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2. Online Supplement 1 Appendix for Bowers, Zhao, and Ho (2023) Towards Hierarchical Cluster Analysis Heatmaps: R Shiny application code
3. Online Supplement 2 Appendix for Bowers, Zhao, and Ho (2023) Towards Hierarchical Cluster Analysis Heatmaps: R Tutorial and code
4. The Silent Leaders of Schools: An Exploratory Case Study of High School Department Chairs in Modern Orthodox Yeshivas
5. Unpacking the Caveats of ChatGPT in Education: Addressing Bias, Representation, Authorship, and Plagiarism
6. AI Image Generation with Stable Diffusion
7. Online Supplement to Mapping 16 Equity Indicators to the New York City Schools Public Datasets: Access, Opportunity, and Outcomes
8. Bowers and Monroe 2021 Online Supplement S1 for Using Hierarchical Linear Growth Modeling to Identify Longitudinally Outperforming School Districts in the United States, 2009–2013.
9. Data Visualization, Dashboards, and Evidence Use in Schools: Data Collaborative Workshop Perspectives of Educators, Researchers, and Data Scientists
10. Supporting the Initial Work of Evidence-Based Improvement Cycles Through a Data-Intensive Partnership
11. A longitudinal developmentally intentional leadership institute for teacher leaders: A case study of the experiences of 13 teacher leaders
12. A Typology of Parental Involvement in Student Experience: A Latent Class Analysis
13. The Practice of Learning-Oriented Teacher Leadership: A Qualitative 360-Degree Interview Study of Teacher Leaders and Their Colleagues
14. Disrupting the Digital Norm in the New Digital Divide: Toward a Conceptual and Empirical Framework of Technology Leadership for Social Justice Through Multilevel Latent Class Analysis
15. Education Leadership Data Analytics (ELDA): A White Paper Report on the 2018 ELDA Summit
16. Examining the Career Pathways of Educators with Superintendent Certification
17. Identifying a Typology of High Schools Based on Their Orientation Toward STEM: A Latent Class Analysis of HSLS:09
18. Leading While Black and Male: A Phenomenology of Black Male School Leadership
19. Receiver Operating Characteristic (ROC) Area Under the Curve (AUC): A Diagnostic Measure for Evaluating the Accuracy of Predictors of Education Outcomes
20. Report Card Grades and Educational Outcomes
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