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Anatomy of Correlational Magnitude Transformations in Latency and Discretization Contexts in Monte-Carlo Studies
Date
2017-02-01
Author
Demirtaş, Hakan
Vardar Acar, Ceren
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URI
http://www.springer.com/gp/book/9789811033063#aboutAuthors
https://hdl.handle.net/11511/87621
Relation
Monte-Carlo Simulation-Based Statistical Modeling
Collections
Department of Statistics, Book / Book chapter
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This chapter is concerned with the assessment of correlational magnitude changes when a subset of the continuous variables that may marginally or jointly follow nearly any distribution in a multivariate setting is dichotomized or ordinalized. Statisticians generally regard discretization as a bad idea on the grounds of power, information, and effect size loss. Despite this undeniable disadvantage and legitimate criticism, its widespread use in social, behavioral, and medical sciences stems from the fact tha...
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H. Demirtaş and C. Vardar Acar,
Anatomy of Correlational Magnitude Transformations in Latency and Discretization Contexts in Monte-Carlo Studies
. 2017, p. 85.