Coefficients for linear regression and binary logistic regression models of mobility predicting outcomes in the presence of additional control variables.

	Linear Regression			Binary Logistic Regression
	Highest Grade Completed	Depression Symptoms	Occupational Prestige	On-Time Graduation	Adult Arrest	Felony Arrest
	B(SE)	B(SE)	B(SE)	OR[CI]	OR(CI)	OR(CI)
School mobility k-12	−.04(.03)	.04(.02)*	−.03(.03)	.90[0.81,.99]*	1.13[1.02,1.25]*	.95[.84,1.09]
Residential mobility	−.10(.06)	.10(.05)*	−.05(.05)	.87[.70,1.11]	.94[.76,1.17]	1.66[1.25,2.19]**
Gender (female)	.28(.09)**	.03(.06)	.22(.08)**	1.63[1.22,2.17]**	.14[.11,.19]**	.08[.04,.13]**
Ethnicity (AA)	−.23(.16)	.04(.11)	−.10(.14)	.87[.51,.1.49]	1.30[.75,2.26]	.94[.52,1.11]
CPC preschool	.14(.09)	.01(.07)	.07(.08)	.93[.68,1.28]	1.07[.78,1.45]	.76[.52,1.11]
CPC grade school	−.07(.09)	.02(.07)	−.08(.08)	1.12[.82,1.52]	1.11[.82,1.51]	1.34[.91,1.96]
Risk Index	−.12(.03)**	.03(.02)	−.07(.03)*	.90[.81,.99]*	1.00[.89,1.10]	.98[.85,1.12]
K achievement	.00(.00)	.00(.00)	.00(.00)	1.00[.99,1.01]	1.00[.98,1.01]	1.00[.99,1.01]
Social maturity	.03(.01)**	−.02(.01)**	.01(.01)**	1.02[.99, 1.06]	.98[.95,1.01]	1.01[.97,1.05]
Child Abuse/Neglect	−.20(.18)	.13(.13)	.12(.16)	1.01[.53,1.95]	1.26[.70,2.29]	1.79[.89,3.59]
Grade retention	−.34(.10)**	−.08(.07)	−.19(.09)	.07[.04,.12]**	.77[.54,1.09]	1.19[.80,1.78]
Special Education	−.20(.11)	.15(.08)	−.31(.10)	1.17[.75,1.81]	1.31[.90,1.90]	1.45[.96,2.20]
Juvenile delinquency	−.59(.11)**	.25(.08)**	−.62(.10)**	.22[.14,.32]**	4.93[3.44,7.05]**	4.65[3.28,6.60]**
Any Welfare	−.44(.14)**	−.01(.10)	−.36(.13)**	.56[.33,.93]*	.96[.59,1.54]	1.25[.71,2.23]
Risk Index (age 17)	−.04(.03)	.01(.02)	−.03(.03)	.90[.80,1.00]	1.13[1.01,1.26]*	1.11[.97,1.28]
High Social maturity	.71(.12)**	−.28(.09)**	.74(.11)**	1.93[1.30,2.88]**	.60[.37,.95]*	.24[.09,.61]
Model R2	.25**	.07**	.20**	.42**	.40**	.43**

Note. N = 1410. SE = standard error, OR = odds ratio, CI = confidence interval.

^*p < .05, two-tailed

^**p < .01, two-tailed