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. Author manuscript; available in PMC: 2009 Oct 5.

Published in final edited form as: Ann Dyslexia. 2009 Apr 25;59(1):34–54. doi: 10.1007/s11881-009-0022-0

Table 6.

Hierarchical regression models predicting reading comprehension

Step and predictors entered	GORT-4 comprehension								WRMT/NU passage comprehension
	R²	F	p	R²+	▴F	▴p	β	p(β)	R²	F	p	R²+	▴F	▴p	β	p(β)
Model 1A	0.12	5.60	0.02	0.12	5.60	0.02			0.44	32.01	0.00	0.44	32.01	0.00
TOWRE composite							0.35	0.02							0.66	0.00
Model 1B	0.29	8.19	0.00	0.17	9.61	0.00			0.58	27.63	0.00	0.14	13.49	0.00
TOWRE composite							−0.23	0.33							0.14	0.43
GORT-4 fluency							0.71	0.00							0.64	0.00
Model 1C	0.45	10.79	0.00	0.16	11.63	0.00			0.67	26.49	0.00	0.09	10.75	0.00
TOWRE composite							−0.07	0.76							0.26	0.11
GORT-4 fluency							0.17	0.52							0.24	0.23
Oral language composite							0.58	0.00							0.43	0.00
Model 1D	0.52	7.99	0.00	0.07	2.53	0.09			0.68	15.97	0.00	0.01	0.73	0.49
TOWRE composite							−0.07	0.73							0.27	0.11
GORT-4 fluency							0.58	0.57							0.24	0.25
Oral language composite							0.51	0.00							0.42	0.00
TOL excess moves							−0.28	0.05							−0.14	0.24
Mazes							−0.01	0.93							−0.07	0.57

N=46