Table 3.

Logistic Regression Models Predicting Permanency

	Model 1			Model 2
	b (se)	OR	95% CI	b (se)	OR	95% CI
PFR condition	.54 (.44)	1.72	[ .73 – 4.04]	.26 (.48)	1.30	[ .51 – 3.31]
Foster/Kin	−3.05 (.45)	.05***	[ .02 – .11]	−3.20 (.47)	.04***	[ .02 − .10]
Age of child months	.05 (.05)	1.05	[ .96 – 1.14]	.06 (.05)	1.06	[ .97 – 1.16]
Months in child welfare	.06 (.04)	1.06	[ .99 – 1.14]	.07+ (.04)	1.07	[ .99 – 1.16]
Number of prior placements	.09 (.16)	1.10	[ .81 – 1.48]	.06 (.16)	1.06	[ .78 – 1.45]
Multiple removals	−1.47 (.78)	.23+	[ .05 – 1.07]	−1.29 (.76)	.28+	[ .06 – 1.23]
Commitment	.81 (.35)	2.24*	[1.14 – 4.43]	.76 (.35)	2.13*	[1.09 – 4.19]
PFR by Foster/Kim	---	---		2.27 (.94)	9.67*	[1.54 – 60.68]
Constant	−5.20 ** (1.78)			−5.25** (1.78)

Note: OR = odds ratio; CI = confidence interval;

⁺p < .10;

^*p < .05;

^**p < .01;

^***p < .001