Abstract Details
Activity Number:
|
651
|
Type:
|
Contributed
|
Date/Time:
|
Thursday, August 7, 2014 : 10:30 AM to 12:20 PM
|
Sponsor:
|
Section on Statistical Education
|
Abstract #313621
|
View Presentation
|
Title:
|
One Crank or Two?
|
Author(s):
|
Kari Lock Morgan*+
|
Companies:
|
Duke University
|
Keywords:
|
randomization test ;
resampling ;
simulation ;
introductory statistics
|
Abstract:
|
Students should learn to distinguish between random sampling from the population and random assignment to treatment groups in an introductory class. When teaching inference with randomization tests, should we teach different types of randomization, depending on the source of "randomness" in data collection? Do we want our students to analyze data from observational studies differently than data from randomized experiments? This has come to be known as the question of "one crank or two," a phrase used by John Holcomb at ICOTS8 in Slovenia. The "one-crankers" like the simplicity of being able to use the same procedure in all circumstances and believe that introducing two cranks creates unnecessary confusion for students. The "two-crankers" may teach one approach (reallocating) for data from randomized experiments and another approach (resampling) for data from observational studies. In this talk we present both sides of the debate, and give results from simulations comparing analysis via one crank or two.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.