JSM 2016 Online Program

Sessions Were Renumbered as of May 19.

Legend:
CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Activity Details

26 * !	Sun, 7/31/2016, 2:00 PM - 3:50 PM	CC-W176c
Distinguishing Between Statistics Education for Undergraduate and Graduate Nonstatistics Major Students — Topic Contributed Panel
Section on Statistical Education , Section on Teaching of Statistics in the Health Sciences
Organizer(s): Matthew J. Hayat, Georgia State University
Chair(s): Jenna Krall, Emory University
2:00 PM	Distinguishing Between Statistics Education for Undergraduate and Graduate Nonstatistics Major Students
Panelists:	Matthew J. Hayat, Georgia State University Michael Jiroutek, Campbell University MyoungJin Kim, Illinois State University Todd Schwartz, The University of North Carolina at Chapel Hill
3:45 PM	Floor Discussion

72	Sun, 7/31/2016, 4:00 PM - 5:50 PM	CC-W185a
Alternative Classroom Strategies: Flipped, Blended, and Others — Contributed Papers
Section on Statistical Education , Section on Teaching of Statistics in the Health Sciences , Statistics in Business Schools Interest Group
Chair(s): Adam Sullivan, Brown University
4:05 PM	Flipping an Introduction to Applied Statistics Course for Mathematics Teacher Candidates — Ananda Jayawardhana, Pittsburg State University
4:20 PM	Some Observations of Students' Performance and Attitudes Toward a Flipped Classroom for Introductory Statistics — Carl Lee, Central Michigan University
4:35 PM	Restructuring the Introductory Statistics Course to Free Class Time for Exploration and Deeper Understanding — Bonnie Moon, Brigham Young University ; Craig Johnson, Brigham Young University ; Ryan Cromar, Brigham Young University
4:50 PM	Continual Improvement Using Data by Comparing the Online Vs Face-to-Face Introductory Statistics Course — Ryan Cromar, Brigham Young University ; Bonnie Moon, Brigham Young University
5:05 PM	Investigating the HyFlex (Hybrid-Flexible) Model of Course Delivery in an Introductory Statistics Course — Jackie Bryce Miller, University of Michigan
5:20 PM	Prior Online and Blended Experience: Does It Affect Outcomes in a Blended Course? — James Schmidt, University of Nebraska - Lincoln ; Carlos Asarta, University of Delaware
5:35 PM	Mary Worth Teaches Statistics via Scripting — James J. Cochran, University of Alabama

78 *	Sun, 7/31/2016, 4:00 PM - 5:50 PM	CC-W184d
For the Love of the Game: Applications of Statistics in Sports — Contributed Papers
Section on Statistics in Sports , Section on Statistical Education
Chair(s): Andrew Swift, University of Nebraska - Omaha
4:05 PM	To Go or Not to Go: Fourth Down Analysis in the NFL — Dan Nettleton, Iowa State University ; Joshua Zimmerman, Iowa State University
4:20 PM	Estimating NCAA Football Coaches' Abilities: An Application of Item Response Theory — Brandon LeBeau, University of Iowa ; Andrew Zieffler, University of Minnesota ; Kyle Nickodem, University of Minnesota
4:35 PM	Does the Threat of Suspension Curb Dangerous Behavior in Soccer? A Case Study from the Premier League — Douglas VanDerwerken, U.S. Naval Academy ; Jacek Rothert, U.S. Naval Academy ; Brice Merlin Nguelifack, U.S. Naval Academy
4:50 PM	An Examination of Statistical Disclosure Issues Related to Publication of Aggregate Statistics in the Presence of a Known Subset of the Data Set Using Baseball Hall of Fame Ballots — Gregory Matthews ; Petala Gardenia da Silva Estrela Tuy, Loyola University Chicago
5:05 PM	Collegiate Football Ticket Sales in El Paso — Thomas Fullerton, The University of Texas at El Paso ; Wesley A. Miller, The University of Texas at El Paso
5:35 PM	Floor Discussion

213485	Sun, 7/31/2016, 4:30 PM - 6:00 PM	H-4G
Isolated Statisticians Business Meeting — Other Cmte/Business
Isolated Statisticians , Section on Statistical Education
Chair(s): KB Boomer, Bucknell University

213591	Mon, 8/1/2016, 7:00 AM - 8:30 AM	H-PDR6
Section on Statistical Education Officers (Closed) — Other Cmte/Business
Section on Statistical Education
Chair(s): Nicholas Jon Horton, Amherst College

