Abstract
A statistic, Z, proposed by Zinger, is applied for measuring associative response diversiry. This statistic is shown to be more useful than a, a staristic previously recommended for that purpose. The values of 1/Z vary from zero to one and tend to a different asymptotic value for each stimulus, rather than converging to zero for infinite samples as they do for a. The variance V(Z) is known and diminishes with increasing sample size. This makes it possible to compare stimuli for any sample size at a given level of confidence. The performance of the Z indicator in empirical samples was examined by running computer simulations sampling from the Queen's University Association norms. The stability of Z across sample sizes was investigated. Sample sizes necessary for detecting differences between stimuli were predicted. The 100 Kent-Rosanoff stimuli were ranked according to their 1/Z values and grouped into 12 clusters.
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