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. 2014 Jun 20;6:112. doi: 10.3389/fnagi.2014.00112

Table 3.

Regression models for cut-off corrections of NADL global scores and scores on subtests.

Intercept (SE) Age (SE) Education (SE) Gender (SE) R2
Interview with patients 10.57 (0.21) −0.02 (0.004)
Interview with caregiver
Informal total 23.38 (0.49) −0.05 (0.008) 0.18
Formal total 70.78 (2.45) −0.10 (0.03) 0.39 (0.11) 0.26
Numerosity comparison
Number line
Digit comprehension
Reading number aloud 4.08 (0.13) 0.04 (0.01) 0.20 (0.09) 0.11
Writing numbers on dictation
Mental addition
Mental subtraction
Mental multiplication 4.45 (0.22) 0.07 (0.02) 0.09
Written rules 6.27 (0.38) −0.02 (0.004) 0.07 (0.02) 0.30
Written addition 3.42 (0.44) −0.02 (0.005) 0.07 (0.02) 0.25
Written multiplication 4.66 (0.21) −0.02 (0.004) 0.21
Written operations—addition
Written operations—subtraction 6.49 (0.27) −0.02 (0.004) 0.13
Written operations—multiplication
Total number comprehension
Total reading and writing Arabic numerals 9.54 (0.17) 0.06 (0.01) 0.25 (0.12) 0.14
Total mental calculation 15.96 (0.35) 0.09 (0.03) 0.05
Total rules and principles 13.74 (0.85) −0.05 (0.01) 0.17 (0.04) 0.40
Total written operations 17.02 (0.54) −0.04 (0.01) 0.11

Each row in the table reports the coefficients of one linear regression model. The first column reports the dependent variable, the following four columns report the parameter for the models (the value within brackets indicates the standard error for the parameter). The last column reports the adjusted R-squared. A missing value in the table indicates that the parameter did not contribute significantly to the model fit and then was removed in the modeling procedure. All coefficients reported (with the exception of Intercept, which is always included in a meaningful model) were selected by mean of backward elimination of non-significant variables. All variables reported significantly improved the fit of the model and their associated t-values had p < 0.05.