A Modification of the Newman-Keuls Procedure for Multiple Comparisons (Classic Reprint) - Tapa dura

Sinopsis

Excerpt from A Modification of the Newman-Keuls Procedure for Multiple Comparisons

Generally we want to know if the data indicates that one population under consideration is better or worse than another. We must, therefore, compute some numbers to use as measures of significance (critical values). And this means making decisions about errors and error rates. Kurtz Miller and o'neill (1971) discuss the question of error rates extensively.

For those interested in exploring data, a particular definition of error and error rate provides a way to compute a set of critical values and perhaps make some power calculations. It is certainly conceivable that a data analyst might use more than one set of criti - cal values in analyzing a particular batch of data, weighing the results in light of the definition of error and error rate used to determine each set of critical values. Feder (1972) presents some new ways to make this easier in practice.

The author has generally not used the N - K test because the problem mentioned in the introduction makesix: difficult to interpret the results in the light of any reasonable definition of error and error rate, especially when dealing with a fairly large number of means.

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