Table 7.

Coefficients and Classification Indices for the Extension Models using Paragraph Reading Measures

Measure	B	SE	Wald	p	TN	FN	TP	FP	HR	Sensitivity	Specificity	AUC	SE	z
Model 7: Base Model (n = 320)					235	5	45	35	87.2	90.0	87.0	0.950	0.012	—
WIF Screen	−0.120	0.038	9.809	0.002
RDN	−0.243	0.100	5.852	0.016
Sound Matching	−0.380	0.122	9.672	0.002
Oral Vocabulary	−0.047	0.018	6.985	0.009
Constant	9.013	1.903	22.439	0.000
Model 8: Extension using RR (n = 320)					235	5	45	35	87.2	90.0	87.0	0.950	0.012	0.00
WIF Screen	−0.122	0.042	8.375	0.005
RDN	−0.244	0.101	5.852	0.016
Sound Matching	−0.381	0.123	9.610	0.003
Oral Vocabulary	−0.047	0.018	6.959	0.009
RR	0.008	0.089	0.008	0.928
Constant	9.025	1.908	22.382	0.000
Model 9: Extension using ORF (n= 320)					237	5	45	33	87.9	90.0	87.8	0.951	0.011	0.22
WIF Screen	−0.031	0.050	0.393	0.531
RDN	−0.193	0.103	3.486	0.062
Sound Matching	−0.332	0.123	7.279	0.008
Oral Vocabulary	−0.048	0.019	6.355	0.012
ORF	−0.048	0.019	6.325	0.013
Constant	8.697	1.979	19.307	0.000

Note. Hit rate, sensitivity, and specificity are expressed as percentages. WIF Screen = Word Identification Fluency screening measure; RDN = Rapid Digit Naming; RR = Running Record; ORF = Oral Reading Fluency; TN = true negatives; FN = false negatives; TP = true positives; FP = false positives; HR= Hit rate (TP + TN)/N; sensitivity = TP/(TP + FN); specificity = TN/(TN + FP); ROC = receiver operating characteristic; AUC = area under the curve. z = test for difference in AUC compared to Model 7: Extension Base Model. Models 8 and 9 were compared to Model 7.