91	Mon, 8/1/2016, 7:00 AM - 8:15 AM	CC-W375a
Section on Statistical Education A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Statistical Education
Organizer(s): Dalene K. Stangl, Duke University
ML04:	How to Integrate Open-Access and Open-Source Educational Materials — Andrew Bray, Reed College ; Mine Cetinkaya-Rundel, Duke University

CE_15C	Mon, 8/1/2016, 8:00 AM - 12:00 PM	CC-W475a
Bootstrap Methods and Permutation Tests for Doing and Teaching Statistics (ADDED FEE) — Professional Development Continuing Education Course
ASA , Section on Statistical Education
Instructor(s): Tim Hesterberg, Google
8:00 AM	Bootstrap Methods and Permutation Tests for Doing and Teaching Statistics (ADDED FEE) — Tim Hesterberg, Google

129	Mon, 8/1/2016, 8:30 AM - 10:20 AM	CC-W178b
Advancing Statistical Literacy — Contributed Papers
Section on Statistical Education , Section on Teaching of Statistics in the Health Sciences , Statistics in Business Schools Interest Group
Chair(s): James Schmidt, University of Nebraska - Lincoln
8:35 AM	Top 5 Reasons You Can't Blame Students for Not Getting Inference — Christopher J. Malone, Winona State University
8:50 AM	Augsburg Student Evaluations of STAT 102: Social Statistics for Decision Makers — Milo Schield, Augsburg College
9:05 AM	Making Connections and Understanding Statistics: Students' Ratings of the Utility of Key Concepts in the Introductory Statistics Course — Rossi A. Hassad, Mercy College
9:20 AM	Effect Size Really Does Matter — Jeffrey Witmer, Oberlin College
9:35 AM	Emphasizing Critical Thinking in Introductory Statistics — Roger Woodard, North Carolina State University
9:50 AM	Students' Understanding of the Expected Value of a Random Variable — Hyung Kim ; Tim Fukawa-Connelly, Temple University
10:05 AM	The Importance of Long-Term Retention: Preparing Students for the Workforce, Not Just for Our Tests — Michael Posner, Villanova University ; Meghan Buckley, Villanova University

159 *	Mon, 8/1/2016, 10:30 AM - 12:20 PM	CC-W194b
Biostatistical Literacy: How Best to Teach Medical and Public Health Professionals What They Need to Know About Statistics — Topic Contributed Papers
Section on Teaching of Statistics in the Health Sciences , Section on Statistical Education , International Chinese Statistical Association , Statistics Without Borders
Organizer(s): Ann M. Brearley, University of Minnesota School of Public Health
Chair(s): Jane Monaco, The University of North Carolina Gillings School of Global Public Health
10:35 AM	The Results of Blended Instruction in Quantitative Methods in Public Health: A Pilot Study — Adam Sullivan, Brown University ; Marcello Pagano, Harvard
10:55 AM	Online Introductory Biostatistics for Graduate Students: Successes and Failures Teaching a Diverse Student Body — Rebecca Andridge, The Ohio State University
11:15 AM	Teaching Biostatistical Literacy: A Flipped-Classroom Approach — Ann M. Brearley, University of Minnesota School of Public Health
11:35 AM	Co-Teaching a Research Design Course to Clinicians — Amy Laird, Oregon Health & Science University
11:55 AM	Biostatistics Training of Medical Students Through Their Own Research — Constantine Daskalakis, Thomas Jefferson University
12:15 PM	Floor Discussion

