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. 2013 Feb 4;8(2):e55994. doi: 10.1371/journal.pone.0055994

Table 3. Summary of Hierarchical Linear Regression Analyses Using IQ, Speed Indices, and Executive Function, as Predictors for Mathematics and Attention Problems.

Step Predictor ΔR2 P β P
Preschool
Mathematics
1 Groupa .34 <.001 −.35 .006
2 Groupa .46 .007 −.17 .21
IQ .35 .007
Parent Rated Attention Problems
1 Groupa .13 .006 .32 .004
4 Groupa .18 .04 .26 .03
Impulse Control .25 .04
Teacher Rated Attention Problems
1 Groupa .20 .003 .41 .003
Primary School
Mathematics
1 Groupa .80 <.001 −.11 .01
4 Groupa .84 <.001 −.04 .16
Speed Indices −.05 .10
IQ .16 <.001
Visuospatial Span .13 <.001
Parent Rated Attention Problems
1 Groupa .21 <.001 .23 <.001
4 Groupa .15 .04
IQ −.14 .06
Visuospatial Span −.16 .04
Teacher Rated Attention Problems
1 Groupb .25 .01 .30 <.001
Group*Gender −.23 .005
4 Groupb .38 .009 .18 .01
Group*Gender −.18 .03
IQ −.005 .96
Group*IQ −.24 .02
Visuospatial Span −.19 .009
Impulse Control .19 .005

Significant associations (P<.05) are shown in bold type.aEffects of group have been adjusted for grade or age, gender, and most prestigious level of parental education.bEffects of group have been adjusted for grade or age, and most prestigious level of parental education.