Performance of Parametric Vs. Data Mining Methods for Estimating Propensity Scores with Multilevel Data: a Monte Carlo Study.
- 주제(키워드) Educational tests & measurements , Statistics , Educational technology , Information science , Data mining , Monte Carlo simulations , Multilevel data , Propensity score analysis , Mathematics education , Student performance
- 발행기관 University of Delaware
- 발행년도 2020
- 학위명 박사
- 학과 및 전공 School of Education
- ISBN 9798684669354
- UCI I804:11009-000000246609
- DOI 10.23186/korea.000000246609.11009.0001183
- 제출원본 PQDT28091764
