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Molecular Biology and Evolution 18:676-680 (2001)
© 2001 Society for Molecular Biology and Evolution


LETTER

Uninformative Characters and Apparent Conflict Between Molecules and Morphology

Michael S. Y. Lee2,

Department of Zoology, University of Queensland, Brisbane, Queensland, Australia

Incongruence between different data sets remains one of the central issues in systematics. Numerous tree- based and character-based tests to identify incongruence have been developed, and each has strengths and weaknesses (e.g., for reviews, see Cunningham 1997a;Citation Johnson and Soltis 1998Citation ). Currently, one of the most widely used methods for evaluating incongruence within a parsimony framework is the homogeneity test of Farris et al. (1995)Citation , usually termed the incongruence length difference (ILD) test (Cunningham 1997a;Citation but see Johnson and Soltis 1998Citation ) or the partition homogeneity Test (Swofford 2000Citation ). The test has been argued to produce more accurate results than other tests (Cunningham 1997aCitation ) and is also easy to implement using PAUP* (Swofford 2000Citation ).

The ILD test evaluates whether the level of incongruence between two or more data sets is greater than that expected by chance alone, given the level . . . [Full Text of this Article]

Acknowledgements

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