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Table 1 Analysis by the Rasch model - overall fit statistics for J-EAT-10

From: Item analysis of the Eating Assessment Tool (EAT-10) by the Rasch model: a secondary analysis of cross-sectional survey data obtained among community-dwelling elders

Scale analysis

% Extr.

Fit residuals mean (SD)

Item-trait interaction

Reliability

Unidi-mensionality

Item

Person

χ2 (df)

P

PSI / α

Power of fit

T-test %

Initial analyses

 1. Full sample (N = 1144)

42%

−0.66 (4.16)

− 0.30 (1.08)

485.48 (40)

< 0.001

0.65 / 0.85

Good

2.27%

 2. Independent group (N = 594)

53%

− 0.82 (2.13)

−0.37 (0.86)

175.92 (30)

< 0.001

0.32 / 0.72

Too low

0.72%

 3. Dependent group (N = 550)

30%

−0.19 (3.53)

−0.25 (1.17)

293.28 (40)

< 0.001

0.74 / 0.87

Good

1.83%

Analysis after reducing to three scoring categories (full sample,N = 1144)

 4. Scoring structure: 00122a

65%

−0.89 (3.21)

−0.25 (0.77)

284.01 (40)

< 0.001

0.38 / 0.76

Low

1.73%

 5. Scoring structure: 01112

42%

−1.73 (4.72)

−0.35 (0.90)

416.01 (40)

< 0.001

0.69 / 0.83

Good

1.21%

 6. Scoring structure: 01122

42%

−1.90 (4.34)

−0.38 (1.01)

448.90 (40)

< 0.001

0.66 / 0.83

Good

2.27%

 7. Scoring structure: 01222

43%

−0.78 (4.26)

−0.26 (1.11)

439.37 (40)

< 0.001

0.65 / 0.89

Reasonable

0.76%

 8. Scoring structure: 00112

65%

−0.56 (4.04)

−0.24 (0.74)

225.24 (30)

< 0.001

0.49 / 0.76

Low

1.98%

Optimal values <  15%

0 (<  1.00)

0 (<  1.00)

 

> 0.05

> 0.70

< 5%

  1. J-EAT-10 Japanese version of the Eating Assessment Tool, % Extr. percentage of extreme scores, χ2 Chi-square, SD standard deviation, df degrees of freedom, PSI Person Separation Index, α Cronbach’s alpha, CI confidence interval
  2. aScoring structure suggested by Cordier et al. [16]