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. 2017 Nov 21;8:1922. doi: 10.3389/fpsyg.2017.01922

Table 2.

Love factors as predictors of total number of children.

Children Total
Model A Model B
Predictors B (SE) Exp B β B (SE) Exp B β
Intercept 0.44(0.22) 1.55 0.82(0.07)*** 2.27
Sex 0.13(0.07) 1.14 0.11 0.12(0.07) 1.13 0.11
Age 0.46(0.07)*** 1.58 0.50 0.46(0.06)*** 1.58 0.50
BMI −0.02(0.06) 0.98 –0.01 −0.003(0.05) 1.00 −0.01
Intimacy −0.04(0.09) 0.96 –0.07 −0.03(0.08) 0.97 −0.09
Passion 0.08(0.11) 1.09 0.05 0.06(0.09) 1.07 0.04
Commitment 0.23(0.11)* 1.26 0.19 0.24(0.11)* 1.27 0.21
Sex × Intimacy −0.23(0.08)** 0.80 −0.23
Sex × Passion 0.22(0.09)** 1.24 0.24
Sex × Commitment −0.05(0.10) 0.96 −0.05
Deviance (df) 205.55(df = 118) 189.23 (df = 115)
Model A vs. B 16.3(df = 3)**
R2 0.27 0.30

N = 159. Sex coded: Men = −1, Women = 1. All predictors except sex were introduced to the models as z-scored variables. All unstandardized coefficients (β-values with robust standard errors) should be read as the expected increase or decrease (in case of positive and negative coefficient values, respectively) of the dependent variable (i.e., the number of children) in log units for a one-unit increase in predictor. For a more convenient interpretation, we also present results as incident rate ratios (ExpB), showing the percent change in incident rate of number of children related to a unit change in predictors. β- and R2-values came from linear regression models with log-transformed dependent variables.

*

p < 0.05,

**

p < 0.01;

***

p < 0.001.