170	Mon, 8/1/2016, 10:30 AM - 12:20 PM	CC-W181b
SPEED: Statistics for Education and Social Sciences Research — Contributed Speed
Section on Statistical Education , Social Statistics Section
Chair(s): Ulrike Genschel, Iowa State University
10:35 AM	Comparisons of Math Anxiety Levels and Study Habits Among Hispanic Students — Xiaohui Wang, The University of Texas Rio Grande Valley ; Cristina Villalobos, The University of Texas Rio Grande Valley ; Olga Ramirez, The University of Texas Rio Grande Valley ; Luis Fernandez, The University of Texas at Austin
10:40 AM	Political Change Strategy Preference — Catherine Durso, University of Denver ; Cass Dorff, University of Denver
10:45 AM	Using Introduction to Statistics Courses to Teach Quantitative Literacy — Cathy Poliak, University of Houston
10:50 AM	Incorporating Big Data into an Introductory Statistics Course — Paul Stephenson, Grand Valley State University ; Laura Kapitula, Grand Valley State University
10:55 AM	Unified Definition of Effect Size and Universal Labeling of Its Magnitude — Panduan An, Ohio University ; Wei Lin, Ohio University
11:00 AM	Classroom Investigations of Recent Research Concerning the Gamblers' Fallacy — Kevin Ross, Cal Poly
11:05 AM	Causal Inference with a Continuous Treatment and Outcome: Alternative Estimators for Parametric Dose-Response Functions — Douglas Galagate
11:10 AM	The Evaluation of a Pedagogical Tool for Quantitative Literacy — Gerald Iacullo, Berkeley College
11:15 AM	Multiple Regression Replaces the Need for a Tailor — Allison Davidson, Muhlenberg College
11:30 AM	Examples of How a P-Value Interpretation Depends on the Underlying Statistical Philosophy — Andrew Neath, Southern Illinois University
11:35 AM	Investigating How the Wording of a Survey Question Can Change the Results — Phyllis Curtiss, Grand Valley State University
11:40 AM	Finding Event Transitions in Twitter Data — Ame Osotsi ; Qunhua Li, Penn State University
11:45 AM	Effect Comparison in Nonlinear Dyadic Mixed-Effects Models Between Equations — Christoph Kern, University of Duisburg-Essen ; Petra Stein, University of Duisburg-Essen
11:50 AM	The Unexamined Statistician Life — Ellen Endriss, Career Center
11:55 AM	Pushing the Boundary Between Tools for Learning and for Doing Statistics — Amelia McNamara, Smith College
12:05 PM	Are Volcanic Eruptions Increasing? An Example of Teaching Data Wrangling and Visualization in Stat 2 — Kelly McConville, Swarthmore College
12:10 PM	Performing Comparison of Normality Tests — Danush Wijekularathna, Troy University ; Ananda Manage
12:15 PM	Getting Past the Gatekeeper: Does Randomization-Based Curriculum in Introductory Statistics Promote Student Success? — Laura Hildreth, Montana State University ; Jim Robison-Cox, Montana State University ; Jade Schmidt, Montana State University

174	Mon, 8/1/2016, 10:30 AM - 12:20 PM	CC-W194a
Students Doing and Communicating About Statistics — Contributed Papers
Section on Statistical Education , Statistics in Business Schools Interest Group
Chair(s): David Jacobson, Metropolitan State University
10:35 AM	Incorporating Service Learning into an Undergraduate Statistical Consulting Course — Samantha Bates Prins, James Madison University
10:50 AM	Project SCHOLAR: Statistical Consulting Experiences for Undergraduates — Tracy Morris, University of Central Oklahoma ; Lance Ford, University of Central Oklahoma
11:05 AM	Measured Community Engagement Outcomes Increases in a Business Statistics Class — Amy Phelps, Duquesne University
11:20 AM	A Cross-Discipline Modeling Capstone Experience — Marian Frazier, Gustavus Adolphus College ; Thomas LoFaro, Gustavus Adolphus College
11:35 AM	Spatial Data Analysis: An Elective Course for Advanced Undergraduates — Laura Boehm Vock, Gustavus Adolphus College
11:50 AM	Do the Write Thing: Bolstering Student Comprehension in Introductory Statistics Courses — Bernard Dillard, Fashion Institute of Technology
12:05 PM	Building Communication Skills in a Theoretical Statistics Course — Amy Wagaman, Amherst College

210	Mon, 8/1/2016, 12:30 PM - 1:50 PM	CC-W375a
Section on Statistical Education P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistical Education
Organizer(s): Dalene K. Stangl, Duke University
ML17:	Specifications Grading in a Statistics Course — Eric Reyes, Rose-Hulman Institute of Technology
ML18:	LISA 2020: Educating Statistical Collaborators — James Rosenberger, Penn State University ; Eric Vance, Laboratory for Interdisciplinary Statistical Analysis
ML19:	Incorporating Visual Literacy Standards in an Introductory Statistics Course — Jill Young
ML20:	Teaching Statistical Collaboration — Eric Vance, Laboratory for Interdisciplinary Statistical Analysis

229 * !	Mon, 8/1/2016, 2:00 PM - 3:50 PM	CC-W183a
Teaching a Large Introductory Statistics Course: Making It Work! — Invited Panel
Section on Statistical Education , Statistics in Business Schools Interest Group
Organizer(s): Michelle G. Everson, The Ohio State University
Chair(s): Roger Woodard, North Carolina State University
2:05 PM	Teaching a Large Introductory Course: Making It Work!
Panelists:	Megan Mocko, University of Florida Stacey Hancock, University of California at Irvine Christopher Wild, University of Auckland Brenda Gunderson, University of Michigan
3:45 PM	Floor Discussion

