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. Author manuscript; available in PMC: 2011 Apr 1.
Published in final edited form as: Learn Individ Differ. 2010 Apr 1;20(2):82–88. doi: 10.1016/j.lindif.2009.07.004

Table 6.

Results of Block Entry Regression for the End of First Grade Math Applications and the End of Third Grade Math Applications: Regression Coefficients and Variance Explained by Each Block of Variables



First Grade Math Applications
Third Grade Math Applications
Model B β t value p value Effect size* B β t value p value Effect size*
One
    Age 0.37 0.09 1.95 0.05 0.01 0.00 0.02 0.98
    Vocabulary 0.17 0.31 5.56 0.00 0.22 0.28 4.08 0.00
    Matrix Reasoning 0.19 0.29 5.49 0.00 0.38 0.41 6.51 0.00
    Digit Span Forward 0.12 0.06 1.11 0.27 0.07 0.03 0.38 0.71
    Digit Span Backward 0.39 0.19 3.37 0.00 0.34 0.12 1.74 0.08
Two
    Age 0.21 0.05 1.27 0.21 - −0.21 −0.04 −0.78 0.44 -
    Vocabulary 0.07 0.13 2.54 0.01 0.03 0.08 0.10 1.67 0.10 -
    Matrix Reasoning 0.09 0.13 2.79 0.01 0.03 0.22 0.24 4.20 0.00 0.11
    Digit Span Forward 0.16 0.08 1.65 0.10 - 0.14 0.05 0.89 0.37 -
    Digit Span Backward 0.11 0.05 1.07 0.29 - 0.04 0.01 0.21 0.83 -
    Number Sense Brief 0.36 0.52 9.69 0.00 0.44 0.55 0.54 9.11 0.00 0.45
Model
R Square
R Square Change
F Change
df 1
df 2

R Square
R Square Change
F Change
df 1
df 2
One 0.44 43.01** 5 273 0.45 30.34** 5 187
Two 0.58 0.14 93.89** 1 272 0.62 0.17 82.97** 1 186
*

Cohen's (1988) f2 statistic where 0.02 is a small effect size, 0.15 is a medium effect size, and 0.35 is a large effect size.

**

p < 0.01