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Kylie L. Anglin
Addressing Threats to Validity in Supervised Machine Learning: A Framework and Best Practices for Education Researchers
Topics: MethodsGiven the rapid adoption of machine learning methods by education researchers, and growing acknowledgement of their inherent risks, there is an urgent need for tailored methodological guidance on how to improve and evaluate the validity of inferences drawn from these methods. Drawing upon an… more →
The Role of State Education Regulation: Evidence from the Texas Districts of Innovation Statute
Topics: Policy, Politics, and GovernanceTags: School reformTraditional public schools in the United States must comply with a variety of regulations on educational inputs like teacher certification, maximum class sizes, and restrictions on staff contracts. Absent regulations, policymakers fear that troubled districts would make inappropriate decisions… more →
Design-Based Approaches to Causal Replication Studies
Topics: MethodsTags:Recent interest to promote and support replication efforts assume that there is well-established methodological guidance for designing and implementing these studies. However, no such consensus exists in the methodology literature. This article addresses these challenges by describing design-… more →
Using Semantic Similarity to Assess Adherence and Replicability of Intervention Delivery
Topics: MethodsTags: Instructional coaching, EfficacyResearchers are rarely satisfied to learn only whether an intervention works, they also want to understand why and under what circumstances interventions produce their intended effects. These questions have led to increasing calls for implementation research to be… more →