240 *	Mon, 8/1/2016, 2:00 PM - 3:50 PM	CC-W182
Awareness and Quality Improvements for the Joint ASA/NCTM Poster Competition — Topic Contributed Panel
Section on Statistical Education
Organizer(s): Richard M. Heiberger, Temple University Fox School of Business
Chair(s): Richard M. Heiberger, Temple University Fox School of Business
2:05 PM	Observations on the Type and Quality of Graphs Used in the ASA/NCTM Annual Poster Competition during the Years 2013 to 2016
Panelists:	Juergen Symanzik, Utah State University Christine Franklin, University of Georgia Rodney Jee, Discover Financial Services Rebecca Nichols, ASA Naomi B. Robbins, NBR
3:45 PM	Floor Discussion

241	Mon, 8/1/2016, 2:00 PM - 3:50 PM	CC-W176c
Professional Opportunities at Smaller Colleges and Universities — Topic Contributed Panel
Section on Statistical Education
Organizer(s): KB Boomer, Bucknell University
Chair(s): Patricia Humphrey, Georgia Southern University
2:00 PM	Professional Opportunities at Smaller Colleges and Universities
Panelists:	KB Boomer, Bucknell University Douglas Andrews, Wittenberg University Monika Hu, Vassar University Adam Loy, Lawrence University Eric Reyes, Rose-Hulman Institute of Technology
3:45 PM	Floor Discussion

267	Mon, 8/1/2016, 2:00 PM - 2:45 PM	CC-Hall F1 West
SPEED: Statistics for Education and Social Sciences Research, Part 2A — Contributed Poster Presentations
Section on Statistical Education , Social Statistics Section , Statistics in Business Schools Interest Group
Chair(s): Genevera Allen, Rice University
11:	Comparisons of Math Anxiety Levels and Study Habits Among Hispanic Students — Xiaohui Wang, The University of Texas Rio Grande Valley ; Cristina Villalobos, The University of Texas Rio Grande Valley ; Olga Ramirez, The University of Texas Rio Grande Valley ; Luis Fernandez, The University of Texas at Austin
12:	Political Change Strategy Preference — Catherine Durso, University of Denver ; Cass Dorff, University of Denver
13:	Using Introduction to Statistics Courses to Teach Quantitative Literacy — Cathy Poliak, University of Houston
14:	Incorporating Big Data into an Introductory Statistics Course — Paul Stephenson, Grand Valley State University ; Laura Kapitula, Grand Valley State University
15:	Unified Definition of Effect Size and Universal Labeling of Its Magnitude — Panduan An, Ohio University ; Wei Lin, Ohio University
17:	Classroom Investigations of Recent Research Concerning the Gamblers' Fallacy — Kevin Ross, Cal Poly
18:	Causal Inference with a Continuous Treatment and Outcome: Alternative Estimators for Parametric Dose-Response Functions — Douglas Galagate
19:	The Evaluation of a Pedagogical Tool for Quantitative Literacy — Gerald Iacullo, Berkeley College
20:	Multiple Regression Replaces the Need for a Tailor — Allison Davidson, Muhlenberg College
The oral portion will take place during Session 213158

270	Mon, 8/1/2016, 3:05 PM - 3:50 PM	CC-Hall F1 West
SPEED: Statistics for Education and Social Sciences Research, Part 2B — Contributed Poster Presentations
Section on Statistical Education , Social Statistics Section , Statistics in Business Schools Interest Group , Statistics Without Borders
Chair(s): Genevera Allen, Rice University
11:	Examples of How a P-Value Interpretation Depends on the Underlying Statistical Philosophy — Andrew Neath, Southern Illinois University
12:	Investigating How the Wording of a Survey Question Can Change the Results — Phyllis Curtiss, Grand Valley State University
13:	Finding Event Transitions in Twitter Data — Ame Osotsi ; Qunhua Li, Penn State University
14:	Effect Comparison in Multilevel Structural Equation Models with Non-Metric Outcomes — Christoph Kern, University of Duisburg-Essen ; Petra Stein, University of Duisburg-Essen
15:	The Unexamined Statistician Life — Ellen Endriss, Career Center
16:	Pushing the Boundary Between Tools for Learning and for Doing Statistics — Amelia McNamara, Smith College
18:	Are Volcanic Eruptions Increasing? An Example of Teaching Data Wrangling and Visualization in Stat 2 — Kelly McConville, Swarthmore College
19:	Performing Comparison of Normality Tests — Danush Wijekularathna, Troy University ; Ananda Manage
20:	Getting Past the Gatekeeper: Does Randomization-Based Curriculum in Introductory Statistics Promote Student Success? — Laura Hildreth, Montana State University ; Jim Robison-Cox, Montana State University ; Jade Schmidt, Montana State University
The oral portion will take place during Session 213158

