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. 2019 Oct 10;9:100498. doi: 10.1016/j.ssmph.2019.100498

Table 2.

Multiple regression parameter tests.

Factor F d.f. P
Age 966.16 2 <.0001
Nonlinear 1.71 1 0.1915
Study 43.91 7 <.0001
Race (Factor + Higher Order Factors) 58.56 16 <.0001
All Race Interactions 3.15 14 0.0001
Gender (Factor + Higher Order Factors) 20.85 12 <.0001
All Gender Interactions 7.01 11 <.0001
Education (Factor + Higher Order Factors) 20.80 6 <.0001
All Education Interactions 5.76 5 <.0001
Income (Factor + Higher Order Factors) 9.27 12 <.0001
All Income Interactions 2.99 10 0.0009
Nonlinear (Factor + Higher Order Factors) 3.30 6 0.0030
Race * Education (Factor + Higher Order Factors) 2.00 4 0.0919
Gender * Education (Factor + Higher Order Factors) 7.07 3 0.0001
Race * Gender (Factor + Higher Order Factors) 3.53 8 0.0004
Race * Income (Factor + Higher Order Factors) 3.13 8 0.0015
Nonlinear (Factor + Higher Order Factors) 3.89 4 0.0037
Nonlinear Interaction: f(A,B) vs. AB 4.08 2 0.0170
Gender * Income (Factor + Higher Order Factors) 3.34 6 0.0027
Nonlinear (Factor + Higher Order Factors) 4.07 3 0.0067
Nonlinear Interaction: f(A,B) vs. AB 11.89 1 0.0006
Race * Gender * Education (Factor + Higher Order Factors) 1.05 2 0.3512
Race * Gender * Income (Factor + Higher Order Factors) 3.37 4 0.0091
Nonlinear 3.89 2 0.0204
TOTAL NONLINEAR 3.08 7 0.0030
TOTAL INTERACTION 5.37 17 <.0001
TOTAL NONLINEAR + INTERACTION
5.12
19
<.0001
TOTAL 213.70 32 <.0001

Tests for Race, Gender, Education, and Income consider all terms in which those variables are included. For example, the pooled 16 d.f. test of Race includes the main effect of Race, 2-way interactions with Gender, non-linear Income, and Education, and three-way interactions with Gender and non-linear Income, and Gender and Education. Tests of nonlinearity are based on restricted cubic spline with 3 knots. Similarly, the pooled test of, say, Race by Income, consider that 2-way interaction, plus the 3-way Race by Gender by Income interaction.