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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
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Carlhed, Carina – European Educational Research Journal, 2017
The article is a critical sociological analysis of current transnational practices on creating comparable measurements of dropout and completion in higher education and the consequences for the conditions of scientific knowledge production on the topic. The analysis revolves around questions of epistemological, methodological and symbolic types…
Descriptors: Dropouts, Graduation Rate, Foreign Countries, Higher Education