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Table 3 Effects of MMSE, age, gender, and interview duration on item nonresponse

From: Effects of age and cognitive function on data quality of standardized surveys in nursing home populations

Spearman (rs) correlation and eta22) statisticsa

 

Duration*INR (rs)

Age*INR (rs)

Gender*INR (ɲ2)

MMSE*INR (rs)

rs2,

p (n)

−0.067,

p ≈ 0.089 (640)

0.161,

p < 0.001 (653)

0.004,

p ≈ 0.081 (653)

−0.355,

p < 0.001 (655)

BLR – Binary logistic regression statisticsa (factor: MMSE 10–17 vs. 18–30, n = 655)

Response

B (SE)

Wald

OR [CI 95%]

p

> 0% INR

1.02

22.4

2.78 [1.82–4.25]

p < 0.001

> 5% INR

1.34

45.2

3.83 [2.58–5.66]

p < 0.001

> 10% INR

1.46

42.6

4.31 [2.78–6.68]

p < 0.001

MLR – Multiple linear regression statisticsa (enter-model, response: INR, n = 637)

Factor

B (SE)

β

t

p

Duration

0.00 (0.00)

0.04

1.22

p ≈ 0.233

Age

0.14 (0.04)

0.12

3.22

p ≈ 0.001

MMSE

−0.65 (0.06)

−0.39

−10.82

p < 0.001

Gender

−0.92 (0.78)

− 0.04

−1.17

p ≈ 0.242

Sample

−0.77 (0.66)

−0.02

− 0.60

p ≈ 0.244

R2corr

16.5%

   

F, p

32.79, p < 0.001

   

MLR – Multiple linear regression statisticsa (stepwise-model, response: INR, n = 637)

Factor

B (SE)

β

t

p

MMSE

−0.65 (0.06)

−0.40

−10.79

p < 0.001

Age

0.14 (0.04)

0.12

3.20

p < 0.001

R2corr

16.7%

   

F, p

64.71, p < 0.001

   
  1. MMSE Mini-Mental State Examination Score, INR Item nonresponse, Duration Interview duration, Sample Pre−/post-test-dummy, n Sample sizes, B Unstandardized coefficients, SE Standard error, OR Odds ratio, β Standardized coefficient, t t-statistic, R2corr Adjusted determination coefficient; F F-statistic; a Number of test correction = 14 (αcorr = 0.00357, Bonferroni); b Excluded in step 2: duration, gender, sample