Carnegie Mellon University

Education & Educational Data Analysis

Statistical methods are now a primary tools for the collection and analysis of data to inform the education, policy, and social sciences. From questionnaire development to the selection of probability samples to the design of social experiments, statisticians at Carnegie Mellon collaborate in the collection of social science data. Faculty and students regularly work with others to develop new methods for analyzing these data and they apply up-to-date methods for drawing inferences from diverse social science data sources ranging from large scale sample surveys to social networks, to educational experiments. A number of statistics graduate students work directly in joint programs bringing statistics to bear on problems in education and public policy.

Department Members with this Research Interest

7 bios displayed.

Zach Branson

Zach Branson

Assistant Teaching Professor

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Nynke  Niezink

Nynke Niezink

Assistant Professor

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Josue  Orellana

Josue Orellana

Postdoctoral Researcher

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Alex Reinhart

Alex Reinhart

Assistant Teaching Professor

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Gordon  Weinberg

Gordon Weinberg

Lecturer - Special Faculty

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