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Susan Athey; Raj Chetty; Guido Imbens – National Bureau of Economic Research, 2025
Researchers increasingly have access to two types of data: (i) large observational datasets where treatment (e.g., class size) is not randomized but several primary outcomes (e.g., graduation rates) and secondary outcomes (e.g., test scores) are observed and (ii) experimental data in which treatment is randomized but only secondary outcomes are…
Descriptors: Observation, Research Problems, Bias, Data Science
State Council of Higher Education for Virginia, 2024
In the 2018 legislative session, the General Assembly appropriated $28.4 million to increase production of degree awards in the areas of data science and technology, education, healthcare, and science and engineering. The funding, targeted toward 14 public four-year institutions (University of Virginia's College at Wise was excluded), included…
Descriptors: Public Colleges, STEM Education, Data Science, Health Sciences

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