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