Table 4. Impact of PFL on emotional and behavioral functioning—Main and interaction effects.

	UW	IPW	UW	IPW	UW	IPW
Panel A: Main Effect Models	CBCL Internalizing Problems		CBCL Externalizing Problems		CBCL Total Problems
Treatment	-0.71 (1.60)	-1.30 (1.81)	-0.39 (1.47)	-1.33 (1.61)	-1.46 (1.57)	-2.36 (1.77)
	CBCL Internalizing Problems Cutoff		CBCL Externalizing Problems Cutoff		CBCL Total Problems Cutoff
Treatment	-0.09 (0.05)	-0.01 (0.06)	-0.02 (0.05)	-0.04 (0.05)	-0.10* (0.04)	-0.13** (0.05)
Panel B: Interaction Effect Models	CBCL Internalizing Problems		CBCL Externalizing Problems		CBCL Total Problems
Treatment	-0.58 (2.15)	-0.92 (2.44)	-0.19 (1.98)	-1.24 (2.13)	-0.86 (2.11)	-1.62 (2.39)
Gender (Boy)	0.79 (2.37)	2.28 (2.97)	0.22 (2.18)	0.89 (2.74)	0.99 (2.33)	2.15 (2.97)
Treatment*Gender	-0.52 (3.30)	-1.46 (3.93)	-0.46 (3.04)	-0.46 (3.52)	-1.50 (3.23)	-2.11 (3.81)
	CBCL Internalizing Problems Cutoff		CBCL Externalizing Problems Cutoff		CBCL Total Problems Cutoff
Treatment	0.06 (0.07)	0.07 (0.08)	0.07 (0.06)	0.06 (0.06)	-0.05 (0.06)	-0.07 (0.07)
Gender (Boy)	0.11 (0.06)	0.15* (0.08)	0.11* (0.05)	0.13* (0.06)	0.02 (0.07)	0.03 (0.10)
Treatment*Gender	-0.14 (0.09)	-0.18 (0.11)	-0.19* (0.08)	-0.19* (0.09)	-0.12 (0.10)	-0.13 (0.11)

Note: n = 164 (intervention 81; control 83). The main effect models reported in Panel A and the interaction effect models reported in Panel B represent different models. UW: Unweighted results. IPW: Inverse Probability Weighted results. Regression coefficients and standard errors (in parentheses) are reported for the continuous scores. Marginal effects and standard errors (in parentheses) are presented for the binary variables. A logistic model for the Total Problems cutoff score in the interaction analysis could not be estimated as none of the male children in the intervention group reached the cutoff, instead a linear probability model was estimated via OLS.

*p<0.05;

**p<0.01.