Table 2.

Factors that Relate Most Closely to School Misbehavior for Ninth Grade Boys and Girls (RQ1) Based on Estimates from a Linear Regression Model with Standard Errors Clustered at the School and Squared Semipartial Correlations (SemiP^{^}2).

	Model 1: Boys			Model 2: Girls
	B	(SE)	SemiP^2	B	(SE)	SemiP^2
Contextual Contributors to School Misbehavior
Region (ref=Midwest):			0.0003			0.0008**
Northeast	0.00	(0.05)		−0.09*	(0.04)
South	0.05	(0.04)		−0.01	(0.03)
West	0.01	(0.05)		0.01	(0.04)
Urbanicity (ref=Suburban):			0.0000			0.0001
City	0.01	(0.04)		0.03	(0.03)
Town	−0.10*	(0.05)		−0.01	(0.04)
Rural	−0.05	(0.03)		−0.07*	(0.03)
School type (ref=Public):			0.0000			0.0000
Catholic	−0.17**	(0.05)		−0.19***	(0.05)
Other private	0.02	(0.07)		0.05	(0.06)
Percent students eligible for free or reduced lunch	0.00 0.00	(0.00)	0.0005	0.00	(0.00)	0.0016*
Percent student Black	0.00	(0.00)	0.0000	0.00	(0.00)	0.0002
Percent students Latinx	0.00	(0.00)	0.0003*	0.00	(0.00)	0.0002
Percent students Asian	0.00	(0.00)	0.0003*	0.00	(0.00)	0.0001
Negative peer climate	0.01	(0.02)	0.0003*	0.02	(0.02)	0.0001
Adolescents’ Negative Experiences
With teachers	0.14***	(0.01)	0.0159***	0.12***	(0.01)	0.0139***
With math course placement	0.02	(0.02)	0.0008**	0.04*	(0.02)	0.0010***
With achievement	0.51***	(0.02)	0.1461***	0.44***	(0.02)	0.1320***
Constant	0.14**	(0.04)		−0.14***	(0.05)

Source: US Department of Education, National Center for Education Statistics, “The High School Longitudinal Study of 2009” 2009.

Note: The results for the predictors with the two largest squared semipartial correlations (SemiP^2) for boys and girls are bolded.

^***p < 0.001

^**p < 0.01

^*p < 0.05.