Multilevel regression analysis is an innovative methodology that has not been widely used outside of the United States. As a result of inexperience with these models, the statistical analysis presented in Volume 1 of this journal was partially flawed; the multilevel regression analysis is corrected here by the original author. The flaw occurred in models 3 and 4, reported in Table 8; the level-1 predictors were incorrectly group-mean centered, resulting in an inflation of the estimates of the coefficients of the neighborhood-level predictors. The corrected model lowers these estimates and, as a result, only the variable “intergenerational closure” survives as a significant predictor. Moreover, the strongest variable in the original model is rendered insignificant in the corrected analysis. The more widespread use of multilevel analyses will hopefully contribute to a better understanding of both its advantages and disadvantages. Table, reference