Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 2 |
Descriptor
Author
| Chance, Beth | 1 |
| Clark, Jake | 1 |
| Cobb, George | 1 |
| Fischer, Karen | 1 |
| Karabatsos, George | 1 |
| Roy, Soma | 1 |
| Swanson, Todd | 1 |
| Tintle, Nathan | 1 |
| VanderStoep, Jill | 1 |
| Walker, Stephen G. | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 2 |
| High Schools | 1 |
| Postsecondary Education | 1 |
| Secondary Education | 1 |
Audience
Location
| Illinois | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| ACT Assessment | 2 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkTintle, Nathan; Clark, Jake; Fischer, Karen; Chance, Beth; Cobb, George; Roy, Soma; Swanson, Todd; VanderStoep, Jill – Journal of Statistics Education, 2018
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 across types of students entering the course. We…
Descriptors: Statistics, College Mathematics, College Preparation, Mathematical Concepts
Download full textKarabatsos, George; Walker, Stephen G. – Society for Research on Educational Effectiveness, 2011
Karabatsos and Walker (2011) introduced a new Bayesian nonparametric (BNP) regression model. Through analyses of real and simulated data, they showed that the BNP regression model outperforms other parametric and nonparametric regression models of common use, in terms of predictive accuracy of the outcome (dependent) variable. The other,…
Descriptors: Bayesian Statistics, Regression (Statistics), Nonparametric Statistics, Statistical Inference
