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. Author manuscript; available in PMC: 2011 May 1.
Published in final edited form as: J Educ Psychol. 2010 May 1;102(2):327–340. doi: 10.1037/a0018448

Table 6.

Coefficients and Classification Indices for the Extension Models using Progress Monitoring and Dynamic Assessment

Measure B SE Wald p TN FN TP FP HR Sensitivity Specificity AUC SE z
Model 3: Extension Base Model (n = 355) 257 5 49 44 86.0 90.7 85.4 0.948 0.012
 WIF Screen −0.120 0.037 10.693 0.002
 RDN −0.246 0.095 6.750 0.010
 Sound Matching −0.372 0.115 10.537 0.002
 Oral Vocabulary −0.051 0.017 9.193 0.003
 Constant 9.320 1.818 26.276 0.000
Model 4: Extension using WIF_N (n = 355) 265 5 49 36 88.2 90.7 88.0 0.957 0.010 2.51*
 WIF Screen 0.028 0.059 0.228 0.633
 RDN −0.146 0.101 2.117 0.147
 Sound Matching −0.300 0.124 5.856 0.016
 Oral Vocabulary −0.053 0.018 8.521 0.004
 WIF_N Level −0.128 0.041 9.885 0.002
 WIF_N Slope −0.264 0.701 0.142 0.706
 Constant 9.417 1.982 22.610 0.000
Model 5: Extension using WIF_B (n = 355) 274 5 49 27 90.7 90.7 91.0 0.963 0.009 3.29*
 WIF Screen 0.067 0.059 1.300 0.256
 RDN −0.170 0.104 2.676 0.102
 Sound Matching −0.207 0.128 2.628 0.106
 Oral Vocabulary −0.056 0.019 9.205 0.003
 WIF_B Level −0.416 0.102 16.695 0.000
 WIF_B Slope 5.289 1.958 7.295 0.008
 Constant 9.856 2.025 23.688 0.000
Model 6: Extension using DA (n = 355) 264 5 49 37 88.2 90.7 87.7 0.953 0.011 2.24*
 WIF Screen −0.102 0.038 7.285 0.008
 RDN −0.215 0.098 4.814 0.029
 Sound Matching −0.292 0.122 5.770 0.017
 Oral Vocabulary −0.052 0.017 8.934 0.003
 DA 0.211 0.099 4.541 0.034
 Constant 5.757 2.407 5.722 0.017

Note. Hit rate, sensitivity, and specificity are expressed as percentages. WIF Screen = Word Identification Fluency screening measure; RDN = rapid digit naming; DA = dynamic assessment; RR = running records level; WIF_N Level = Level of Word Identification Fluency_Narrow at week 5; WIF_N Slope = Slope of Word Identification Fluency_Narrow over 5 weeks; WIF_B Level = Level of Word Identification Fluency_Broad at week 5; WIF_B Slope = Slope of Word Identification Fluency_Broad over 5 weeks; 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 3: Extension Base Model.

*

p < 0.05