Table V.

Summary of the multiple linear regression analysis between the FIM Cognitive subscale 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)10.1413.00 0.780.45[−17.73, 38.02]  18.02c0.44c[−62.93c, 110.14c]
Orientation3.031.570.531.920.08[−0.35, 6.40]0.440.192.05c0.13c[−1.24c, 4.87c]
Attention/Calculation−0.460.56−0.20−0.820.43[−1.66, 0.74]−0.190.040.70c0.46c[−1.92c, 0.0.84c]
Delayed recall−1.081.61−0.17−0.670.52[−4.54, 2.39]−0.150.022.28c0.60c[−6.13c, 2.07c]
Language−0.321.42−0.07−0.230.82[−3.38, 2.73]−0.050.001.52c0.81c[−2.64c, 2.39c]
Copying−0.943.56−0.07−0.260.80[−8.58, 6.70]−0.060.002.80c66c[−6.04c,d, 4.60c]

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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