312	Tue, 8/2/2016, 8:30 AM - 10:20 AM	CC-W175b
Who Is a Statistics Educator? Attitudes, Preparation, and Practice — Contributed Papers
Section on Statistical Education , International Chinese Statistical Association , Statistics in Business Schools Interest Group
Chair(s): Benjamin Frisch, Friends Seminary
8:50 AM	If You Build It, They Will Come: Wisdom Gained and Lessons Learned from a Five-Year NSF Training Grant — Rebecca Nugent, Carnegie Mellon University ; Chad Schafer, Carnegie Mellon University
9:05 AM	Addressing Challenges to Implementing Active Learning for All Sections of Introductory Statistics at a Large University — Ginger Rowell, Middle Tennessee State University ; Lisa Holmes Green, Middle Tennessee State University ; Nancy Holmes McCormick, Middle Tennessee State University ; Scott Holmes McDaniel, Middle Tennessee State University ; Jeremy Holmes Strayer, Middle Tennessee State University
9:20 AM	Mathematics Teachers' Attitudes Toward Statistics and Their Attitudes Toward the Teaching Practices of College-Level Introductory Statistics — Angelica Castillo ; Xiaohui Wang, The University of Texas Rio Grande Valley ; Hyung Kim
9:35 AM	Introductory Statistics: Preparing In-Service Middle-Level Mathematics Teachers for Classroom Research — Jennifer Green, Montana State University ; April T. Kerby, Winona State University ; Erin E. Blankenship, University of Nebraska - Lincoln ; Kendra K. Schmid, University of Nebraska Medical Center ; Wendy M. Smith, University of Nebraska - Lincoln
9:50 AM	The Development of Exemplary Advanced Placement Statistics Teachers — Douglas Whitaker, University of Florida
10:05 AM	Investigating the Teaching of High-School Statistics with Technology Through the Use of Annotated Lesson Plans — Elizabeth Arnold, Montana State University

332 * !	Tue, 8/2/2016, 10:30 AM - 12:20 PM	CC-W184bc
Doing More with Data in and Outside the Undergraduate Classroom — Invited Papers
Section on Statistical Education , Statistics in Business Schools Interest Group
Organizer(s): Mine Cetinkaya-Rundel, Duke University
Chair(s): Mine Cetinkaya-Rundel, Duke University
10:35 AM	Computational Thinking and Statistical Thinking: Foundations of Data Science — Ani Adhikari, University of California at Berkeley ; Michael I. Jordan, University of California at Berkeley
11:00 AM	Learning Communities: An Emerging Platform for Research in Statistics — Mark Daniel Ward, Purdue University
11:25 AM	The ASA DataFest: Learning by Doing — Robert Gould, University of California at Los Angeles
11:50 AM	Statistical Computing as an Introduction to Data Science — Colin Rundel, Duke University
12:15 PM	Floor Discussion

338 * !	Tue, 8/2/2016, 10:30 AM - 12:20 PM	CC-W190a
Harnessing the Extraordinary Power of Statistics in Sports — Invited Panel
Section on Statistics in Sports , Section on Statistical Education
Organizer(s): Michael J. Lopez, Skidmore College
Chair(s): Michael Schuckers, St. Lawrence University
10:35 AM	Harnessing the Extraordinary Power of Statistics in Sports
Panelists:	Ben Baumer, Smith College Dennis Lock, Miami Dolphins Brian Macdonald, Florida Panthers
12:15 PM	Floor Discussion

390	Tue, 8/2/2016, 12:30 PM - 1:50 PM	CC-W375a
Section on Statistical Education P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistical Education
Organizer(s): Dalene K. Stangl, Duke University
TL18:	Making a Powerful First-Day Impression — André Michelle Lubecke, Lander University
TL21:	Practical Considerations for Teaching Statistics in a Hybrid, Flipped, or Online Format — Jane Monaco, The University of North Carolina Gillings School of Global Public Health ; Todd Schwartz, The University of North Carolina at Chapel Hill

