1981
DOI: 10.1177/004912418101000105
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Goodman and Kruskal's Tau b: Multiple and Partial Analogs

Abstract: Using the logic developed by Goodman and Kruskal, multiple and partial analogs for their measure Tau are suggested. These measures may be of particular utility to survey researchers in situations where the Goodman and Kruskal lambda measures are either inappropriate or inapplicable. This measure has been shown to have a clear proportional reduction in error interpretation. These analogs should be useful and necessary for detailed causal and/or multiple analysis with nominal-level data.

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Cited by 26 publications
(18 citation statements)
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“…It also allows an evaluation of the contiibution of age to this prediction when the contribution of size is known and vice versa for size and age. The second analysis is based on the Goodman-Kruskal T a u coefficient, a measure of association (Goodman & Kruskal 1954) and partial association developed by Gray & Williams (1975). This evaluates quantitatively the relative contribution of either age or size to predicting the reproductive event when the other state variable is taken into account.…”
Section: Methodsmentioning
confidence: 99%
“…It also allows an evaluation of the contiibution of age to this prediction when the contribution of size is known and vice versa for size and age. The second analysis is based on the Goodman-Kruskal T a u coefficient, a measure of association (Goodman & Kruskal 1954) and partial association developed by Gray & Williams (1975). This evaluates quantitatively the relative contribution of either age or size to predicting the reproductive event when the other state variable is taken into account.…”
Section: Methodsmentioning
confidence: 99%
“…(τ A is sometimes called multiple τ (Gray and Williams (1981) because it represents the total predictability of two or more predictor variables.) The CATANOVA test may be used to test the significance of the τ index.…”
Section: The Proposed Methodsmentioning
confidence: 99%
“…(τ B is simply the basic τ index for the marginal table (Table 2), while τ E is sometimes called partial τ (Gray and Williams 1981).) The CATANOVA test statistic can also be analogously decomposed into two parts.…”
Section: The Proposed Methodsmentioning
confidence: 99%
“…One may also consider either of the Gray-Williams measures. Refer to Equations (3.2) or (4.2), and their discussion, of Gray and Williams [14] for description of these measures.…”
Section: A Measure Of Deviation From Complete Independencementioning
confidence: 99%
“…When contingency tables consist of three or more variables, multi-variate extensions of the Goodman-Kruskal tau can be considered. In particular, one may consider using the Gray-Williams [14] index, the Marcotorchino [16][17][18] index or the Simonetti [21] delta index.…”
Section: Introductionmentioning
confidence: 99%