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. Author manuscript; available in PMC: 2019 Feb 1.
Published in final edited form as: Biol Psychol. 2017 Dec 15;132:143–153. doi: 10.1016/j.biopsycho.2017.11.011

Table 3.

Parameter Estimates (Standard Errors) for Multinomial Logistic Regressions Predicting Group Membership

Reference Group Low sC–Low sAA High sC–Low sAA

Comparison Group vs. Low sC–High sAA vs. High sC–Low sAA vs. High sC–High sAA vs. Low sC–Low sAA vs. Low sC–High sAA vs. High sC–High sAA
Intercept −2.613 −0.500 −4.254 0.500 −2.113 −3.754
(1.971) (2.250) (2.349) (2.250) (1.919) (2.254)
Covariates
 Child gender −0.233 0.659 0.528 −0.659 −0.892 −0.131
(0.482) (0.551) (0.603) (0.551) (0.495) (0.607)
 Child puberty 1.087 0.775 0.802 0.775 0.312 0.026
(0.586) (0.673) (0.747) (0.673) (0.586) (0.743)
 Child medication −0.086 −0.044 0.102 0.044 −0.042 0.147
(0.195) (0.224) (0.206) (0.224) (0.218) (0.225)
Predictor
 Internalizing 0.054 0.049 0.089* −0.049 0.005 0.040
 Problems (0.039) (0.043) (0.043) (0.043) (0.033) (0.036)
 Externalizing 0.018 −0.040 −0.008 0.040 0.058* 0.032
 Problems (0.026) (0.033) (0.033) (0.033) (0.028) (0.035)

 χ2 (df) 16.967 (15)
 Nagelkerke’s R2 .127

Note. Parameter estimates reflect multinomial log-odds of group membership (reference vs. comparison) for each unit increase in covariate or predictor of interest.

*

p < .05.