Table III.

Summary of the multiple linear regression analysis between the FIM total score and the MMSE subscale scores (N = 20)

Predictors (MMSE subscales scores)BaBefore bootstrappingAfter bootstrappingb
SE Bβtp95.0% CI for B [LL, UL]PCPC2SE BpBCa 95% CI [LL, UL]
(Constant)21.5850.15 0.430.67[−85.98, 129.14]  71.92c0.65c[−120.41c, 328.73c]
Orientation9.496.070.441.560.14[−3.53, 22.51]0.370.147.36c0.21c[−4.72c, 15.71c]
Attention/Calculation−0.242.16−0.03−0.110.91[−4.88, 4.40]−0.030.003.14c0.94c[−6.52c, 5.95c]
Delayed recall−4.426.23−0.19−0.710.49[−17.77, 8.95]−0.170.036.50c0.48c[−20.32c, 6.95c]
Language−0.675.49−0.04−0.120.91[−12.45, 11.12]−0.030.006.81c0.91c[−16.42c, 14.02c]
Copying−10.9613.74−0.21−0.800.44[−40.43, 18.50]−0.190.0417.61c0.56c[−52.89c,d, 17.93c]

Notes:

MMSE = Mini-Mental State Examination; FIM = Functional Independence Measure; Constant = y intercepts of regression line; B = Unstandardized beta coefficient; SE B = Standard error for the unstandardized beta; β = Standardized beta; t = The t test statistic; CI = Confidence interval; LL = Lower limit; UL = Upper limit; PC = Part correlation; PC2 = Part correlation square; BCa = Bias-corrected and accelerated. All values rounded to two decimal places. The MMSE registration subscale score was a constant and therefore was deleted from the analysis.

a

B remained unchanged after bootstrapping;

b

Unless otherwise noted, bootstrap results are based on 1,000 bootstrap samples;

c

Based on 876 samples;

d

Some results could not be computed from jackknife samples; so, this CI is computed by the percentile method rather than the BCa method

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