Table 4.

Hierarchical Linear Modeling of Level 1 Intercepts as a Function of Subject Characteristics

Outcome	Fixed Effect	Coefficient	SE	t
Total Words	Intercept (β00)	497.30	32.41	15.34***
	Pre CI Aided PTA (β01)	−7.82	1.71	1.71***
	Age at implant (β02)	−11.93	4.86	4.87**
	(Age at implant)2 (β03)	0.42	0.50	0.84
Root Words	Intercept	125.56	5.62	22.34***
	Pre CI Aided PTA	−1.80	0.29	−6.10***
	Age at implant	−2.07	0.83	−2.50***
	(Age at implant)2	0.10	0.09	1.20
MLU	Intercept	1.98	0.07	26.83***
	Pre CI Aided PTA	−0.02	0.00	−3.75***
	Age at implant	−0.04	0.01	−3.75***
	(Age at implant)2	0.00	0.00	1.92
Bound Morphemes	Intercept	34.55	3.72	9.29***
	Pre CI Aided PTA	−0.98	0.20	−4.81***
	Age at implant	−1.58	0.52	−3.03**
	(Age at implant)2	0.09	0.05	1.62
Different Morphemes	Intercept	5.89	0.34	17.46***
	Pre CI Aided PTA	−0.11	0.02	−6.13***
	Age at implant	−0.19	0.05	−3.76***
	(Age at implant)2	0.01	0.00	1.68

^**p < .01

^***p < .001 df = 72

Note: The t-values for the intercept reflect the expected outcome that means will be different from zero.