Table IV.

Summary of the multiple linear regression analysis between the FIM Motor subscale 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)11.4341.9 0.270.79[−78.43, 101.30]  59.57c0.78c[−66.14c, 179.78c]
Orientation6.475.070.371.280.22[−4.41, 17.34]0.310.106.16c0.27c[−6.07c, 13.87c]
Attention/Calculation0.221.810.030.120.90[−3.66, 4.10]0.030.002.69c0.94c[−4.43c, 4.61c]
Delayed recall−3.335.2−0.17−0.640.53[−14.49, 7.83]−0.160.025.32c0.55c[−15.81c, 7.60c]
Language−0.344.59−0.02−0.080.94[−10.19, 9.50]−0.020.005.99c94c[−14.21c, 13.39c]
Copying−10.0211.48−0.24−0.870.40[−34.64, 14.60]−0.210.0515.36c0.54c[−48.67c,d, 12.70c]

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 891 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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