Measuring association via lack of co-monotonicity: the LOC index and a problem of educational assessment
Danang Teguh Qoyyimi ; Ricardas Zitikis
Dependence Modeling, Tome 3 (2015), / Harvested from The Polish Digital Mathematics Library

Measuring association, or the lack of it, between variables plays an important role in a variety of research areas, including education,which is of our primary interest in this paper. Given, for example, student marks on several study subjects, we may for a number of reasons be interested in measuring the lack of comonotonicity (LOC) between the marks, which rarely follow monotone, let alone linear, patterns. For this purpose, in this paperwe explore a novel approach based on a LOCindex,which is related to, yet substantially different from, Eckhard Liebscher’s recently suggested coefficient of monotonically increasing dependence. To illustrate the new technique,we analyze a data-set of student marks on mathematics, reading and spelling.

Publié le : 2015-01-01
EUDML-ID : urn:eudml:doc:270850
@article{bwmeta1.element.doi-10_1515_demo-2015-0006,
     author = {Danang Teguh Qoyyimi and Ricardas Zitikis},
     title = {Measuring association via lack of co-monotonicity: the LOC index and a problem of educational assessment},
     journal = {Dependence Modeling},
     volume = {3},
     year = {2015},
     zbl = {1328.62370},
     language = {en},
     url = {http://dml.mathdoc.fr/item/bwmeta1.element.doi-10_1515_demo-2015-0006}
}
Danang Teguh Qoyyimi; Ricardas Zitikis. Measuring association via lack of co-monotonicity: the LOC index and a problem of educational assessment. Dependence Modeling, Tome 3 (2015) . http://gdmltest.u-ga.fr/item/bwmeta1.element.doi-10_1515_demo-2015-0006/

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