical Association, 2017-2019
  • Section on Statistical Education Mentoring Committee, 2017-2022
    • Mentor 2019-2022
  • External reviewer, Department of Statistics, Miami University, Fall 2016
  • External judge for faculty achievement award, Johnson County Community College, 2016
  • American Statistical Association undergraduate guidelines working group, 2013-2015.
  • Assistant Chief Reader, AP Statistics Program, 2009-2014.
  • Search Committee, CHANCE Magazine, 2013-2014.
  • National Science Foundation StatSNSF subcommittee, 2013-2014.
  • Best JSE Paper Awards Committee, appointed by American Statistical Association, 2011-2017.
  • External program reviewer, Arizona State University, New College

 

Conference Program Committees:

  • Planning committee (and attendee) for an ASA-sponsored symposium, “A World beyond P<0.05: Scientific Method for the 21st Century.”
  • Program committee, Electronic Conference on Teaching Statistics, May, 2016.
  • Co-Topic Convenor, International Conference on Teaching Statistics (ICOTS 8) – Assessment, July, 2010.
  • Scientific Committee Member, Statistical Reasoning, Thinking and Learning (SRTL-6) – The Role of Context and Evidence in Informal Inferential Reasoning, July, 2009.
  • Co-chair, International Association for Statistical Education Satellite Conference, On Assessing Student Learning, Portugal, August, 2007.
  • Co-editor Proceedings of the International Conference on Teaching Statistics (ICOTS 7) and International Program Committee, Brazil, July, 2006.
  • Advisory and Organizing Committee, Fourth International Forum on Statistical Reasoning, Thinking and Literacy (SRTL-4), New Zealand, August, 2005.
  • Program Committee, 2005 MathFest
  • Conference organizer, ARTIST Roundtable Conference on Assessment in Statistics, Appleton, WI, August, 2004.

 

Cal Poly Service:

·        CSM Committee on Diversity, Equity, and Inclusion (2021-2023)

·        Cal Poly Graduation usher, Fall 2021

·        Statistics Department student grant committee

·        Cal Poly Campus Health and Well Being, Isolation and Quarantine Caller (2020-2021)

  • Outreach for International Students, Spring 2021
  • Lecturer Search Committee, Statistics, Spring 2021
  • Technology Fellow, Spring 2020
  • Local Connections Sponsor, 2018-2019
  • Statistics Department grader coordinator
  • Faculty Search Committee, IME Department, 2017-2018
  • Search Committee, Association Dean of Library, Spring 2015
  • Liberal Studies Advisory Committee, 2014-2017
  • Master Plan Advisory Committee (Academic/Instructional Space), 2014-2015
  • Interviewer, CSU International Program, 2014
  • Department Scholarship Committee, 2013-present
  • Department Curriculum Committee, 2015-present
  • University Academic Assessment  Council, 2012-2019
    • Information Literacy Working Group
  • College Assessment Committee, 2012- 2020.

o   Statistics Department Assessment coordinator, 2012-

o   General Education Area B/F evaluation of Stat 130, 217, 221

  • Co-Presenter, CTL Workshop on Scholarship of Teaching and Learning, Oct. 2011
  • Student advisor, 2008-present
  • Assessment Taskforce, 2011
  • Guest presentation for Math 202, 2010, 2011
  • Statistics Department Mentor, 2009-present
  • Faculty mentoring program, 2007-2009.
  • Writing Proficiency Exam Reader, Feb., 2005; April, 2005;  Feb., 2006.
  • College Professional Leave Committee, 2004-2006.
  • Committee on Grants, 2002-2006.
  • Faculty search subcommittee, 2005-6.
  • Faculty Associate, 2000-2003.
  • Lead presenter, Statistics Workshop, Cal Poly Statistics Department, July, 2001; July, 2002.
  • Guest Lecture for ED 562
  • Judge for CLA Professor of the Year

 

Member:

  • Elected member of International Statistical Institute 2018
    • American Statistical Association; Section on Statistics and Data Science Education
    • Mathematical Association of American; SIGMAA on Statistics Education
  • International Association of Statistics Education
  • National Council for Teachers of Mathematics
  • American Educational Research Association (former member)
  • Institute for Operations Research and the Management Sciences (former member)

 

Volunteer

·       County of San Luis Obispo Health Agency, Vaccine Outreach, Canvassing, Non-medical assistance, Summer 2021