Repeated significance testing can be used as a multistage testing procedure which has advantages over single sample tests and purely sequential tests. Repeated significance tests having a constant nominal level of significance have designs which are more easily understood by researchers and still have good power relative to designs using varying nominal levels of significance. In this paper we present a method for defining an overall P value for repeated significance tests with constant significance levels which can aid researchers in interpreting the observed results of such tests. A table of P values for various designs is given.

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