Using Ant Colony Optimization to Identify Optimal Sample Allocations in Cluster-Randomized Trials-Reference-Cited by-同舟云学术

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Using Ant Colony Optimization to Identify Optimal Sample Allocations in Cluster-Randomized Trials

Published:2024-01-30 Issue: Volume: Page:1-19
ISSN:0022-0973
Container-title:The Journal of Experimental Education
language:en
Short-container-title:The Journal of Experimental Education

Author:

Shen Zuchao¹^ORCID,Leite Walter²,Zhang Huibin³,Quan Jia⁴,Kuang Huan⁵

Affiliation:

1. Department of Educational Psychology, University of Georgia, Athens, GA, USA

2. College of Education, University of Florida, Gainesville, FL, USA

3. Tennessee Reading Research Center, University of Tennessee Knoxville, Knoxville, TN, USA

4. Life Span Institute, University of Kansas, Lawrence, KS, USA

5. Educational Psychology & Learning Systems, Florida State University, Tallahassee, FL, USA

Funder

Spencer Foundation

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00220973.2024.2306392

Reference57 articles.

1. Bound Constrained Optimization of Sample Sizes Subject to Monetary Restrictions in Planning Multilevel Randomized Trials and Regression Discontinuity Studies

2. Cochran, W. (1963). Sampling techniques (2nd ed.) Wiley.

3. Colorni, A., Dorigo, M., & Maniezzo, V. (1992). Distributed optimization by ant colonies. In F. Varela & P. Bourgine (Eds.), Proceedings of ECAL 91 - first European conference on artificial life. Elsevier.

4. Optimal Sample Allocation in Group-Randomized Mediation Studies with a Group-Level Mediator

5. Dorigo, M., & Stützle, T. (2004). Ant colony optimization. MIT Press.

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