I.—The Statistics of Examinations

By F. Y. Edgeworth. 1888

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Jordan L. Boyd-Graber
2. Pedro Rodriguez
3. Joe Barrow
4. Robin Jia
5. Alexander Miserlis Hoyle
6. John P. Lalor
7. U. Knoch
8. Denny Borsboom

Citations in the corpus

• Diagnostic Writing Assessment: The Development and Validation of a Rating Scale (2009, background): “Both in Europe and the United States, there was a call for an increased level of standardisation after these changes, which initiated an interest in statistics and measurement theory as well as an interest in finding ways to measure true ability (see for example Edgeworth, 1888).”
• Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? (2021, background): “, 2016) alternative in educational testing to simple summary statistics (Edgeworth, 1888).”
• Measuring the Mind: Relations between the models (2005, methodology): “This conceptualization is borrowed from the theory of errors (Edgeworth, 1888; see also Stigler, 1986, and Hacking, 1990), which has been fruitfully applied, for example, in astronomy.”
• A Century of Grading Research (2016, unknown): “Edgeworth (1888) applied the “theory of errors” (p. 600) based on normal curve theory to the case of grading examinations.”