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The Argument for a "Data Cube" for Large-Scale Psychometric Data
2019
Frontiers in Education
In recent years, work with educational testing data has changed due to the affordances provided by technology, the availability of large data sets, and by the advances made in data mining and machine learning. Consequently, data analysis has moved from traditional psychometrics to computational psychometrics. Despite advances in the methodology and the availability of the large data sets collected at each administration, the way assessment data is collected, stored, and analyzed by testing
doi:10.3389/feduc.2019.00071
fatcat:awvj56midra2xk6tm4shhb7ovu