Improving Mathematics and Science Education
By Vi-Nhuan Le, B. Stecher, J. R. Lockwood, L. Hamilton, A. Robyn, Valerie L. Williams, G. Ryan, Kerri A. Kerr, J. Martínez, S. Klein. 2006
48 citations recorded by the source corpus.
Subfields: Education, Information Systems and Management, Modeling and Simulation
View Paper: https://www.semanticscholar.org/paper/8bfeb254e539c04c8473aa27645695b56b2aaabf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
- Daniel F McCaffrey
- J. R. Lockwood
- C. Koedel
- J. Supovitz
- Jonah E. Rockoff
- Xiaoxia Newton
- Kata Mihaly
- S. Corcoran
In Information Systems and Management
Citations in the corpus
- Controlling for Individual Heterogeneity in Longitudinal Models, with Applications to Student Achievement (2007, methodology): “The divide between fixed and random effects approaches is particularly strong in education research, with numerous examples of economists using fixed effects (14; 15; 20; 25; 38; 39; 49; 52), and educational statisticians using random effects or mixed model approaches by way of hierarchical linear m”
- A Model for Teacher Effects From Longitudinal Data Without Assuming Vertical Scaling (2010, unknown): “credentialing and training, and evaluating other educational interventions (Bifulco & Ladd, 2004; Gill, Zimmer, Christman, & Blanc, 2007; Goldhaber & Anthony, 2004; Harris & Sass, 2006; Le et al., 2006; Schacter & Thum, 2004; Zimmer et al., 2003).”