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. Author manuscript; available in PMC: 2021 Apr 30.
Published in final edited form as: Fam Process. 2017 Oct 22;57(3):679–693. doi: 10.1111/famp.12330

TABLE 1.

Hierarchical Linear Regression to Predict Adolescent Risky Behaviors (Left Panel) and Anxiety Symptoms (Right Panel)

Adolescent Risky Behaviors
Adolescent Anxiety Symptoms
Models
Models
Predictors 0A 1A 2A 3A 4A 5A 0A 1B 2B 3B 4B 5B
Baseline child symptomsa .007 .005 .007 .003 .008 .002 .020*** .022*** .021*** .022*** .025*** .024***
Mother anxiety .386** .398** .408** .400** .339* .421** .043 .029 .038 .035 −.026 .029
Father anxiety .029 −.002 −.039 −.025 −.062 −.072 .023 .091 .084 .094 .133 .090
Mother overcontrol (MO) .002 −.062 .001 −.064 −.014 .086 .062 .087 .109 .095
Father overcontrol (FO) .046 .046 −.048 .030 −.063 −.018 −.013 −.008 −.042 −.035
MO × MO .164** .151** .085
FO × FO .125** −.063** −.022
Attunement −.003 −.002 .001 .001
MO × attunement −.009* −.014*
FO × attunement −.008* −.003
Adjusted R-squared .115** .111** .177*** .170*** .203*** .194*** .093** .119** .120** .110** .160** .122**

Notes: All values are unstandardized betas from final step. Terms used to compute interactions and quadratics are mean centered. Model 0 shows the values of covariates entered as the first step in all subsequent models. Model 1 adds mother and father overcontrol as predictors entered at step 2. Models 2 and 3 test for curvilinear effects of mothers’ and fathers’ overcontrol, respectively, added as separate step 3s. Models 4 and 5 test for interactive effects of attunement with mothers’ and fathers’ overcontrol, respectively. When significant curvilinear effects are found in step 3 (models 2 or 3), they are retained in tests of interactions (step 4, models 4A and 5A). When no significant curvilinear effects are found in step 3, they are not retained, and interactions are tested in a new step 3 (models 4B and 5B). Left panel N = 104. Right panel N = 101.

a

Left panel: baseline child externalizing symptoms; right panel: baseline child anxiety symptoms.

*

p < .05

**

p < .01

***

p < .001.