1951
DOI: 10.1111/j.2517-6161.1951.tb00088.x
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The Interpretation of Interaction in Contingency Tables

Abstract: SUMMARY The definition of second order interaction in a (2 × 2 × 2) table given by Bartlett is accepted, but it is shown by an example that the vanishing of this second order interaction does not necessarily justify the mechanical procedure of forming the three component 2 × 2 tables and testing each of these for significance by standard methods.*

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Cited by 1,560 publications
(962 citation statements)
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“…This case is supposed to be exactly analogous to a model for the evolution of altruism, and also to Simpson's paradox (Simpson 1951). 23 The 'paradox' can be resolved by taking population structure into account in order to acknowledge the effects of higher level selection.…”
Section: The Ramet Hornmentioning
confidence: 99%
“…This case is supposed to be exactly analogous to a model for the evolution of altruism, and also to Simpson's paradox (Simpson 1951). 23 The 'paradox' can be resolved by taking population structure into account in order to acknowledge the effects of higher level selection.…”
Section: The Ramet Hornmentioning
confidence: 99%
“…In a condensed table, some extraneous association between the remaining variables may be introduced or an original relationship between certain variables may be lost and/or the monotonicity of certain dependence between variables may also be reversed. This paradox, due to Simpson (1951), known as Simpson's paradox. See, also, Lindley and Novick (1981) and Shapiro (1982) and Cox and Wermuth (2003) for more examples.…”
Section: Introductionmentioning
confidence: 96%
“…Thus, investigators aggregate individuals by stratifying, by assuming a specific covariate relationship, or by using hierarchical modeling with random individual effects (Manton et al 1981;Cohen 1986;Cam et al 2002;Cooch et al 2002;Link et al 2002;Nichols 2002). The danger in these approaches based on aggregation is that we never know which variables are most closely associated with fitness variation, and if we make a mistake and select an irrelevant variable as the basis for aggregation, we can be easily misled (Simpson 1951;Cohen 1986). Nevertheless, careful selection of variables likely to be associated with fitness variation for use in subsequent analyses based on aggregations of individuals is the best approach available to us for observational studies of variation (Nichols 2002).…”
Section: Introductionmentioning
confidence: 97%