402 * !	Tue, 8/2/2016, 2:00 PM - 3:50 PM	CC-W176a
Journal Clubs as a Teaching Venue for Health Sciences Students — Invited Papers
Section on Teaching of Statistics in the Health Sciences , Section on Statistical Education
Organizer(s): Judy-Anne W. Chapman, National Cancer Institute (Retired)
Chair(s): Amy Nowacki, Cleveland Clinic
2:05 PM	Formal Programs Teaching Critical Appraisal in Evidence-Based Medicine — Stephen David Simon, University of Missouri - Kansas City
2:20 PM	Transdisciplinary Fellowship Level Journal Club — Judy-Anne W. Chapman, National Cancer Institute (Retired)
2:35 PM	Using a Journal Club to Review and Reinforce Concepts for Medical Researchers — Brian Healy, Massachusetts General Hospital ; Amy Shui, Massachusetts General Hospital
2:50 PM	Journalism in a Journal Club: The Art of Writing About Science — Nancy Pfenning, University of Pittsburgh
3:05 PM	The Professional Melting Pot: Statisticians, Data Scientists, and Health Researchers Talk Shop to Improve Public Well-Being — Nicholas Beyler, Mathematica Policy Research ; Fei Xing, Mathematica Policy Research
3:20 PM	Discussant: Peter B. Imrey, Cleveland Clinic
3:35 PM	Floor Discussion

414	Tue, 8/2/2016, 2:00 PM - 3:50 PM	CC-W176b
Assessing Effectiveness of Teaching Statistics with Simulation-Based Inference — Topic Contributed Papers
Section on Statistical Education , Statistics in Business Schools Interest Group
Organizer(s): Allan Rossman, Cal Poly
Chair(s): Allan Rossman, Cal Poly
2:05 PM	Traditional vs. Simulation-Based: Curricula Comparison in a Small-Scale Educational Experiment — Karsten Maurer, Miami University ; Dennis Lock, Miami Dolphins
2:25 PM	Student Gains in Conceptual Understanding in Introductory Statistics with and Without a Curriculum Focused on Simulation-Based Inference — Beth Chance, Cal Poly
2:45 PM	Assessing the Association Between Quantitative Maturity and Student Performance in Simulation-Based and Traditional Introductory Statistics — Nathan Tintle, Dordt College
3:05 PM	Evaluating the Statistical Thinking of Students Enrolled in a Randomization-Based Curriculum — Bob delMas, University of Minnesota
	Discussant: Webster West, North Carolina State University
3:45 PM	Floor Discussion

457	Wed, 8/3/2016, 7:00 AM - 8:15 AM	CC-W375a
Section on Statistical Education A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Statistical Education
Organizer(s): Dalene K. Stangl, Duke University
WL02:	Teaching Bayesian Statistics to Undergraduates — Jeffrey Witmer, Oberlin College

488 *	Wed, 8/3/2016, 8:30 AM - 10:20 AM	CC-W192c
The Challenge of Keeping Introductory Biostatistics Interesting and Fun — Topic Contributed Panel
Section on Teaching of Statistics in the Health Sciences , Section on Statistical Education
Organizer(s): Harry Norton, Carolinas Medical Center
Chair(s): Robert A. Oster, University of Alabama at Birmingham
8:35 AM	The Challenge of Keeping Introductory Biostatistics Interesting and Fun
Panelists:	Harry Norton, Carolinas Medical Center George W. Divine, Henry Ford Hospital Sam Michalowski, College of Staten Island
8:55 AM	Floor Discussion

489 * !	Wed, 8/3/2016, 8:30 AM - 10:20 AM	CC-W192b
Evaluating Some Popular Introductory Applied Statistics Textbooks: What We Like About Them and What We Would Like Them to Do Differently — Topic Contributed Panel
Section on Statistical Education , Statistics in Business Schools Interest Group
Organizer(s): John D. McKenzie, Jr., Babson College
Chair(s): John D. McKenzie, Jr., Babson College
8:35 AM	Evaluating Some Popular Introductory Applied Statistics Textbooks: What We Like About Them and What We Would Like Them to Do Differently
Panelists:	Katherine T. Halvorsen, Smith College Dexter C. Whittinghill, III, Rowan University Philip Yates, Saint Michael's College André Michelle Lubecke, Lander University
10:15 AM	Floor Discussion

522 !	Wed, 8/3/2016, 10:30 AM - 12:20 PM	CC-W190a
Data Science Education — Invited Panel
Section on Statistical Education , Statistics in Business Schools Interest Group
Organizer(s): Michelle Schwalbe, National Academies
Chair(s): Montse Fuentes, North Carolina State University
10:35 AM	Data Science Education
Panelists:	Constantine Gatsonis, Brown University Alfred Hero, University of Michigan John Lafferty, The University of Chicago Raghu Ramakrishnan, Microsoft
12:15 PM	Floor Discussion

