Research output: Contribution to journal › Article › peer-review
Size invariant measures of association : characterization and difficulties. / Negri, Margherita; Sprumont, Yves.
In: Mathematical Social Sciences, Vol. 75, 05.2015, p. 115-122.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Size invariant measures of association
T2 - characterization and difficulties
AU - Negri, Margherita
AU - Sprumont, Yves
N1 - Sprumont acknowledges support from the Fonds de Recherche sur la Soci été et la Culture of Québec.
PY - 2015/5
Y1 - 2015/5
N2 - A measure of association on cross-classification tables is row-size invariant if it is unaffected by the multiplication of all entries in a row by the same positive number. It is class-size invariant if it is unaffected by the multiplication of all entries in a class (i.e., a row or a column). We prove that every class-sizeinvariant measure of association assigns to each cross-classification table a number which depends only on the cross-product ratios of its 2×2 subtables. We submit that the degree of association should increase when mass is shifted from cells containing a proportion of observations lower than what is expected under statistical independence to cells containing a proportion higher than expected–provided that total mass in each class remains unchanged. We prove that no continuous row-size invariant measure of association satisfies this monotonicity axiom if there are at least four rows.
AB - A measure of association on cross-classification tables is row-size invariant if it is unaffected by the multiplication of all entries in a row by the same positive number. It is class-size invariant if it is unaffected by the multiplication of all entries in a class (i.e., a row or a column). We prove that every class-sizeinvariant measure of association assigns to each cross-classification table a number which depends only on the cross-product ratios of its 2×2 subtables. We submit that the degree of association should increase when mass is shifted from cells containing a proportion of observations lower than what is expected under statistical independence to cells containing a proportion higher than expected–provided that total mass in each class remains unchanged. We prove that no continuous row-size invariant measure of association satisfies this monotonicity axiom if there are at least four rows.
KW - Association
KW - Contingency tables
KW - Margin-free measures
KW - Size invariance
KW - Monotonicity
KW - Transfer principle
U2 - 10.1016/j.mathsocsci.2015.03.002
DO - 10.1016/j.mathsocsci.2015.03.002
M3 - Article
VL - 75
SP - 115
EP - 122
JO - Mathematical Social Sciences
JF - Mathematical Social Sciences
SN - 0165-4896
ER -
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Working paper › Discussion paper
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
ID: 240870621