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CC = Baltimore Convention Center,    H = Hilton Baltimore
* = applied session       ! = JSM meeting theme

Activity Details

424 Tue, 8/1/2017, 3:05 PM - 3:50 PM CC-Halls A&B
SPEED: Statistical Education — Contributed Poster Presentations
Section on Statistical Education , Section on Teaching of Statistics in the Health Sciences , Section on Statistical Learning and Data Science , Social Statistics Section
Chair(s): Jessi Cisewski, Yale University
The Speed portion will take place during Session 214536
1: Benefits of Using Real Data Sets to Instruct Business Students in Data Mining Techniques Kathleen Garwood, Saint Joseph's University
2: A prediction model for understanding statistical replication Andrew Neath, SIU Edwardsville
3: Triathlon Road Closure Control Zonghuan (Jason) Li, Student ; Mason Chen, Mason Chen Consulting
4: Using an Alternative Sequence for Teaching an Undergraduate Introductory Statistics Phyllis Curtiss, Grand Valley State University ; Robert Pearson, Grand Valley State University
5: Reflections and Faculty Feedback on an Alternative Sequence for Teaching an Undergraduate Introductory Statistics Course Robert Pearson, Grand Valley State University ; Phyllis Curtiss, Grand Valley State University
6: Statistics as a Basic Leadership Competency: Making the Case to Executives and Educators Matthew Jones, Walden University
7: Learning Statistics with Productive Practice and Technology Brenda Gunderson, Univ of Michigan
8: Applying Logistic Regression to Student Data to Determine Retention of Students at a Large University Reema Thakkar, RTI International ; Emily Griffith, NC State University ; Stephany Dunstan, N.C. State University
9: First (?) Occurrence of the 25 Most Influential (?) Statistical Terms Introduced in the Last 20 Years John McKenzie, Babson College
10: Developing Partnerships with an AP Statistics Practice Exam Christy Brown, Clemson University ; Ellen Breazel, Clemson University ; Elizabeth Johnson, George Mason University ; Jonathan Duggins, NC State University ; Bryan Crissinger, University of Delaware
11: Helping Under Prepared Students Succeed in Introductory Statistics Paul Plummer, University of Central Missouri
12: Using Video Presentations for Assessment in Introductory Statistics Courses Melissa Pittard, University of Kentucky
13: Longitudinal Modeling in Applied Research: Implications for Improving Practice Niloofar Ramezani, University of Northern Colorado ; Kerry Duck, University of Northern Colorado ; Austin Brown, University of Northern Colorado ; Michael Floren, University of Northern Colorado ; Krystal Hinerman, Lamar University ; Trent Lalonde, University of Northern Colorado
14: P-Value as Strength of Evidence Measured by Confidence Distribution Sifan Liu, Rutgers Univ Statistics Dept
15: Definition and Confusion About Independence Robert Molnar, Oklahoma State University
16: If Only R Would Grade My Students' Projects Robin Lock, St. Lawrence University
17: Odds Ratio Versus Risk Ratio in Prevalence Trend Analysis Scott McClintock, West Chester University ; Randall Rieger, West Chester University ; Zhen-qiang Ma, Pennsylvania Department of Health
18: Using Data Mining to Identify At-Risk Freshmen Nora Galambos, Stony Brook University
19: Assessing the Effectiveness of Mentoring Youth Laura Albrecht ; Keenan O'brien, Metropolitan State University of Denver ; Matthew Shaw, Metropolitan State University of Denver
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