558	Wed, 8/3/2016, 10:30 AM - 12:20 PM	CC-Hall F1 West
Contributed Poster Presentations: Section on Statistical Education — Contributed Poster Presentations
Section on Statistical Education
Chair(s): Genevera Allen, Rice University
53:	A Classroom Data Analysis Project Comparing 1960s Local Radio Chart Data to the National Billboard Charts — John Gabrosek, Grand Valley State University ; Len O'Kelly, Grand Valley State University
54:	Missing Data and Complex Sample Surveys: The Impact of Listwise Deletion vs. Multiple Imputation on Point and Interval Estimates When Data Are MCAR and MAR — DeAnn Trevathan, University of South Florida ; Anh Kellermann, University of South Florida ; Jeffrey Kromrey, University of South Florida
55:	Data Visualization of Science Test Score Distribution Across Districts — Leila Jamoosian ; Kathryn Hayes , California State University at East Bay ; Eric Suess, California State University at East Bay
56:	Innovative Content Development for the Online Applied Statistics Graduate Programs at Penn State — Mosuk Chow, Penn State University ; Glenn Johnson, Penn State University ; James Rosenberger, Penn State University
57:	Early Detection of Placement for Success in an Online Quantitative Class — Ping-Hung Hsieh, Oregon State University ; Xiaohui Chang, Oregon State University ; Andrew Olstad, Oregon State University
58:	Development and Pilot Test of a Mobile Application for Field Data Collection — Laurel Chiappetta, Data Development Integration Verification Analysis ; Mary Margaret Kerr, University of Pittsburgh School of Education
59:	Improving Retention in an Online Introductory Statistics Course — Whitney Zimmerman, Penn State University ; Glenn Johnson, Penn State University
60:	How to Lie (to Congress) with Statistics — Kirk Anderson, Grand Valley State University ; Mary Richardson, Grand Valley State University
61:	Lexical Ambiguity in Statistics: The Development of High-Impact, Little-Time Activities to Help Students Better Understand the Meaning of Parameter — Neal Rogness, Grand Valley State University ; Jennifer Kaplan, University of Georgia ; Diane Fisher, University of Louisiana at Lafayette
62:	Methods for Identifying Outliers for Carry-Forward Imputation in the Survey of Graduate Students and Postdoctorates in Science and Engineering — Jiantong Wang, Research Triangle Institute International ; Kimberly Ault, Research Triangle Institute International ; Rachel Harter, RTI International
63:	Perception and Deception: What Students Assume About an Introductory Business Statistics Course — Deborah Gougeon, University of Scranton
64:	Knowledge and Understanding of Biostatistics Among Sports and Exercise Medicine Professionals — Abdulaziz Farooq, Aspetar-Orthopaedic and Sports Medicine Hospital
65:	Simulation/Randomization: How Much Is Really Necessary? — Tisha Hooks, Winona State University ; Christopher J. Malone, Winona State University
66:	STAT-MAPS: A Matrix-Based Electronic Learning Tool for Beginning Statistics Students — Concetta DePaolo, Indiana State University
67:	The Lights of Mathile 212 — Laurence Robinson, Ohio Northern University
68:	RepASA: A Virtual Repository to Improve Statistics Teaching in High Schools in Puerto Rico — Pedro Torres-Saavedra, University of Puerto Rico at Mayaguez ; Roberto Rivera, University of Puerto Rico at Mayaguez
69:	The Vocabulary Knowledge of Introductory Statistics Students and Its Relationship to Conceptual Understanding — Amy Froelich, Iowa State University
70:	Tell Me About the ROSA Symposium 2016 — Marjorie Bond, Monmouth College

569	Wed, 8/3/2016, 12:30 PM - 1:50 PM	CC-W375a
Section on Statistical Education P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistical Education
Organizer(s): Dalene K. Stangl, Duke University
WL16:	Modern Teaching Methods for Graduate Statistics Courses — Jana Anderson, Colorado State University
WL17:	Training Statisticians to Be Effective Instructors — Jennifer Kaplan, University of Georgia
WL19:	Creating a Course on Statistical Learning — Sam Behseta, California State University at Fullerton

605	Wed, 8/3/2016, 2:00 PM - 3:50 PM	CC-W194a
How Are We Doing? Education Analytics — Contributed Papers
Section on Statistical Education , Statistics in Business Schools Interest Group
Chair(s): Michael Regier, West Virginia University
2:05 PM	Propensity Score Matching Using Random Forest in Educational Data Mining Problems — Richard Levine, San Diego State University
2:20 PM	Relationship Between Student-Reported and Teacher-Rating of Student Behavioral Measures — Edwin Ndum, ACT, Inc.
2:35 PM	An Application of TOPSIS Method to Rank the Instructors Based on Students' Performances — Mamunur Rashid, DePauw University
2:50 PM	The Influences of a Student's Race and Sex on Confidence and Performance in Introductory Statistics — Cindy Van Es, Cornell University ; Michelle Weaver, Cornell University
3:05 PM	Determining the Nesting Structure for Hierarchical Models Fitted to Education Data — Ulrike Genschel, Iowa State University ; Jillian Downey, Iowa State University ; Mark Kaiser, Iowa State University
3:20 PM	Evaluation Transition: Comparing RealVAMS and Current Value-Added Models — Jennifer Broatch, Arizona State University ; Jennifer Green, Montana State University
3:35 PM	Test the Effectiveness of an Add-On Treatment with Crossover Blocking Factors — Jiangtao Gou, Hunter College

