TABLE 3

Regression Analysis Summary of Variables Predicting Growth Chart Comprehension

VariableB, Estimate ± SEβsr2f2
Black−0.899 ± 0.17−0.168a0.026.03
Other−0.293 ± 0.18−0.050.003
Income of less than $25 000−0.553 ± 0.21−0.120b0.006.007
Income of $26 000–34 000−0.218 ± 0.229−0.0390.001
Income of $35 000–49 000−0.257 ± 0.209−0.0520.005
Income of $50 000–74 000−0.129 ± 0.194−0.0290.001
Income of $75 000–99 0000.125 ± 0.2080.0240.001
Education of high school or below−1.021 ± 0.178−0.248a0.042.048
Education of 1–3 y after high school−0.442 ± 0.135−0.121a0.01.013
Male−0.273 ± 0.179−0.126a0.015.017
  • Constant = 5.185 ± 0.16; R2 = 0.231 (N = 380, P = .001); sr2 is the semipartial coefficient squared; f2 is presented only for statistically significant predictors and represents Cohen's effect size statistic for multivariate regression analyses.

  • a P = .001.

  • b P = .01.