NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 3 results Save | Export
Bayesian Historical Borrowing with Longitudinal Large-Scale Assessments
Peer reviewed Peer reviewed
Direct linkDirect link
Kaplan, David; Chen, Jianshen; Lyu, Weicong; Yavuz, Sinan – Large-scale Assessments in Education, 2023
The purpose of this paper is to extend and evaluate methods of "Bayesian historical borrowing" applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowing allows researchers to utilize information from previous data sources and to adjust the extent of borrowing based on the…
Descriptors: Bayesian Statistics, Longitudinal Studies, Children, Surveys
Bayesian Historical Borrowing with Longitudinal Large-Scale Assessments
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Direct linkDirect link
David Kaplan; Jianshen Chen; Weicong Lyu; Sinan Yavuz – Grantee Submission, 2023
The purpose of this paper is to extend and evaluate methods of "Bayesian historical borrowing" applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowing allows researchers to utilize information from previous data sources and to adjust the extent of borrowing based on the…
Descriptors: Bayesian Statistics, Longitudinal Studies, Children, Surveys
Cultivating Early STEM Learners: An Analysis of Mastery Classroom Instructional Practices, Motivation, and Mathematics Achievement in Young Children
Direct linkDirect link
Ricks, Elizabeth Danielle – ProQuest LLC, 2012
According to the 2006 Program for International Assessment (PISA), the United States is behind their international counterparts in the areas of mathematics and science. (Darling-Hammond, 2010). The Unites States is at a critical point in developing future leaders in Science, Technology, Engineering, and Mathematics. In preparing students for a…
Descriptors: STEM Education, Best Practices, Mathematics Achievement, Kindergarten