213590	Wed, 8/3/2016, 6:00 PM - 7:30 PM	H-Williford A
Section on Statistical Education Business Meeting — Other Cmte/Business
Section on Statistical Education
Chair(s): Nicholas Jon Horton, Amherst College

652	Thu, 8/4/2016, 8:30 AM - 10:20 AM	CC-W192b
Big Data and Data Science Education — Contributed Papers
Section on Statistical Education , Section on Statistics in Marketing , Statistics in Business Schools Interest Group
Chair(s): Gayla R. Olbricht, Missouri University of Science and Technology
8:35 AM	Teaching Students to Work with Big Data Through Visualizations — Shonda Kuiper, Grinnell College
8:50 AM	A Data Visualization Course for Undergraduate Data Science Students — Silas Bergen, Winona State University
9:05 AM	Intro Stats for Future Data Scientists — Brianna Heggeseth, Williams College ; Richard De Veaux, Williams College
9:20 AM	An Undergraduate Data Science Program — James Albert, Bowling Green State University ; Maria Rizzo, Bowling Green State University
9:35 AM	Modernizing an Undergraduate Multivariate Statistics Class — David Hitchcock, University of South Carolina ; Xiaoyan Lin, University of South Carolina ; Brian Habing, University of South Carolina
9:50 AM	Business Analytics and Implications for Applied Statistics Education — Samuel Woolford, Bentley University
10:05 AM	DataSurfing on the World Wide Web: Part 2 — Robin Lock, St. Lawrence University

678 * !	Thu, 8/4/2016, 10:30 AM - 12:20 PM	CC-W192c
Strategies for Developing Undergraduate Data Science Programs — Invited Papers
Section on Statistical Education , Statistics in Business Schools Interest Group
Organizer(s): Christopher J. Malone, Winona State University
Chair(s): Christopher J. Malone, Winona State University
10:35 AM	Teaching Data Science Skills in an Introductory CS Course — Olaf Hall-Holt, St. Olaf College
10:55 AM	Cross-Disciplinary Minor in Data Science: A New Paradigm for Partnership Across Disciplines — Andrew Schaffner, Cal Poly ; Alexander Dekhtyar, Cal Poly
11:15 AM	From the Sun Setting of a Statistics Major to the Implementation of a Business Analytics Major — Scott Toney, University of Denver
11:35 AM	Developing a Comprehensive Data Science Program — Mark John Lancaster, Northern Kentucky University
11:55 AM	Discussant: Christopher Saunders, MITRE/South Dakota State University
12:15 PM	Floor Discussion

694	Thu, 8/4/2016, 10:30 AM - 12:20 PM	CC-W192a
Useful Classroom Activities — Contributed Papers
Section on Statistical Education , Statistics in Business Schools Interest Group
Chair(s): Jennifer Broatch, Arizona State University
10:35 AM	A Classroom Activity Using a Virtual Memory Tray: Does Walking Through a Doorway Lead to Memory Loss? — Richard Einsporn, University of Akron
10:50 AM	A Randomization-Based Activity to Introduce ANOVA While Reinforcing Knowledge of Sampling Distributions — Kirsten Doehler, Elon University ; Laura Taylor, Elon University
11:05 AM	Web Application Teaching Tools for Statistics Using R and Shiny — Jimmy Doi, Cal Poly ; Gail Potter, The EMMES Corporation/Cal Poly ; Jimmy Wong, FDA/CDER ; Irvin Alcaraz, Cal Poly ; Peter Chi, Cal Poly
11:20 AM	Some Teaching Strategies with Promising Positive Outcomes — Chand Chauhan, Indiana University Purdue University Fort Wayne ; Yvonne Zubovic, Indiana University
11:35 AM	The Best of Two Worlds: Collaborative Assessment and Two-Stage Testing — Anne Michele Millar, Mount Saint Vincent University
11:50 AM	A Useful Stemplot Example — Robert Kushler
12:05 PM	Bernoulli's Ars Conjectandi and Its Pedagogical Implications — Ilhan Izmirli, George Mason University

JSM 2016 Online Program

Activity Details

ASA Meetings Department

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