Statistically significant differences. Large sample sizes may inflate measures of statistical significance and may lead to false conclusions about the strength of association. The chi-square measure of association, in particular, is susceptible to this possibility. Therefore, the standards for designating whether a relationship can be termed statistically significant have been increased: the Xxxxxxx’x xxx-square must have probability of a type 1 error of less than .001 and either the Phi coefficient or Xxxxxx’x V must have a value of .150 or greater. Throughout this document, any differences reported meet these criteria, unless otherwise stated.
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Samples: Agreement for Data Use, Agreement for Data Use, Agreement for Data Use