Assessing the Association Between Precourse Metrics of Student Preparation and Student Performance in Introductory Statistics: Results from Early Data on Simulation-Based Inference vs. Nonsimulation-Based Inference

Assessing the Association Between Precourse Metrics of Student Preparation and Student Performance in Introductory Statistics: Results from Early Data on Simulation-Based Inference vs. Nonsimulation-Based Inference

The recent simulation-based inference (SBI) movement in algebra-based introductory statistics courses (Stat 101) has provided preliminary evidence of improved student conceptual understanding and retention. However, little is known about whether these positive effects are preferentially distributed...

Full description

Bibliographic Details
Main Authors: Nathan Tintle, Jake Clark, Karen Fischer, Beth Chance, George Cobb, Soma Roy, Todd Swanson, Jill VanderStoep
Format: Article
Language:English
Published: Taylor & Francis Group 2018-05-01
Series:Journal of Statistics Education
Subjects:
Bootstrapping
CAOS
Conceptual understanding
Permutation test
Randomization
Online Access:http://dx.doi.org/10.1080/10691898.2018.1473061

Internet

http://dx.doi.org/10.1080/10691898.2018.1473061

Similar Items