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. 2022 Jun 30;11(2):577–587. doi: 10.1556/2006.2022.00047

Table 2.

Association between PSU growth trajectory and covariates

Model 1 Model 2
b SE p b SE p
Gender → Intercept −0.11 0.03 0.001 −0.09 0.03 0.004
Gender → Linear slope 0.53 0.18 0.003 0.42 0.17 0.015
Gender → Quadratic slope −0.64 0.22 0.004 −0.49 0.22 0.025
Early life SES → Intercept 0.00 0.02 0.888 0.00 0.02 0.878
Early life SES → Linear slope −0.29 0.10 0.003 −0.23 0.10 0.019
Early life SES → Quadratic slope 0.38 0.13 0.004 0.31 0.13 0.015
Childhood unpredictability → Intercept 0.10 0.03 <0.001 0.09 0.03 <0.001
Childhood unpredictability → Linear slope 0.12 0.14 0.395 −0.13 0.14 0.366
Childhood unpredictability → Quadratic slope 0.07 0.18 0.683 0.32 0.19 0.081
PCR → PSU (age 10) −0.16 0.02 <0.001
PCR → PSU (age 11) −0.22 0.02 <0.001
PCR → PSU (age 12) −0.28 0.02 <0.001
PCR → PSU (age 13) −0.26 0.01 <0.001
PCR → PSU (age 14) −0.29 0.02 <0.001
PCR → PSU (age 15) −0.27 0.02 <0.001
PCR → PSU (age 16) −0.24 0.02 <0.001
PCR → PSU (age 17) −0.22 0.03 <0.001
PCR → PSU (age 18) −0.17 0.04 <0.001

Note. Gender was coded as: 1 = male; 2 = female. PCR = Parent–child relationship.