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Sample APA formats for stats

# Sample APA formats for stats - verbal score was not...

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Sample Statistical Summaries in APA Format t-test Verbal scores (M = 8.70, SD = 2.39) were significantly higher than math scores (M = 6.43, SD = 2.21), t(686) = 24.02, p < .01. Correlation There was no significant correlation between level of education and self-rated programming ability, r(N = 195) = .14, p = .06. Multiple regression The regression equation predicted math scores significantly better thanchance, R 2 = .24, F (3, 681) = 70.52, p < .01. The intercept for the regression equation was significant, B = 3.37, t (681) = 3.37, p < .01. The verbal score was a significant predictor of the math score after controlling for gender and the interaction between gender and the verbal score, B = 0.38, t (681) = 11.46, p < .01. Gender was not a significant predictor of the math score after controlling for the verbal score and the interaction between gender and the verbal score, B = -0.17, t (681) = 0.56, p = .58. The interaction between gender and the
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Unformatted text preview: verbal score was not significant after controlling for gender and the verbal score, B = -0.05, t (681) = 1.38, p = .17. One-Way ANOVA Verbal scores did not differ significantly between students who were underweight (M = 8.69, SD = 2.45), normal (M = 8.72, SD = 2.38), and overweight (M = 8.84, SD = 2.52), F (2, 629) = 0.08, p = .93. Factorial ANOVA The mean verbal score was significantly lower in brown-eyed participants than in blue- or green-eyed participants (see Table 1), F(2, 682) = 10.39, p < .01. The mean verbal score was significantly higher for males than for females, F(1, 682) = 5.98, p = .02. The interaction between gender and eye color was not significant, F(2, 682) = 0.61, p = .54. Table 1. Verbal test scores, as a function of gender and eye color. Gender Eye color M SD Female Blue 9.15 2.13 Brown 8.04 2.31 Green 9.01 2.24 Male Blue 9.35 1.96 Brown 8.75 2.81 Green 9.62 2.36...
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