Paul R. Yarnold
Optimal Data Analysis, LLC
Prior research modeled if adolescents ever had sexual intercourse (the dependent variable: yes=1, no=0) using main-effect logit and probit analysis models treating gender (female=0, male=1) and race (“white” =1; “black”=2) as the independent variables. Both models identified statistically significant effects for gender and race, and both models misclassified all observations that had sexual intercourse: ESS=0. In exploratory novometric analysis conducted for these data a statistically significant, cross-generalizable race effect emerged that yielded moderate ESS=25.25, p<0.001.
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